Publications

2024

• Rui-Jie Zhu, Qihang Zhao, Guoqi Li, Jason Eshraghian, SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks. Trans. Mach. Learn. Res. 2024, 2024.

• Heiner Litz, Natalia Vassilieva, Special Issue on Hot Chips 2023. IEEE Micro 44(3), 6-7, 2024.

• Ishita Chaturvedi, Bhargav Reddy Godala, Yucan Wu, Ziyang Xu, Konstantinos Iliakis, Panagiotis-Eleftherios Eleftherakis, Sotirios Xydis, Dimitrios Soudris, Tyler Sorensen 0001, Simone Campanoni, Tor M. Aamodt, David I. August, GhOST: a GPU Out-of-Order Scheduling Technique for Stall Reduction. ISCA, 1-16, 2024.

• Xinning Hui, Yuanchao Xu 0001, Zhishan Guo, Xipeng Shen, ESG: Pipeline-Conscious Efficient Scheduling of DNN Workflows on Serverless Platforms with Shareable GPUs. CoRR abs/2404.16812, 2024.

• Ziyu Wang, Fan-Hsuan Meng, Yongmo Park, Jason K. Eshraghian, Wei D. Lu, Side-Channel Attack Analysis on In-Memory Computing Architectures. IEEE Trans. Emerg. Top. Comput. 12(1), 109-121, 2024.

• Sreyes Venkatesh, Razvan Marinescu, Jason K. Eshraghian, SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks. CoRR abs/2404.19668, 2024.

• Ben Walters, Zhengyu Cai, Hamid Rahimian Kalatehbali, Amirali Amirsoleimani, Roman Genov, Jason Eshraghian, Mostafa Rahimi Azghadi, Spiking Auto-Encoder Using Error Modulated Spike Timing Dependant Plasticity. ISCAS, 1-5, 2024.

• Pao-Sheng Vincent Sun, Alexander Titterton, Anjlee Gopiani, Tim Santos, Arindam Basu, Wei D. Lu, Jason K. Eshraghian, Exploiting deep learning accelerators for neuromorphic workloads. Neuromorph. Comput. Eng. 4(1), 14004, 2024.

• Yuanchao Xu 0001, James Pangia, Chencheng Ye, Yan Solihin, Xipeng Shen, Data Enclave: A Data-Centric Trusted Execution Environment. HPCA, 218-232, 2024.

• Dai Cheol Jung, Max Ruttenberg, Paul Gao 0001, Scott Davidson 0004, Daniel Petrisko, Kangli Li, Aditya K. Kamath, Lin Cheng, Shaolin Xie, Peitian Pan, Zhongyuan Zhao 0004, Zichao Yue, Bandhav Veluri, Sripathi Muralitharan, Adrian Sampson, Andrew Lumsdaine, Zhiru Zhang, Christopher Batten, Mark Oskin, Dustin Richmond, Michael Bedford Taylor, Scalable, Programmable and Dense: The HammerBlade Open-Source RISC-V Manycore. ISCA, 770-784, 2024.

• Sreyes Venkatesh, Razvan Marinescu, Jason K. Eshraghian, SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks. NICE, 1-10, 2024.

• Tyler Sorensen 0001, Heidy Khlaaf, LeftoverLocals: Listening to LLM Responses Through Leaked GPU Local Memory. CoRR abs/2401.16603, 2024.

• Rui-Jie Zhu, Ziqing Wang, Leilani Gilpin, Jason K. Eshraghian, Autonomous Driving with Spiking Neural Networks. CoRR abs/2405.19687, 2024.

• Adam Hess-Dunlop, Harshitha Kakani, Colleen Josephson, Towards Deep Learning for Predicting Microbial Fuel Cell Energy Output. CoRR abs/2406.16939, 2024.

• Zihao Chen, Zhili Xiao, Mahmoud Akl, Johannes Leugering, Omowuyi Olajide, Adil Malik, Nik Dennler, Chad Harper, Subhankar Bose, Hector A. Gonzalez, Jason Eshraghian, Riccardo Pignari, Gianvito Urgese, Andreas G. Andreou, Sadasivan Shankar, Christian Mayr 0001, Gert Cauwenberghs, Shantanu Chakrabartty, ON-OFF Neuromorphic ISING Machines using Fowler-Nordheim Annealers. CoRR abs/2406.05224, 2024.

• Rui-Jie Zhu, Yu Zhang, Ethan Sifferman, Tyler Sheaves, Yiqiao Wang 0005, Dustin Richmond, Peng Zhou, Jason K. Eshraghian, Scalable MatMul-free Language Modeling. CoRR abs/2406.02528, 2024.

• Surim Oh, Mingsheng Xu, Tanvir Ahmed Khan, Baris Kasikci, Heiner Litz, UDP: Utility-Driven Fetch Directed Instruction Prefetching. ISCA, 1188-1201, 2024.

• Bugra Onal, Eren Dogan, Muhammad Hadir Khan, Matthew R. Guthaus, GAT-Steiner: Rectilinear Steiner Minimal Tree Prediction Using GNNs. CoRR abs/2407.01440, 2024.

• Samuel Schmidgall, Axel Krieger, Jason Eshraghian, Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots. ICRA, 13354-13361, 2024.

• Skye Gunasekaran, Jason Eshraghian, Ruomin Zhu, Zdenka Kuncic, Knowledge Distillation Through Time For Future Event Prediction. Tiny Papers @ ICLR, 2024.

• Yuxuan Zhang, Nathan Sobotka, Soyoon Park, Saba Jamilan, Tanvir Ahmed Khan, Baris Kasikci, Gilles A. Pokam, Heiner Litz, Joseph Devietti, RPG ASPLOS (2), 999-1013, 2024.

• Adam Hess-Dunlop, Harshitha Kakani, Colleen Josephson, Towards Deep Learning for Predicting Microbial Fuel Cell Energy Output. COMPASS, 330-338, 2024.

• Xinning Hui, Yuanchao Xu 0001, Zhishan Guo, Xipeng Shen, ESG: Pipeline-Conscious Efficient Scheduling of DNN Workflows on Serverless Platforms with Shareable GPUs. HPDC, 42-55, 2024.

• Yimeng Shan, Malu Zhang, Rui-Jie Zhu, Xuerui Qiu, Jason K. Eshraghian, Haicheng Qu, Advancing Spiking Neural Networks towards Multiscale Spatiotemporal Interaction Learning. CoRR abs/2405.13672, 2024.

• Adam Korycki, Colleen Josephson, Steve McGuire, Evaluating geometric accuracy of NeRF reconstructions compared to SLAM method. CoRR abs/2407.11238, 2024.

• Colin Drewes, Olivia Weng, Andres Meza 0001, Alric Althoff, David Kohlbrenner, Ryan Kastner, Dustin Richmond, Pentimento: Data Remanence in Cloud FPGAs. ASPLOS (2), 862-878, 2024.

• Rui-Jie Zhu, Skye Gunasekaran, Jason Eshraghian, Bridging the gap between artificial intelligence and natural intelligence. Nat. Comput. Sci. 4(8), 559-560, 2024.

• Samuel Schmidgall, Carl Harris, Ime Essien, Daniel Olshvang, Tawsifur Rahman, Ji Woong Kim, Rojin Ziaei, Jason Eshraghian, Peter Abadir, Rama Chellappa, Addressing cognitive bias in medical language models. CoRR abs/2402.08113, 2024.

2023

• Ziyu Wang, Yuting Wu, Yongmo Park, Sangmin Yoo, Xinxin Wang, Jason K. Eshraghian, Wei D. Lu, PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators. Adv. Intell. Syst. 5(12), 2023.

• Rui-Jie Zhu, Qihang Zhao, Jason K. Eshraghian, SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks. CoRR abs/2302.13939, 2023.

• Yikai Yang, Jason K. Eshraghian, Nhan Duy Truong, Armin Nikpour, Omid Kavehei, Neuromorphic deep spiking neural networks for seizure detection. Neuromorph. Comput. Eng. 3(1), 14010, 2023.

• Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu 0001, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr 0001, Konstantinos P. Michmizos 0001, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi, NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640, 2023.

• Yi Liu, Shouqian Shi, Minghao Xie, Heiner Litz, Chen Qian 0001, Smash: Flexible, Fast, and Resource-efficient Placement and Lookup of Distributed Storage. Proc. ACM Meas. Anal. Comput. Syst. 7(2), 33:1-33:22, 2023.

• Jason K. Eshraghian, Arindam Basu, Corey Lammie, Shih-Chii Liu, Priyadarshini Panda, Guest Editorial Dynamical Neuro-AI Learning Systems: Devices, Circuits, Architecture and Algorithms. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4), 873-876, 2023.

• Fabrizio Ottati, Chang Gao 0002, Qinyu Chen, Giovanni Brignone, Mario R. Casu, Jason K. Eshraghian, Luciano Lavagno, To Spike or Not To Spike: A Digital Hardware Perspective on Deep Learning Acceleration. CoRR abs/2306.15749, 2023.

• Chencheng Ye, Yuanchao Xu 0001, Xipeng Shen, Yan Sha, Xiaofei Liao, Hai Jin 0001, Yan Solihin, Reconciling Selective Logging and Hardware Persistent Memory Transaction. HPCA, 664-676, 2023.

• Yi Liu, Shouqian Shi, Minghao Xie, Heiner Litz, Chen Qian 0001, Smash: Flexible, Fast, and Resource-efficient Placement and Lookup of Distributed Storage. SIGMETRICS (Abstracts), 19-20, 2023.

• Fabrizio Ottati, Chang Gao 0002, Qinyu Chen, Giovanni Brignone, Mario R. Casu, Jason K. Eshraghian, Luciano Lavagno, To Spike or Not to Spike: A Digital Hardware Perspective on Deep Learning Acceleration. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4), 1015-1025, 2023.

• Sami Barchid, José Mennesson, Jason Eshraghian, Chaabane Djeraba, Mohammed Bennamoun, Spiking neural networks for frame-based and event-based single object localization. Neurocomputing 559, 126805, 2023.

• Bill Yen, Laura Jaliff, Louis Gutierrez, Philothei Sahinidis, Sadie Bernstein, John Madden, Stephen Taylor, Colleen Josephson, Pat Pannuto, Weitao Shuai, George Wells, Nivedita Arora, Josiah D. Hester, Soil-Powered Computing: The Engineer’s Guide to Practical Soil Microbial Fuel Cell Design. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(4), 196:1-196:40, 2023.

• Yanwen Xu, Ang Li 0011, Tyler Sorensen 0001, Redwood: Flexible and Portable Heterogeneous Tree Traversal Workloads. ISPASS, 201-213, 2023.

• Diptyaroop Maji, Ben Pfaff, Vipin P. R, Rajagopal Sreenivasan, Victor Firoiu, Sreeram Iyer, Colleen Josephson, Zhelong Pan, Ramesh K. Sitaraman, Bringing Carbon Awareness to Multi-cloud Application Delivery. HotCarbon, 6:1-6:6, 2023.

• Yuxuan Zhang, Tanvir Ahmed Khan, Gilles Pokam, Baris Kasikci, Heiner Litz, Joseph Devietti, Online Code Layout Optimizations via OCOLOS. IEEE Micro 43(4), 71-79, 2023.

• Haoyuan Wang, Scott Beamer, RepCut: Superlinear Parallel RTL Simulation with Replication-Aided Partitioning. ASPLOS (3), 572-585, 2023.

• Jesse Cirimelli-Low, Muhammad Hadir Khan, Samuel Crow, Amogh Lonkar, Bugra Onal, Andrew D. Zonenberg, Matthew R. Guthaus, SRAM Design with OpenRAM in SkyWater 130nm. ISCAS, 1-5, 2023.

• Yinsong Chen, Samson S. Yu, Jason K. Eshraghian, Chee Peng Lim, Multi-Objective Spiking Neural Network for Optimal Wind Power Prediction Interval. ISCAS, 1-5, 2023.

• Jens E. Pedersen, Steven Abreu, Matthias Jobst, Gregor Lenz, Vittorio Fra, Felix Christian Bauer, Dylan R. Muir, Peng Zhou, Bernhard Vogginger, Kade Heckel, Gianvito Urgese, Sadasivan Shankar, Terrence C. Stewart, Jason K. Eshraghian, Sadique Sheik, Neuromorphic Intermediate Representation: A Unified Instruction Set for Interoperable Brain-Inspired Computing. CoRR abs/2311.14641, 2023.

• Lin Cheng, Max Ruttenberg, Dai Cheol Jung, Dustin Richmond, Michael B. Taylor, Mark Oskin, Christopher Batten, Beyond Static Parallel Loops: Supporting Dynamic Task Parallelism on Manycore Architectures with Software-Managed Scratchpad Memories. ASPLOS (3), 46-58, 2023.

• Farhad Modaresi, Matthew Guthaus, Jason K. Eshraghian, OpenSpike: An OpenRAM SNN Accelerator. CoRR abs/2302.01015, 2023.

• Ziyao Zhang, Zhangyu Xu, Helen M. McGuire, Chip Essam, Andrew P. Nicholson, Tara J. Hamilton, Jiayin Li, Jason K. Eshraghian, Ken-Tye Yong, Daniele Vigolo, Omid Kavehei, Neuromorphic cytometry: implementation on cell counting and size estimation. Neuromorph. Comput. Eng. 3(4), 44005, 2023.

• Colin Drewes, Olivia Weng, Keegan Ryan, Bill Hunter, Christopher McCarty, Ryan Kastner, Dustin Richmond, Turn on, Tune in, Listen up: Maximizing Side-Channel Recovery in Time-to-Digital Converters. FPGA, 111-122, 2023.

• Xiao-Jing Li, Xiaoyuan Wang, Pu Li, Herbert H. C. Iu, Jason K. Eshraghian, Sanjoy Kumar Nandi, Shimul Kanti Nath, Robert Glen Elliman, Tri-State Memristors Based on Composable Discrete Devices. Int. J. Bifurc. Chaos 33(7), 2330018:1-2330018:18, 2023.

• Lokesh N. Jaliminche, Chandranil Nil Chakraborttii, Changho Choi, Heiner Litz, Enabling Multi-tenancy on SSDs with Accurate IO Interference Modeling. SoCC, 216-232, 2023.

• Juan Lu, Jonathon Stewart, Mohammed Bennamoun, Adrian Goudie, Jason Eshraghian, Abdul Ihdayhid, Frank M. Sanfilippo, Gary R. Small, Benjamin J. W. Chow, Girish Dwivedi, Deep learning model to predict exercise stress test results: Optimizing the diagnostic test selection strategy and reduce wastage in suspected coronary artery disease patients. Comput. Methods Programs Biomed. 240, 107717, 2023.

• Ziyu Wang, Yuting Wu, Yongmo Park, Sangmin Yoo, Xinxin Wang, Jason K. Eshraghian, Wei D. Lu, PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators. CoRR abs/2304.11056, 2023.

• Jason K. Eshraghian, Max Ward 0001, Emre O. Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu, Training Spiking Neural Networks Using Lessons From Deep Learning. Proc. IEEE 111(9), 1016-1054, 2023.

• Sanya Srivastava, Tyler Sorensen 0001, Degree-Aware Kernel Mapping for Graph Processing on GPUs. ISPASS, 319-321, 2023.

• Reese Levine, Mingun Cho, Devon McKee, Andrew Quinn 0001, Tyler Sorensen 0001, GPUHarbor: Testing GPU Memory Consistency at Large (Experience Paper). ISSTA, 779-791, 2023.

• Juan Lu, Mohammed Bennamoun, Jonathon Stewart, Jason Kamran Eshraghian, Yanbin Liu, Benjamin J. W. Chow, Frank M. Sanfilippo, Girish Dwivedi, Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients. CoRR abs/2309.00330, 2023.

• Samuel Schmidgall, Axel Krieger, Jason Eshraghian, Surgical Gym: A high-performance GPU-based platform for reinforcement learning with surgical robots. CoRR abs/2310.04676, 2023.

• Reese Levine, Tianhao Guo, Mingun Cho, Alan Baker, Raph Levien, David Neto, Andrew Quinn 0001, Tyler Sorensen 0001, MC Mutants: Evaluating and Improving Testing for Memory Consistency Specifications. ASPLOS (2), 473-488, 2023.

• Samuel Schmidgall, Jascha Achterberg, Thomas Miconi, Louis Kirsch, Rojin Ziaei, S. Pardis Hajiseyedrazi, Jason Eshraghian, Brain-inspired learning in artificial neural networks: a review. CoRR abs/2305.11252, 2023.

• Colin Drewes, Olivia Weng, Andres Meza 0001, Alric Althoff, David Kohlbrenner, Ryan Kastner, Dustin Richmond, Pentimento: Data Remanence in Cloud FPGAs. CoRR abs/2303.17881, 2023.

• Tim Zhang, Amirali Amirsoleimani, Jason K. Eshraghian, Mostafa Rahimi Azghadi, Roman Genov, Yu Xia 0002, SSCAE: A Neuromorphic SNN Autoencoder for sc-RNA-seq Dimensionality Reduction. ISCAS, 1-5, 2023.

• Chencheng Ye, Yuanchao Xu 0001, Xipeng Shen, Yan Sha, Xiaofei Liao, Hai Jin 0001, Yan Solihin, SpecPMT: Speculative Logging for Resolving Crash Consistency Overhead of Persistent Memory. ASPLOS (2), 762-777, 2023.

• Peng Zhou, Dong-Uk Choi, Sung-Mo Kang 0001, Jason K. Eshraghian, Backpropagating Errors Through Memristive Spiking Neural Networks. ISCAS, 1-5, 2023.

• Yuanjiang Ni, Pankaj Mehra, Ethan L. Miller, Heiner Litz, TMC: Near-Optimal Resource Allocation for Tiered-Memory Systems. SoCC, 376-393, 2023.

• Ruomin Zhu, Jason Eshraghian, Zdenka Kuncic, Memristive Reservoirs Learn to Learn. ICONS, 31:1-31:7, 2023.

• Ahmet Samil Demirkol, Alon Ascoli, Ronald Tetzlaff, Jason K. Eshraghian, Sung Mo Kang 0001, A Qualitative Approach for the Design of a Locally Active Memristor Based Neuron Circuit. ICECS, 1-4, 2023.

• Luis Fernando Herbozo Contreras, Nhan Duy Truong, Jason K. Eshraghian, Zhangyu Xu, Zhaojing Huang, Armin Nikpour, Omid Kavehei, Neuromorphic Neuromodulation: Towards the next generation of on-device AI-revolution in electroceuticals. CoRR abs/2307.12471, 2023.

• Ruomin Zhu, Jason K. Eshraghian, Zdenka Kuncic, Memristive Reservoirs Learn to Learn. CoRR abs/2306.12676, 2023.

• Ya Li, Jing-Hao Luo, Qing-Yun Dai, Jason K. Eshraghian, Bingo Wing-Kuen Ling, Ciyan Zheng, Xiao-Li Wang, A deep learning approach to cardiovascular disease classification using empirical mode decomposition for ECG feature extraction. Biomed. Signal Process. Control. 79(Part), 104188, 2023.

• Farhad Modaresi, Matthew Guthaus, Jason K. Eshraghian, OpenSpike: An OpenRAM SNN Accelerator. ISCAS, 1-5, 2023.

• Sheng-Hong Wang, Hunter James Coffman, Kenneth Mayer, Sakshi Garg 0002, Jose Renau, A Multi-threaded Fast Hardware Compiler for HDLs. CC, 25-36, 2023.

2022

• Ziyao Zhang, Maria Sabrina Ma, Jason Kamran Eshraghian, Daniele Vigolo, Ken-Tye Yong, Omid Kavehei, Work in Progress: Neuromorphic Cytometry, High-throughput Event-based flow Flow-Imaging. EBCCSP, 1-5, 2022.

• Jason Kamran Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu, Navigating Local Minima in Quantized Spiking Neural Networks. AICAS, 352-355, 2022.

• Peng Zhou, Dong-Uk Choi, Jason Kamran Eshraghian, Sung-Mo Kang 0001, A Fully Memristive Spiking Neural Network with Unsupervised Learning. ISCAS, 634-638, 2022.

• Xiaoyuan Wang, Chuan-Tao Dong, Pengfei Zhou, Sanjoy Kumar Nandi, Shimul Kanti Nath, Robert Glen Elliman, Herbert Ho-Ching Iu, Sung-Mo Steve Kang 0001, Jason Kamran Eshraghian, Low-Variance Memristor-Based Multi-Level Ternary Combinational Logic. IEEE Trans. Circuits Syst. I Regul. Pap. 69(6), 2423-2434, 2022.

• Yuxuan Zhang, Tanvir Ahmed Khan, Gilles Pokam, Baris Kasikci, Heiner Litz, Joseph Devietti, OCOLOS: Online COde Layout OptimizationS. MICRO, 530-545, 2022.

• Heiner Litz, Javier Gonzalez, Ana Klimovic, Christos Kozyrakis, RAIL: Predictable, Low Tail Latency for NVMe Flash. ACM Trans. Storage 18(1), 5:1-5:21, 2022.

• Shixin Song, Tanvir Ahmed Khan, Sara Mahdizadeh-Shahri, Akshitha Sriraman, Niranjan K. Soundararajan, Sreenivas Subramoney, Daniel A. Jiménez, Heiner Litz, Baris Kasikci, Thermometer: profile-guided btb replacement for data center applications. ISCA, 742-756, 2022.

• Xiaoyuan Wang, Zhiru Wu, Pengfei Zhou, Herbert Ho-Ching Iu, Sung-Mo Steve Kang 0001, Jason Kamran Eshraghian, FPGA Synthesis of Ternary Memristor-CMOS Decoders for Active Matrix Microdisplays. IEEE Trans. Circuits Syst. I Regul. Pap. 69(9), 3501-3511, 2022.

• Lin Cheng, Peitian Pan, Zhongyuan Zhao 0004, Krithik Ranjan, Jack Weber, Bandhav Veluri, Seyed Borna Ehsani, Max Ruttenberg, Dai Cheol Jung, Preslav Ivanov, Dustin Richmond, Michael B. Taylor, Zhiru Zhang, Christopher Batten, A Tensor Processing Framework for CPU-Manycore Heterogeneous Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(6), 1620-1635, 2022.

• Jason Kamran Eshraghian, Wei D. Lu, The fine line between dead neurons and sparsity in binarized spiking neural networks. CoRR abs/2201.11915, 2022.

• Yuanchao Xu 0001, Chencheng Ye, Yan Solihin, Xipeng Shen, FFCCD: fence-free crash-consistent concurrent defragmentation for persistent memory. ISCA, 274-288, 2022.

• Yuanchao Xu 0001, Chencheng Ye, Xipeng Shen, Yan Solihin, Temporal Exposure Reduction Protection for Persistent Memory. HPCA, 908-924, 2022.

• Heiner Litz, Grant Ayers, Parthasarathy Ranganathan, CRISP: critical slice prefetching. ASPLOS, 300-313, 2022.

• Chencheng Ye, Yuanchao Xu 0001, Xipeng Shen, Hai Jin 0001, Xiaofei Liao, Yan Solihin, Preserving Addressability Upon GC-Triggered Data Movements on Non-Volatile Memory. ACM Trans. Archit. Code Optim. 19(2), 28:1-28:26, 2022.

• Tanvir Ahmed Khan, Muhammed Ugur, Krishnendra Nathella, Dam Sunwoo, Heiner Litz, Daniel A. Jiménez, Baris Kasikci, Whisper: Profile-Guided Branch Misprediction Elimination for Data Center Applications. MICRO, 19-34, 2022.

• Ziyu Wang, Fan-Hsuan Meng, Yongmo Park, Jason Kamran Eshraghian, Wei D. Lu, Side-channel attack analysis on in-memory computing architectures. CoRR abs/2209.02792, 2022.

• Corey Lammie, Jason Kamran Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi, Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. CoRR abs/2201.06703, 2022.

• Sami Barchid, José Mennesson, Jason Eshraghian, Chaabane Djeraba, Mohammed Bennamoun, Spiking Neural Networks for Frame-based and Event-based Single Object Localization. CoRR abs/2206.06506, 2022.

• Pu Li, Xiaoyuan Wang, Xue Zhang, Jason Kamran Eshraghian, Herbert Ho-Ching Lu, Spice modelling of a tri-state memristor and analysis of its series and parallel characteristics. IET Circuits Devices Syst. 16(1), 81-91, 2022.

• Yikai Yang, Nhan Duy Truong, Jason Kamran Eshraghian, Christina Maher, Armin Nikpour, Omid Kavehei, A Multimodal AI System for Out-of-Distribution Generalization of Seizure Identification. IEEE J. Biomed. Health Informatics 26(7), 3529-3538, 2022.

• Peng Zhou, Jason Kamran Eshraghian, Dong-Uk Choi, Wei D. Lu, Sung-Mo Kang 0001, Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays. CoRR abs/2206.12992, 2022.

• Colleen Josephson, Weitao Shuai, Gabriel Marcano, Pat Pannuto, Josiah D. Hester, George Wells, The Future of Clean Computing May Be Dirty. GetMobile Mob. Comput. Commun. 26(3), 9-15, 2022.

• John Madden, Gabriel Marcano, Stephen Taylor, Pat Pannuto, Colleen Josephson, Hardware to Enable Large-Scale Deployment and Observation of Soil Microbial Fuel Cells. SenSys, 906-912, 2022.

• Corey Lammie, Jason Kamran Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi, Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures. ISCAS, 1107-1111, 2022.

• Jason Kamran Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Wei D. Lu, Navigating Local Minima in Quantized Spiking Neural Networks. CoRR abs/2202.07221, 2022.

• Ciyan Zheng, Long Peng, Jason K. Eshraghian, Xiao-Li Wang, Jian Cen, Herbert Ho-Ching Iu, Spiking Neuron Implementation Using a Novel Floating Memcapacitor Emulator. Int. J. Bifurc. Chaos 32(15), 2250224:1-2250224:17, 2022.

• Peng Zhou, Jason Kamran Eshraghian, Dong-Uk Choi, Sung-Mo Kang 0001, SPICEprop: Backpropagating Errors Through Memristive Spiking Neural Networks. CoRR abs/2203.01426, 2022.

• Devashish R. Purandare, Peter Wilcox, Heiner Litz, Shel Finkelstein, Append is Near: Log-based Data Management on ZNS SSDs. CIDR, 2022.

• Hsin-Hsuan Sung, Yuanchao Xu 0001, Jiexiong Guan, Wei Niu 0002, Bin Ren, Yanzhi Wang, Shaoshan Liu, Xipeng Shen, Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card. RTAS, 297-300, 2022.

• Gabriel Marcano, Colleen Josephson, Pat Pannuto, Early Characterization of Soil Microbial Fuel Cells. ISCAS, 1362-1366, 2022.

• Pao-Sheng Vincent Sun, Alexander Titterton, Anjlee Gopiani, Tim Santos, Arindam Basu, Wei D. Lu, Jason Kamran Eshraghian, Intelligence Processing Units Accelerate Neuromorphic Learning. CoRR abs/2211.10725, 2022.

• Saba Jamilan, Tanvir Ahmed Khan, Grant Ayers, Baris Kasikci, Heiner Litz, APT-GET: profile-guided EuroSys, 747-764, 2022.

• Alexander Henkes, Jason K. Eshraghian, Henning Wessels, Spiking neural networks for nonlinear regression. CoRR abs/2210.03515, 2022.

• Mohammed E. Elbtity, Peyton Chandarana, Brendan Reidy, Jason Kamran Eshraghian, Ramtin Zand, APTPU: Approximate Computing Based Tensor Processing Unit. IEEE Trans. Circuits Syst. I Regul. Pap. 69(12), 5135-5146, 2022.

• Peng Zhou, Donguk Choi, Jason Kamran Eshraghian, Sung-Mo Kang 0001, A Fully Memristive Spiking Neural Network with Unsupervised Learning. CoRR abs/2203.01416, 2022.

• Peng Zhou, Dong-Uk Choi, Wei D. Lu, Sung-Mo Steve Kang 0001, Jason Kamran Eshraghian, Gradient-Based Neuromorphic Learning on Dynamical RRAM Arrays. IEEE J. Emerg. Sel. Topics Circuits Syst. 12(4), 888-897, 2022.

2021

• Jason Kamran Eshraghian, Kyoungrok Cho, Sung Mo Kang 0001, CrossStack: A 3-D Reconfigurable RRAM Crossbar Inference Engine. CoRR abs/2102.06536, 2021.

• Xiaoyuan Wang, Pengfei Zhou, Jason Kamran Eshraghian, Chih-Yang Lin, Herbert Ho-Ching Iu, Ting-Chang Chang, Sung-Mo Steve Kang 0001, High-Density Memristor-CMOS Ternary Logic Family. IEEE Trans. Circuits Syst. I Regul. Pap. 68(1), 264-274, 2021.

• Yuanchao Xu 0001, Mehmet Esat Belviranli, Xipeng Shen, Jeffrey S. Vetter, PCCS: Processor-Centric Contention-aware Slowdown Model for Heterogeneous System-on-Chips. MICRO, 1282-1295, 2021.

• Niranjan K. Soundararajan, Peter Braun 0005, Tanvir Ahmed Khan, Baris Kasikci, Heiner Litz, Sreenivas Subramoney, PDede: Partitioned, Deduplicated, Delta Branch Target Buffer. MICRO, 779-791, 2021.

• Saeed Kargar, Heiner Litz, Faisal Nawab, Predict and Write: Using K-Means Clustering to Extend the Lifetime of NVM Storage. ICDE, 768-779, 2021.

• Corey Lammie, Jason Kamran Eshraghian, Wei D. Lu, Mostafa Rahimi Azghadi, Memristive Stochastic Computing for Deep Learning Parameter Optimization. IEEE Trans. Circuits Syst. II Express Briefs 68(5), 1650-1654, 2021.

• David R. Ditzel, Roger Espasa, Nivard Aymerich, Allen Baum, Tom Berg, Jim Burr, Eric Hao, Jayesh Iyer, Miquel Izquierdo, Shankar Jayaratnam, Darren Jones, Chris Klingner, Jin Kim, Stephen Lee, Marc Lupon, Grigorios Magklis, Bojan Maric, Rajib Nath, Mike Neilly, J. Duane Northcutt, Bill Orner, Jose Renau, Gerard Reves, Xavier Reves, Tom Riordan, Pedro Sanchez, Sridhar Samudrala, Guillem Sole, Raymond Tang, Tommy Thorn, Francisco Torres, Sebastia Tortella, Daniel Yau, Accelerating ML Recommendation with over a Thousand RISC-V/Tensor Processors on Esperanto’s ET-SoC-1 Chip. HCS, 1-23, 2021.

• Mustafa S. Gobulukoglu, Colin Drewes, Bill Hunter, Dustin Richmond, Ryan Kastner, Classifying Computations on Multi-Tenant FPGAs. FPGA, 227, 2021.

• Ajay Brahmakshatriya, Emily Furst, Victor A. Ying, Claire Hsu, Changwan Hong, Max Ruttenberg, Yunming Zhang, Dai Cheol Jung, Dustin Richmond, Michael B. Taylor, Julian Shun, Mark Oskin, Daniel Sánchez 0003, Saman P. Amarasinghe, Taming the Zoo: The Unified GraphIt Compiler Framework for Novel Architectures. ISCA, 429-442, 2021.

• Hui Guan 0001, Umana Chaudhary, Yuanchao Xu 0001, Lin Ning 0001, Lijun Zhang, Xipeng Shen, Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone. ICDM, 1078-1083, 2021.

• Dan Iorga, Alastair F. Donaldson, Tyler Sorensen 0001, John Wickerson, The semantics of shared memory in Intel CPU/FPGA systems. Proc. ACM Program. Lang. 5(OOPSLA), 1-28, 2021.

• Seungbum Baek, Guk-Hyeon Yu, Jaewoo Kim, Chi Trung Ngo, Jason Kamran Eshraghian, Jong-Phil Hong, A Reconfigurable SRAM Based CMOS PUF With Challenge to Response Pairs. IEEE Access 9, 79947-79960, 2021.

• Chencheng Ye, Yuanchao Xu 0001, Xipeng Shen, Xiaofei Liao, Hai Jin 0001, Yan Solihin, Hardware-Based Address-Centric Acceleration of Key-Value Store. HPCA, 736-748, 2021.

• Sung-Mo Steve Kang 0001, Donguk Choi, Jason Kamran Eshraghian, Peng Zhou, Jieun Kim, Bai-Sun Kong, Xiaojian Zhu, Ahmet Samil Demirkol, Alon Ascoli, Ronald Tetzlaff, Wei D. Lu, Leon O. Chua, How to Build a Memristive Integrate-and-Fire Model for Spiking Neuronal Signal Generation. IEEE Trans. Circuits Syst. I Regul. Pap. 68(12), 4837-4850, 2021.

• Tyler Sorensen 0001, Lucas F. Salvador, Harmit Raval, Hugues Evrard, John Wickerson, Margaret Martonosi, Alastair F. Donaldson, Specifying and Testing GPU Workgroup Progress Models. CoRR abs/2109.06132, 2021.

• Peter Wilcox, Heiner Litz, Design for computational storage simulation platform. CHEOPS@EuroSys, 5:1-5:8, 2021.

• Naveed Ul Mustafa, Yuanchao Xu 0001, Xipeng Shen, Yan Solihin, Seeds of SEED: New Security Challenges for Persistent Memory. SEED, 83-88, 2021.

• Corey Lammie, Jason Kamran Eshraghian, Wei D. Lu, Mostafa Rahimi Azghadi, Memristive Stochastic Computing for Deep Learning Parameter Optimization. CoRR abs/2103.06506, 2021.

• Jason Kamran Eshraghian, Max Ward 0001, Emre Neftci, Xinxin Wang, Gregor Lenz, Girish Dwivedi, Mohammed Bennamoun, Doo Seok Jeong, Wei D. Lu, Training Spiking Neural Networks Using Lessons From Deep Learning. CoRR abs/2109.12894, 2021.

• Tanvir Ahmed Khan, Nathan Brown, Akshitha Sriraman, Niranjan K. Soundararajan, Rakesh Kumar 0003, Joseph Devietti, Sreenivas Subramoney, Gilles A. Pokam, Heiner Litz, Baris Kasikci, Twig: Profile-Guided BTB Prefetching for Data Center Applications. MICRO, 816-829, 2021.

• Colin Drewes, Steven Harris, Winnie Wang, Richard Appen, Olivia Weng, Ryan Kastner, William Hunter, Christopher McCarty, Dustin Richmond, A Tunable Dual-Edge Time-to-Digital Converter. FCCM, 253, 2021.

• Chencheng Ye, Yuanchao Xu 0001, Xipeng Shen, Xiaofei Liao, Hai Jin 0001, Yan Solihin, Supporting Legacy Libraries on Non-Volatile Memory: A User-Transparent Approach. ISCA, 443-455, 2021.

• Nursultan Kabylkas, Tommy Thorn, Shreesha Srinath, Polychronis Xekalakis, Jose Renau, Effective Processor Verification with Logic Fuzzer Enhanced Co-simulation. MICRO, 667-678, 2021.

• Anna Jobin, Kingson Man, Antonio Damasio, Georgios Kaissis, Rickmer Braren, Julia Stoyanovich, Jay J. Van Bavel, Tessa V. West, Brent D. Mittelstadt 0002, Jason Eshraghian, Marta R. Costa-jussà, Asaf Tzachor, Aimun A. B. Jamjoom, Mariarosaria Taddeo, Edoardo Sinibaldi, Yipeng Hu, Miguel A. Luengo-Oroz, AI reflections in 2020. Nat. Mach. Intell. 3(1), 2-8, 2021.

• Mustafa S. Gobulukoglu, Colin Drewes, William Hunter, Ryan Kastner, Dustin Richmond, Classifying Computations on Multi-Tenant FPGAs. DAC, 1261-1266, 2021.

• Jason Kamran Eshraghian, Kyoungrok Cho, Sung Mo Kang 0001, A 3-D Reconfigurable RRAM Crossbar Inference Engine. ISCAS, 1-5, 2021.

• Chandranil Chakraborttii, Heiner Litz, Reducing write amplification in flash by death-time prediction of logical block addresses. SYSTOR, 11:1-11:12, 2021.

• Colleen Josephson, Low-cost In-ground Soil Moisture Sensing with Radar Backscatter Tags. COMPASS, 299-311, 2021.

• Guoqiang Zhang, Yuanchao Xu 0001, Xipeng Shen, Isil Dillig, UDF to SQL translation through compositional lazy inductive synthesis. Proc. ACM Program. Lang. 5(OOPSLA), 1-26, 2021.

• Xiaoyuan Wang, Zhiru Wu, Pengfei Zhou, Herbert H. C. Iu, Jason Kamran Eshraghian, Sung Mo Kang 0001, FPGA Synthesis of Ternary Memristor-CMOS Decoders. CoRR abs/2104.10297, 2021.

• Seongwon You, Jason Kamran Eshraghian, Herbert H. C. Iu, Kyoungrok Cho, Low-Power Wireless Sensor Network Using Fine-Grain Control of Sensor Module Power Mode. Sensors 21(9), 3198, 2021.

• Aninda Manocha, Tyler Sorensen 0001, Esin Tureci, Opeoluwa Matthews, Juan L. Aragón, Margaret Martonosi, GraphAttack: Optimizing Data Supply for Graph Applications on In-Order Multicore Architectures. ACM Trans. Archit. Code Optim. 18(4), 53:1-53:26, 2021.

• Coen Arrow, Hancong Wu, Seungbum Baek, Herbert H. C. Iu, Kianoush Nazarpour, Jason Kamran Eshraghian, Prosthesis Control Using Spike Rate Coding in the Retina Photoreceptor Cells. ISCAS, 1-5, 2021.

• Hsin-Hsuan Sung, Yuanchao Xu 0001, Jiexiong Guan, Wei Niu 0002, Shaoshan Liu, Bin Ren, Yanzhi Wang, Xipeng Shen, Enabling Level-4 Autonomous Driving on a Single 1 Off-the-Shelf Card. CoRR abs/2110.06373, 2021.

• Dennis Robey, Wesley Thio, Herbert H. C. Iu, Jason Kamran Eshraghian, Naturalizing Neuromorphic Vision Event Streams Using GANs. CoRR abs/2102.07243, 2021.

• Tyler Sorensen 0001, Lucas F. Salvador, Harmit Raval, Hugues Evrard, John Wickerson, Margaret Martonosi, Alastair F. Donaldson, Specifying and testing GPU workgroup progress models. Proc. ACM Program. Lang. 5(OOPSLA), 1-30, 2021.

• Tanvir Ahmed Khan, Dexin Zhang, Akshitha Sriraman, Joseph Devietti, Gilles Pokam, Heiner Litz, Baris Kasikci, Ripple: Profile-Guided Instruction Cache Replacement for Data Center Applications. ISCA, 734-747, 2021.

• Xiaoyuan Wang, Chenxi Jin, Jason Kamran Eshraghian, Herbert Ho-Ching Iu, Congying Ha, A Behavioral SPICE Model of a Binarized Memristor for Digital Logic Implementation. Circuits Syst. Signal Process. 40(6), 2682-2693, 2021.

• Amogh Lonkar, Scott Beamer, Accelerating Clique Counting in Sparse Real-World Graphs via Communication-Reducing Optimizations. CoRR abs/2112.10913, 2021.

• Dennis E. Robey, Wesley Thio, Herbert H. C. Iu, Jason Kamran Eshraghian, Naturalizing Neuromorphic Vision Event Streams Using Generative Adversarial Networks. ISCAS, 1-5, 2021.

2020

• Opeoluwa Matthews, Aninda Manocha, Davide Giri, Marcelo Orenes-Vera, Esin Tureci, Tyler Sorensen 0001, Tae Jun Ham, Juan L. Aragón, Luca P. Carloni, Margaret Martonosi, The MosaicSim Simulator (Full Technical Report). CoRR abs/2004.07415, 2020.

• Michael Bedford Taylor, Luis Vega, Moein Khazraee, Ikuo Magaki, Scott Davidson 0004, Dustin Richmond, ASIC clouds: specializing the datacenter for planet-scale applications. Commun. ACM 63(7), 103-109, 2020.

• Jason Kamran Eshraghian, Human ownership of artificial creativity. Nat. Mach. Intell. 2(3), 157-160, 2020.

• Tanvir Ahmed Khan, Akshitha Sriraman, Joseph Devietti, Gilles Pokam, Heiner Litz, Baris Kasikci, I-SPY: Context-Driven Conditional Instruction Prefetching with Coalescing. MICRO, 146-159, 2020.

• Mostafa Rahimi Azghadi, Corey Lammie, Jason Kamran Eshraghian, Melika Payvand, Elisa Donati, Bernabé Linares-Barranco, Giacomo Indiveri, Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications. CoRR abs/2007.05657, 2020.

• Jason Kamran Eshraghian, Qi Lin, Xiaoyuan Wang, Herbert H. C. Iu, Qing Hu 0004, Hao Tong, A Behavioral Model of Digital Resistive Switching for Systems Level DNN Acceleration. IEEE Trans. Circuits Syst. II Express Briefs 67-II(5), 956-960, 2020.

• Seungbum Baek, Jason Kamran Eshraghian, Wesley Thio, Yulia Sandamirskaya, Herbert H. C. Iu, Wei D. Lu, Live Demonstration: Video-to-Spike Conversion Using a Real-Time Retina Cell Network Simulator. AICAS, 131, 2020.

• Mostafa Rahimi Azghadi, Ying-Chen Chen, Jason Kamran Eshraghian, Jia Chen, Chih-Yang Lin, Amirali Amirsoleimani, Adnan Mehonic, Anthony J. Kenyon, Burt Fowler, Jack C. Lee, Yao-Feng Chang, Complementary Metal-Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing. Adv. Intell. Syst. 2(5), 2070050, 2020.

• Colleen Josephson, Bradley Barnhart, Sachin Katti, Keith Winstein, Ranveer Chandra, Demo Abstract: RF Soil Moisture Sensing via Radar Backscatter Tags. IPSN, 365-366, 2020.

• Chandranil Chakraborttii, Heiner Litz, Improving the accuracy, adaptability, and interpretability of SSD failure prediction models. SoCC, 120-133, 2020.

• Ariful Azad, Mohsen Mahmoudi Aznaveh, Scott Beamer, Mark P. Blanco, Jinhao Chen, Luke D’Alessandro, Roshan Dathathri, Timothy A. Davis 0001, Kevin Deweese, Jesun Firoz, Henry A. Gabb, Gurbinder Gill, Bálint Hegyi, Scott P. Kolodziej, Tze Meng Low, Andrew Lumsdaine, Tugsbayasgalan Manlaibaatar, Timothy G. Mattson, Scott McMillan, Ramesh Peri, Keshav Pingali, Upasana Sridhar, Gábor Szárnyas, Yunming Zhang, Yongzhe Zhang, Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite. IISWC, 216-227, 2020.

• Jason Eshraghian, Corey Lammie, Mostafa Rahimi Azghadi, Biologically Plausible Contrast Detection using a Memristor Array. ISCAS, 1-5, 2020.

• Yuanchao Xu 0001, Yan Solihin, Xipeng Shen, MERR: Improving Security of Persistent Memory Objects via Efficient Memory Exposure Reduction and Randomization. ASPLOS, 987-1000, 2020.

• Scott Beamer, David Donofrio, Efficiently Exploiting Low Activity Factors to Accelerate RTL Simulation. DAC, 1-6, 2020.

• Nayana Prasad Nagendra, Grant Ayers, David I. August, Hyoun Kyu Cho, Svilen Kanev, Christos Kozyrakis, Trivikram Krishnamurthy, Heiner Litz, Tipp Moseley, Parthasarathy Ranganathan, AsmDB: Understanding and Mitigating Front-End Stalls in Warehouse-Scale Computers. IEEE Micro 40(3), 56-63, 2020.

• Mostafa Rahimi Azghadi, Corey Lammie, Jason Kamran Eshraghian, Melika Payvand, Elisa Donati, Bernabé Linares-Barranco, Giacomo Indiveri, Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications. IEEE Trans. Biomed. Circuits Syst. 14(6), 1138-1159, 2020.

• Sheng-Hong Wang, Rafael Trapani Possignolo, Haven Blake Skinner, Jose Renau, LiveHD: A Productive Live Hardware Development Flow. IEEE Micro 40(4), 67-75, 2020.

• Dai Cheol Jung, Scott Davidson 0004, Chun Zhao, Dustin Richmond, Michael Bedford Taylor, Ruche Networks: Wire-Maximal, No-Fuss NoCs : Special Session Paper. NOCS, 1-8, 2020.

• Mostafa Rahimi Azghadi, Ying-Chen Chen, Jason Kamran Eshraghian, Jia Chen, Chih-Yang Lin, Amirali Amirsoleimani, Adnan Mehonic, Anthony J. Kenyon, Burt Fowler, Jack C. Lee, Yao-Feng Chang, Complementary Metal-Oxide Semiconductor and Memristive Hardware for Neuromorphic Computing. Adv. Intell. Syst. 2(5), 1900189, 2020.

• Andrew R. Henson, Tim Fiori, Ahmud Auleear, Iain C. McIntyre, Jason Eshraghian, A Transcranial Alternating Current Stimulator for Neural Entrainment. ISCAS, 1-5, 2020.

• Akash Sridhar, Nursultan Kabylkas, Jose Renau, Load Driven Branch Predictor (LDBP). CoRR abs/2009.09064, 2020.

• Saeed Kargar, Heiner Litz, Faisal Nawab, Predict and Write: Using K-Means Clustering to Extend the Lifetime of NVM Storage. CoRR abs/2011.02556, 2020.

• Coen Arrow, Jason Kamran Eshraghian, Hancong Wu, Seungbum Baek, Herbert H. C. Iu, Kianoush Nazarpour, Live Demonstration: Prosthesis Control Using a Real-Time Retina Cell Network Simulator. ICECS, 1-2, 2020.

• Jason Kamran Eshraghian, Seungbum Baek, Timothée Levi, Takashi Kohno, Said F. Al-Sarawi, Philip H. W. Leong, Kyoung-Rok Cho, Derek Abbott, Omid Kavehei, Nonlinear retinal response modeling for future neuromorphic instrumentation. IEEE Instrum. Meas. Mag. 23(1), 21-29, 2020.

• Haven Blake Skinner, Rafael Trapani Possignolo, Sheng-Hong Wang, Jose Renau, LiveSim: A Fast Hot Reload Simulator for HDLs. ISPASS, 126-135, 2020.

• Seungbum Baek, Jason Kamran Eshraghian, Wesley Thio, Yulia Sandamirskaya, Herbert H. C. Iu, Wei D. Lu, A Real-Time Retinomorphic Simulator Using a Conductance-Based Discrete Neuronal Network. AICAS, 79-83, 2020.

• Opeoluwa Matthews, Aninda Manocha, Davide Giri, Marcelo Orenes-Vera, Esin Tureci, Tyler Sorensen 0001, Tae Jun Ham, Juan L. Aragón, Luca P. Carloni, Margaret Martonosi, MosaicSim: A Lightweight, Modular Simulator for Heterogeneous Systems. ISPASS, 136-148, 2020.

• Jake Kirkham, Tyler Sorensen 0001, Esin Tureci, Margaret Martonosi, Foundations of empirical memory consistency testing. Proc. ACM Program. Lang. 4(OOPSLA), 226:1-226:29, 2020.

• Dan Iorga, Tyler Sorensen 0001, John Wickerson, Alastair F. Donaldson, Slow and Steady: Measuring and Tuning Multicore Interference. RTAS, 200-212, 2020.

• Heiner Litz, Milad Hashemi, Machine Learning for Systems. IEEE Micro 40(5), 6-7, 2020.

• Grant Ayers, Heiner Litz, Christos Kozyrakis, Parthasarathy Ranganathan, Classifying Memory Access Patterns for Prefetching. ASPLOS, 513-526, 2020.

• Colleen Josephson, Bradley Barnhart, Keith Winstein, Sachin Katti, Ranveer Chandra, Time-of-Flight Soil Moisture Estimation Using RF Backscatter Tags. IGARSS, 5049-5052, 2020.

• Scott Beamer, A Case for Accelerating Software RTL Simulation. IEEE Micro 40(4), 112-119, 2020.

• Chandranil Chakraborttii, Heiner Litz, Learning I/O Access Patterns to Improve Prefetching in SSDs. ECML/PKDD (4), 427-443, 2020.

• Tyler Sorensen 0001, Aninda Manocha, Esin Tureci, Marcelo Orenes-Vera, Juan L. Aragón, Margaret Martonosi, A Simulator and Compiler Framework for Agile Hardware-Software Co-design Evaluation and Exploration. ICCAD, 97:1-97:9, 2020.

• Yuanchao Xu 0001, Chencheng Ye, Yan Solihin, Xipeng Shen, Hardware-Based Domain Virtualization for Intra-Process Isolation of Persistent Memory Objects. ISCA, 680-692, 2020.

• Daniel Petrisko, Chun Zhao, Scott Davidson 0004, Paul Gao 0001, Dustin Richmond, Michael Bedford Taylor, NoC Symbiosis : (Special Session Paper). NOCS, 1-8, 2020.

2019

• Daphne I. Gorman, Rafael Trapani Possignolo, Jose Renau, EMI Architectural Model and Core Hopping. MICRO, 899-910, 2019.

• Yuanjiang Ni, Jishen Zhao, Heiner Litz, Daniel Bittman, Ethan L. Miller, SSP: Eliminating Redundant Writes in Failure-Atomic NVRAMs via Shadow Sub-Paging. MICRO, 836-848, 2019.

• Ciyan Zheng, Dongsheng Yu, Herbert Ho-Ching Iu, Tyrone Fernando, Tingting Sun, Jason Kamran Eshraghian, Hengdao Guo, A Novel Universal Interface for Constructing Memory Elements for Circuit Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(12), 4793-4806, 2019.

• Jason Kamran Eshraghian, Sung-Mo Kang 0001, Seungbum Baek, Garrick Orchard, Herbert Ho-Ching Iu, Wen Lei, Analog Weights in ReRAM DNN Accelerators. AICAS, 267-271, 2019.

• Riadul Islam, Matthew R. Guthaus, HCDN: Hybrid-Mode Clock Distribution Networks. IEEE Trans. Circuits Syst. I Regul. Pap. 66-I(1), 251-262, 2019.

• Jaeheum Lee, Jason Kamran Eshraghian, Kyoung-Rok Cho, Kamran Eshraghian, Adaptive Precision CNN Accelerator Using Radix-X Parallel Connected Memristor Crossbars. CoRR abs/1906.09395, 2019.

• Grant Ayers, Nayana Prasad Nagendra, David I. August, Hyoun Kyu Cho, Svilen Kanev, Christos Kozyrakis, Trivikram Krishnamurthy, Heiner Litz, Tipp Moseley, Parthasarathy Ranganathan, AsmDB: understanding and mitigating front-end stalls in warehouse-scale computers. ISCA, 462-473, 2019.

• Austin Rovinski, Chun Zhao, Khalid Al-Hawaj, Paul Gao 0001, Shaolin Xie, Christopher Torng, Scott Davidson 0004, Aporva Amarnath, Luis Vega, Bandhav Veluri, Anuj Rao, Tutu Ajayi, Julian Puscar, Steve Dai, Ritchie Zhao, Dustin Richmond, Zhiru Zhang, Ian Galton, Christopher Batten, Michael B. Taylor, Ronald G. Dreslinski, A 1.4 GHz 695 Giga Risc-V Inst/s 496-Core Manycore Processor With Mesh On-Chip Network and an All-Digital Synthesized PLL in 16nm CMOS. VLSI Circuits, 30-, 2019.

• Bin Wu, Matthew R. Guthaus, Bottom-Up Approach for High Speed SRAM Word-line Buffer Insertion Optimization. VLSI-SoC, 305-310, 2019.

• Colleen Josephson, Lei Yang 0031, Pengyu Zhang, Sachin Katti, Wireless computer vision using commodity radios. IPSN, 229-240, 2019.

• Hunter Nichols, Michael Grimes, Jennifer Sowash, Jesse Cirimelli-Low, Matthew R. Guthaus, Automated Synthesis of Multi-Port Memories and Control. VLSI-SoC, 59-64, 2019.

• Seungbum Baek, Jason Kamran Eshraghian, Sang-Hyun Ahn, Alex James 0001, Kyoung-Rok Cho, A Memristor-CMOS Braun Multiplier Array for Arithmetic Pipelining. ICECS, 735-738, 2019.

• Tyler Sorensen 0001, Sreepathi Pai, Alastair F. Donaldson, Performance Evaluation of OpenCL Standard Support (and Beyond). IWOCL, 8:1-8:2, 2019.

• Bin Wu, James E. Stine, Matthew R. Guthaus, Fast and Area-Efficient SRAM Word-Line Optimization. ISCAS, 1-5, 2019.

• Nathan Chong, Tyler Sorensen 0001, John Wickerson, The Semantics of Transactions and Weak Memory in x86, Power, ARM, and C++. USENIX ATC, 2019.

• Tyler Sorensen 0001, Sreepathi Pai, Alastair F. Donaldson, One Size Doesn’t Fit All: Quantifying Performance Portability of Graph Applications on GPUs. IISWC, 155-166, 2019.

• Ciyan Zheng, Jason Kamran Eshraghian, Alex James 0001, Herbert Ho-Ching Iu, Chaotic Oscillator Using Coupled Memristive Pairs. ICECS, 462-465, 2019.

• Rafael Trapani Possignolo, Jose Renau, SMatch: Structural Matching for Fast Resynthesis in FPGAs. DAC, 75, 2019.

2018

• Dustin Richmond, Alric Althoff, Ryan Kastner, Synthesizable Higher-Order Functions for C++. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11), 2835-2844, 2018.

• Milad Hashemi, Kevin Swersky, Jamie A. Smith, Grant Ayers, Heiner Litz, Jichuan Chang, Christos Kozyrakis, Parthasarathy Ranganathan, Learning Memory Access Patterns. CoRR abs/1803.02329, 2018.

• Jason Kamran Eshraghian, Seungbum Baek, Jun-Ho Kim, Nicolangelo Iannella, Kyoung-Rok Cho, Yong-Sook Goo, Herbert H. C. Iu, Sung-Mo Kang 0001, Kamran Eshraghian, Formulation and Implementation of Nonlinear Integral Equations to Model Neural Dynamics Within the Vertebrate Retina. Int. J. Neural Syst. 28(7), 1850004:1-1850004:24, 2018.

• Brennan Cain, Zain Merchant, Indira Avendano, Dustin Richmond, Ryan Kastner, PynqCopter - An Open-source FPGA Overlay for UAVs. IEEE BigData, 2491-2498, 2018.

• Rafael Trapani Possignolo, Elnaz Ebrahimi 0001, Ehsan K. Ardestani, Alamelu Sankaranarayanan, José Luis Briz, Jose Renau, GPU NTC Process Variation Compensation With Voltage Stacking. IEEE Trans. Very Large Scale Integr. Syst. 26(9), 1713-1726, 2018.

• Nathan Chong, Tyler Sorensen 0001, John Wickerson, The semantics of transactions and weak memory in x86, Power, ARM, and C++. PLDI, 211-225, 2018.

• Ana Klimovic, Heiner Litz, Christos Kozyrakis, Selecta: Heterogeneous Cloud Storage Configuration for Data Analytics. USENIX ATC, 759-773, 2018.

• Samuel Grossman, Heiner Litz, Christos Kozyrakis, Making pull-based graph processing performant. PPoPP, 246-260, 2018.

• Jason Kamran Eshraghian, Kyoung-Rok Cho, Ciyan Zheng, Minho Nam, Herbert Ho-Ching Iu, Wen Lei, Kamran Eshraghian, Neuromorphic Vision Hybrid RRAM-CMOS Architecture. IEEE Trans. Very Large Scale Integr. Syst. 26(12), 2816-2829, 2018.

• Milad Hashemi, Kevin Swersky, Jamie A. Smith, Grant Ayers, Heiner Litz, Jichuan Chang, Christos Kozyrakis, Parthasarathy Ranganathan, Learning Memory Access Patterns. ICML, 1924-1933, 2018.

• Tyler Sorensen 0001, Hugues Evrard, Alastair F. Donaldson, GPU Schedulers: How Fair Is Fair Enough?. CONCUR, 23:1-23:17, 2018.

• Riadul Islam, Hany Ahmed Fahmy, Ping-Yao Lin, Matthew R. Guthaus, DCMCS: Highly Robust Low-Power Differential Current-Mode Clocking and Synthesis. IEEE Trans. Very Large Scale Integr. Syst. 26(10), 2108-2117, 2018.

• Dustin Richmond, Michael Barrow, Ryan Kastner, Everyone’s a Critic: A Tool for Exploring RISC-V Projects. FPL, 260-264, 2018.

• Chandranil Chakraborttii, Vikas Sinha, Heiner Litz, SSD QoS Improvements through Machine Learning. SoCC, 511, 2018.

• Shizhen Xu, Yuanchao Xu 0001, Wei Xue, Xipeng Shen, Fang Zheng, Xiaomeng Huang, Guangwen Yang, Taming the “Monster”: Overcoming Program Optimization Challenges on SW26010 Through Precise Performance Modeling. IPDPS, 763-773, 2018.

• Dan Iorga, Tyler Sorensen 0001, Alastair F. Donaldson, Do Your Cores Play Nicely? A Portable Framework for Multi-core Interference Tuning and Analysis. CoRR abs/1809.05197, 2018.

2017

• Haven Blake Skinner, Rafael Trapani Possignolo, Jose Renau, Liam: an actor based programming model for HDLs. MEMOCODE, 185-188, 2017.

• Tyler Sorensen 0001, Hugues Evrard, Alastair F. Donaldson, Cooperative kernels: GPU multitasking for blocking algorithms. ESEC/SIGSOFT FSE, 431-441, 2017.

• Aydin Buluç, Scott Beamer, Kamesh Madduri, Krste Asanovic, David A. Patterson 0001, Distributed-Memory Breadth-First Search on Massive Graphs. CoRR abs/1705.04590, 2017.

• Jason Kamran Eshraghian, Kyoung-Rok Cho, Seungbum Baek, Jun-Ho Kim, Kamran Eshraghian, Biological modeling of vertebrate retina: Rod cell to bipolar cell. TSP, 391-394, 2017.

• Tyler Sorensen 0001, Hugues Evrard, Alastair F. Donaldson, Cooperative Kernels: GPU Multitasking for Blocking Algorithms (Extended Version). CoRR abs/1707.01989, 2017.

• Pengyu Zhang, Colleen Josephson, Dinesh Bharadia, Sachin Katti, FreeRider: Backscatter Communication Using Commodity Radios. CoNEXT, 389-401, 2017.

• Rajsaktish Sankaranarayanan, Matthew R. Guthaus, Energy Savings and Performance Improvement in Subthreshold Using Adaptive Body Bias. ACM Great Lakes Symposium on VLSI, 431-434, 2017.

• Dajung Lee, Alric Althoff, Dustin Richmond, Ryan Kastner, A streaming clustering approach using a heterogeneous system for big data analysis. ICCAD, 699-706, 2017.

• Nathan Chong, Tyler Sorensen 0001, John Wickerson, The Semantics of Transactions and Weak Memory in x86, Power, ARMv8, and C++. CoRR abs/1710.04839, 2017.

• Elnaz Ebrahimi 0001, Matthew R. Guthaus, Jose Renau, Timing speculative SRAM. ISCAS, 1-4, 2017.

• John Wickerson, Mark Batty, Tyler Sorensen 0001, George A. Constantinides, Automatically comparing memory consistency models. POPL, 190-204, 2017.

• Rafael Trapani Possignolo, Jose Renau, LiveSynth: Towards an Interactive Synthesis Flow. DAC, 74:1-74:6, 2017.

• Scott Beamer, Krste Asanovic, David A. Patterson 0001, Reducing Pagerank Communication via Propagation Blocking. IPDPS, 820-831, 2017.

• Riadul Islam, Matthew R. Guthaus, CMCS: Current-Mode Clock Synthesis. IEEE Trans. Very Large Scale Integr. Syst. 25(3), 1054-1062, 2017.

• Jason Kamran Eshraghian, Kyoung-Rok Cho, Herbert H. C. Iu, Tyrone Fernando, Nicolangelo Iannella, Sung-Mo Kang 0001, Kamran Eshraghian, Maximization of Crossbar Array Memory Using Fundamental Memristor Theory. IEEE Trans. Circuits Syst. II Express Briefs 64-II(12), 1402-1406, 2017.

• Elnaz Ebrahimi 0001, Rafael Trapani Possignolo, Jose Renau, Level shifter design for voltage stacking. ISCAS, 1-4, 2017.

• Daphne I. Gorman, Matthew R. Guthaus, Jose Renau, Architectural opportunities for novel dynamic EMI shifting (DEMIS). MICRO, 774-785, 2017.

• Alastair F. Donaldson, Jeroen Ketema, Tyler Sorensen 0001, John Wickerson, Forward Progress on GPU Concurrency (Invited Talk). CONCUR, 1:1-1:13, 2017.

• Ana Klimovic, Heiner Litz, Christos Kozyrakis, ReFlex: Remote Flash ≈ Local Flash. ASPLOS, 345-359, 2017.

2016

• Haohuan Fu, Junfeng Liao, Wei Xue, Lanning Wang, Dexun Chen, Long Gu, Jinxiu Xu 0001, Nan Ding 0006, Xinliang Wang, Conghui He, Shizhen Xu, Yishuang Liang, Jiarui Fang, Yuanchao Xu 0001, Weijie Zheng 0001, Jingheng Xu, Zhen Zheng, Wanjing Wei, Xu Ji, He Zhang, Bingwei Chen, Kaiwei Li, Xiaomeng Huang, Wenguang Chen, Guangwen Yang, Refactoring and optimizing the community atmosphere model (CAM) on the sunway taihulight supercomputer. SC, 969-980, 2016.

• Jason Kamran Eshraghian, Herbert H. C. Iu, Tyrone Fernando, Dongsheng Yu, Zhen Li 0004, Modelling and characterization of dynamic behavior of coupled memristor circuits. ISCAS, 690-693, 2016.

• Tyler Sorensen 0001, Alastair F. Donaldson, Exposing errors related to weak memory in GPU applications. PLDI, 100-113, 2016.

• Rafael Trapani Possignolo, Jose Renau, LiveSynth: Towards an interactive synthesis flow. Hot Chips Symposium, 1, 2016.

• Samira Ataei, James E. Stine, Matthew R. Guthaus, A 64 kb differential single-port 12T SRAM design with a bit-interleaving scheme for low-voltage operation in 32 nm SOI CMOS. ICCD, 499-506, 2016.

• Dustin Richmond, Jeremy Blackstone, Matthew Hogains, Kevin Thai, Ryan Kastner, Tinker: Generating Custom Memory Architectures for Altera’s OpenCL Compiler. FCCM, 21-24, 2016.

• Jason Kamran Eshraghian, Seungbum Baek, Kyoung-Rok Cho, Nicolangelo Iannella, Jun-Ho Kim, Yong-Sook Goo, Herbert H. C. Iu, Tyrone Fernando, Kamran Eshraghian, Modelling and analysis of signal flow platform implementation into retinal cell pathway. APCCAS, 491-494, 2016.

• Ehsan K. Ardestani, Rafael Trapani Possignolo, José Luis Briz, Jose Renau, Managing Mismatches in Voltage Stacking with CoreUnfolding. ACM Trans. Archit. Code Optim. 12(4), 43:1-43:26, 2016.

• Gabriel Southern, Jose Renau, Overhead of deoptimization checks in the V8 javascript engine. IISWC, 75-84, 2016.

• Rafael Trapani Possignolo, Elnaz Ebrahimi 0001, Haven Blake Skinner, Jose Renau, Fluid Pipelines: Elastic circuitry meets Out-of-Order execution. ICCD, 233-240, 2016.

• Gabriel Southern, Jose Renau, Analysis of PARSEC workload scalability. ISPASS, 133-142, 2016.

• Tyler Sorensen 0001, Alastair F. Donaldson, The Hitchhiker’s Guide to Cross-Platform OpenCL Application Development. IWOCL, 2:1-2:12, 2016.

• Tyler Sorensen 0001, Alastair F. Donaldson, Mark Batty, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Portable inter-workgroup barrier synchronisation for GPUs. OOPSLA, 39-58, 2016.

• Janarbek Matai, Dustin Richmond, Dajung Lee, Zac Blair, Qiongzhi Wu, Amin Abazari, Ryan Kastner, Resolve: Generation of High-Performance Sorting Architectures from High-Level Synthesis. FPGA, 195-204, 2016.

• Elnaz Ebrahimi 0001, Rafael Trapani Possignolo, Jose Renau, SRAM voltage stacking. ISCAS, 1634-1637, 2016.

• Seungbum Baek, Jason Kamran Eshraghian, Kyoung-Rok Cho, Nicolangelo Iannella, Jun-Ho Kim, Herbert H. C. Iu, Tyrone Fernando, Kamran Eshraghian, Live demonstration: Signal flow platform implementation into retinal cell pathway. APCCAS, 740-741, 2016.

• Sina Hassani, Gabriel Southern, Jose Renau, LiveSim: Going live with microarchitecture simulation. HPCA, 606-617, 2016.

• Matthew R. Guthaus, James E. Stine, Samira Ataei, Brian Chen, Bin Wu, Mehedi Sarwar, OpenRAM: an open-source memory compiler. ICCAD, 93, 2016.

• Heiner Litz, Benjamin Braun, David R. Cheriton, EXCITE-VM: Extending the Virtual Memory System to Support Snapshot Isolation Transactions. PACT, 401-412, 2016.

2015

• Jose Renau, Message from the program chair. ISPASS, vii, 2015.

• Ping-Yao Lin, Hany Ahmed Fahmy, Riadul Islam, Matthew R. Guthaus, LC resonant clock resource minimization using compensation capacitance. ISCAS, 1406-1409, 2015.

• Kyoung-Rok Cho, Sang-Jin Lee, Kamran Eshraghian, Memristor-CMOS logic and digital computational components. Microelectron. J. 46(3), 214-220, 2015.

• Riadul Islam, Matthew R. Guthaus, Low-Power Clock Distribution Using a Current-Pulsed Clocked Flip-Flop. IEEE Trans. Circuits Syst. I Regul. Pap. 62-I(4), 1156-1164, 2015.

• Hany Ahmed Fahmy, Ping-Yao Lin, Riadul Islam, Matthew R. Guthaus, Switched capacitor quasi-adiabatic clocks. ISCAS, 1398-1401, 2015.

• Matthew Jacobsen, Dustin Richmond, Matthew Hogains, Ryan Kastner, RIFFA 2.1: A Reusable Integration Framework for FPGA Accelerators. ACM Trans. Reconfigurable Technol. Syst. 8(4), 22:1-22:23, 2015.

• Scott Beamer, Krste Asanovic, David A. Patterson 0001, GAIL: the graph algorithm iron law. IA3@SC, 13:1-13:4, 2015.

• Madan Mohan Das, Gabriel Southern, Jose Renau, Section based program analysis to reduce overhead of detecting unsynchronized thread communication. PPoPP, 283-284, 2015.

• Jade Alglave, Luc Maranget, Daniel Poetzl, Tyler Sorensen 0001, I compute, therefore I am (buggy): methodic doubt meets multiprocessors. Tiny Trans. Comput. Sci. 3, 2015.

• Benjamin M. LaCara, Ping-Yao Lin, Matthew R. Guthaus, Multi-frequency resonant clocks. ISCAS, 1402-1405, 2015.

• Scott Beamer, Krste Asanovic, David A. Patterson 0001, Locality Exists in Graph Processing: Workload Characterization on an Ivy Bridge Server. IISWC, 56-65, 2015.

• Madan Mohan Das, Gabriel Southern, Jose Renau, Section-Based Program Analysis to Reduce Overhead of Detecting Unsynchronized Thread Communication. ACM Trans. Archit. Code Optim. 12(2), 23:23:1-23:23:26, 2015.

• Jade Alglave, Mark Batty, Alastair F. Donaldson, Ganesh Gopalakrishnan, Jeroen Ketema, Daniel Poetzl, Tyler Sorensen 0001, John Wickerson, GPU Concurrency: Weak Behaviours and Programming Assumptions. ASPLOS, 577-591, 2015.

• Riadul Islam, Hany Ahmed Fahmy, Ping-Yao Lin, Matthew R. Guthaus, Differential current-mode clock distribution. MWSCAS, 1-4, 2015.

• Scott Beamer, Krste Asanovic, David A. Patterson 0001, The GAP Benchmark Suite. CoRR abs/1508.03619, 2015.

2014

• Heiner Litz, David R. Cheriton, Amin Firoozshahian, Omid Azizi, John P. Stevenson, SI-TM: reducing transactional memory abort rates through snapshot isolation. ASPLOS, 383-398, 2014.

• Riadul Islam, Matthew R. Guthaus, Current-mode clock distribution. ISCAS, 1203-1206, 2014.

• Bo Wang, Heiner Litz, David R. Cheriton, HICAMP bitmap: space-efficient updatable bitmap index for in-memory databases. DaMoN, 7:1-7:7, 2014.

• Quentin Gautier, Alexandria Shearer, Janarbek Matai, Dustin Richmond, Pingfan Meng, Ryan Kastner, Real-time 3D reconstruction for FPGAs: A case study for evaluating the performance, area, and programmability trade-offs of the Altera OpenCL SDK. FPT, 326-329, 2014.

• Janarbek Matai, Dustin Richmond, Dajung Lee, Ryan Kastner, Enabling FPGAs for the Masses. CoRR abs/1408.5870, 2014.

• Kyoung-Rok Cho, Sang-Jin Lee, Omid Kavehei, Kamran Eshraghian, High Fill Factor Low-Voltage CMOS Image Sensor Based on Time-to-Threshold PWM VLSI Architecture. IEEE Trans. Very Large Scale Integr. Syst. 22(7), 1548-1556, 2014.

• Jeren Samandari-Rad, Matthew R. Guthaus, Richard Hughey, Confronting the Variability Issues Affecting the Performance of Next-Generation SRAM Design to Optimize and Predict the Speed and Yield. IEEE Access 2, 577-601, 2014.

• Amirkoushyar Ziabari, Je-Hyoung Park, Ehsan K. Ardestani, Jose Renau, Sung-Mo Kang, Ali Shakouri, Power Blurring: Fast Static and Transient Thermal Analysis Method for Packaged Integrated Circuits and Power Devices. IEEE Trans. Very Large Scale Integr. Syst. 22(11), 2366-2379, 2014.

• Heiner Litz, Ricardo J. Dias, David R. Cheriton, Efficient Correction of Anomalies in Snapshot Isolation Transactions. ACM Trans. Archit. Code Optim. 11(4), 65:1-65:24, 2014.

2013

• Ehsan K. Ardestani, Gabriel Southern, Jason Doung, Elnaz Ebrahimi 0001, Jose Renau, ESESC: A fast performance, power, and temperature multicore simulator. Hot Chips Symposium, 1, 2013.

• Scott Beamer, Aydin Buluç, Krste Asanovic, David A. Patterson 0001, Distributed Memory Breadth-First Search Revisited: Enabling Bottom-Up Search. IPDPS Workshops, 1618-1627, 2013.

• Janusz Rajski, Miodrag Potkonjak, Adit D. Singh, Abhijit Chatterjee, Zain Navabi, Matthew R. Guthaus, Sezer Gören 0001, Embedded tutorials: Embedded tutorial 1: Cell-aware test-from gates to transistors. VLSI-SoC, 2013.

• Alamelu Sankaranarayanan, Ehsan K. Ardestani, José Luis Briz, Jose Renau, An energy efficient GPGPU memory hierarchy with tiny incoherent caches. ISLPED, 9-14, 2013.

• Ehsan K. Ardestani, Francisco J. Mesa-Martinez, Gabriel Southern, Elnaz Ebrahimi 0001, Jose Renau, Sampling in Thermal Simulation of Processors: Measurement, Characterization, and Evaluation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 32(8), 1187-1200, 2013.

• Sheldon Logan, Matthew R. Guthaus, Redundant C4 power pin placement to ensure robust power grid delivery. MWSCAS, 449-452, 2013.

• Sang-Jin Lee, Kwang-Seok Oh, Yeon-Gyu Ahn, Kyoung-Rok Cho, Kamran Eshraghian, Complementary Resistive Switch (CRS) based smart sensor search engine. ISSNIP, 485-490, 2013.

• Ehsan K. Ardestani, Jose Renau, ESESC: A fast multicore simulator using Time-Based Sampling. HPCA, 448-459, 2013.

• Tyler Sorensen 0001, Ganesh Gopalakrishnan, Vinod Grover, Towards shared memory consistency models for GPUs. ICS, 489-490, 2013.

• Scott Beamer, Krste Asanovic, David A. Patterson 0001, Direction-optimizing breadth-first search. Sci. Program. 21(3-4), 137-148, 2013.

• Dustin Richmond, Ryan Kastner, Ali Irturk, John McGarry, A FPGA design for high speed feature extraction from a compressed measurement stream. FPL, 1-8, 2013.

• Michael Chan 0004, Heiner Litz, David R. Cheriton, Rethinking Network Stack Design with Memory Snapshots. HotOS, 2013.

• Holger Fröning, Mondrian Nüssle, Heiner Litz, Christian Leber, Ulrich Brüning 0001, On Achieving High Message Rates. CCGRID, 498-505, 2013.

• Matthew R. Guthaus, Gustavo Wilke, Ricardo Reis 0001, Revisiting automated physical synthesis of high-performance clock networks. ACM Trans. Design Autom. Electr. Syst. 18(2), 31:1-31:27, 2013.

• Sheldon Logan, Matthew R. Guthaus, A decap placement methodology for reducing joule heating and temperature in PSN interconnect. MWSCAS, 840-843, 2013.

2012

• Sang-Jin Lee, Omid Kavehei, Kamran Eshraghian, Kyoung-Rok Cho, Live demonstration: High fill factor CIS based on single inverter architecture. ISCAS, 735, 2012.

• Xuchu Hu, Matthew R. Guthaus, Distributed LC Resonant Clock Grid Synthesis. IEEE Trans. Circuits Syst. I Regul. Pap. 59-I(11), 2749-2760, 2012.

• Rajsaktish Sankaranarayanan, Matthew R. Guthaus, A single-VDD ultra-low energy sub-threshold FPGA. VLSI-SoC, 219-224, 2012.

• Matthew R. Guthaus, Xuchu Hu, Gustavo Wilke, Guilherme Flach, Ricardo Reis 0001, High-performance clock mesh optimization. ACM Trans. Design Autom. Electr. Syst. 17(3), 33:1-33:17, 2012.

• Xuchu Hu, Walter James Condley, Matthew R. Guthaus, Library-aware resonant clock synthesis (LARCS). DAC, 145-150, 2012.

• Ehsan K. Ardestani, Elnaz Ebrahimi 0001, Gabriel Southern, Jose Renau, Thermal-aware sampling in architectural simulation. ISLPED, 33-38, 2012.

• Jeren Samandari-Rad, Matthew R. Guthaus, Richard Hughey, VAR-TX: A variability-aware SRAM model for predicting the optimum architecture to achieve minimum access-time for yield enhancement in nano-scaled CMOS. ISQED, 506-515, 2012.

• Scott Beamer, Krste Asanovic, David A. Patterson 0001, Direction-optimizing breadth-first search. SC, 12, 2012.

• Seokjoong Kim, Matthew R. Guthaus, Dynamic voltage scaling for SEU-tolerance in low-power memories. VLSI-SoC, 207-212, 2012.

• Curtis Andrus, Matthew R. Guthaus, Lithography-aware layout compaction. ACM Great Lakes Symposium on VLSI, 147-152, 2012.

• Kamran Eshraghian, Omid Kavehei, Kyoung-Rok Cho, James M. Chappell, Azhar Iqbal, Said F. Al-Sarawi, Derek Abbott, Memristive Device Fundamentals and Modeling: Applications to Circuits and Systems Simulation. Proc. IEEE 100(6), 1991-2007, 2012.

• Matthew R. Guthaus, Baris Taskin, High-Performance, Low-Power Resonant Clocking: Embedded tutorial. ICCAD, 742-745, 2012.

• Seokjoong Kim, Matthew R. Guthaus, SEU-Aware Low-Power Memories Using a Multiple Supply Voltage Array Architecture. VLSI-SoC (Selected Papers), 181-195, 2012.

• Matthew R. Guthaus, Welcome from the general chair. VLSI-SoC, 2012.

• Haven Blake Skinner, Xuchu Hu, Matthew R. Guthaus, Harmonic resonant clocking. VLSI-SoC, 59-64, 2012.

• Shoaib Kamil 0001, Derrick Coetzee, Scott Beamer, Henry Cook, Ekaterina Gonina, Jonathan Harper, Jeffrey Morlan, Armando Fox, Portable parallel performance from sequential, productive, embedded domain-specific languages. PPoPP, 303-304, 2012.

2011

• Michael Brown, Jose Renau, ReRack: power simulation for data centers with renewable energy generation. SIGMETRICS Perform. Evaluation Rev. 39(3), 77-81, 2011.

• Christian Leber, Benjamin Geib, Heiner Litz, High Frequency Trading Acceleration Using FPGAs. FPL, 317-322, 2011.

• Sheldon Logan, Matthew R. Guthaus, Package-chip co-design to increase flip-chip C4 reliability. ISQED, 553-558, 2011.

• Seokjoong Kim, Matthew R. Guthaus, Leakage-aware redundancy for reliable sub-threshold memories. DAC, 435-440, 2011.

• Heiner Litz, Christian Leber, Benjamin Geib, DSL programmable engine for high frequency trading acceleration. WHPCF@SC, 31-38, 2011.

• Walter James Condley, Andrew W. Hill, Matthew R. Guthaus, Advanced logic design through hands-on digital music synthesis. MSE, 17-20, 2011.

• Omid Kavehei, Said F. Al-Sarawi, Kyoung-Rok Cho, Kamran Eshraghian, Derek Abbott, An Analytical Approach for Memristive Nanoarchitectures CoRR abs/1106.2927, 2011.

• Jose Renau, Will Eatherton, Hot Chips 22. IEEE Micro 31(2), 4-5, 2011.

• Kamran Eshraghian, Kyoung-Rok Cho, Omid Kavehei, Soon-Ku Kang, Derek Abbott, Sung-Mo Steve Kang 0001, Memristor MOS Content Addressable Memory (MCAM): Hybrid Architecture for Future High Performance Search Engines. IEEE Trans. Very Large Scale Integr. Syst. 19(8), 1407-1417, 2011.

• Matthew R. Guthaus, Distributed LC resonant clock tree synthesis. ISCAS, 1215-1218, 2011.

• Seokjoong Kim, Matthew R. Guthaus, SNM-aware power reduction and reliability improvement in 45nm SRAMs. VLSI-SoC, 204-207, 2011.

• Christopher H. O. Olola, Scott P. Narus, Jonathan R. Nebeker, Mollie R. Poynton, Joseph Hales, Belle Rowan, Heather LeSieur, Cynthia Zumbrennen, Annemarie A. Edwards, Robert Crawford, Spencer Amundsen, Yasmin Kabir, Joseph Atkin, Cynthia Newberry, Jason Young, Tariq Hanifi, Ben Risenmay, Tyler Sorensen 0001, R. Scott Evans, The perception of medical professionals and medical students on the usefulness of an emergency medical card and a continuity of care report in enhancing continuity of care. Int. J. Medical Informatics 80(6), 412-420, 2011.

• Xuchu Hu, Matthew R. Guthaus, Distributed Resonant clOCK grid Synthesis (ROCKS). DAC, 516-521, 2011.

• Sangeetha Sudhakrishnan, Rigo Dicochea, Jose Renau, Releasing efficient beta cores to market early. ISCA, 213-222, 2011.

• Omid Kavehei, Said F. Al-Sarawi, Kyoung-Rok Cho, Nicolangelo Iannella, Sung-Jin Kim, Kamran Eshraghian, Derek Abbott, Memristor-based Synaptic Networks and Logical Operations Using In-Situ Computing CoRR abs/1108.4182, 2011.

• Sangeetha Sudhakrishnan, Francisco J. Mesa-Martinez, Jose Renau, A design time simulator for computer architects. ISQED, 164-173, 2011.

• Walter James Condley, Xuchu Hu, Matthew R. Guthaus, A methodology for local resonant clock synthesis using LC-assisted local clock buffers. ICCAD, 503-506, 2011.

• Seokjoong Kim, Matthew R. Guthaus, Low-power multiple-bit upset tolerant memory optimization. ICCAD, 577-581, 2011.

• Xuchu Hu, Matthew R. Guthaus, Clock tree optimization for Electromagnetic Compatibility (EMC). ASP-DAC, 184-189, 2011.

2010

• Scott Beamer, Chen Sun 0003, Yong-Jin Kwon, Ajay Joshi, Christopher Batten, Vladimir Stojanovic, Krste Asanovic, Re-architecting DRAM memory systems with monolithically integrated silicon photonics. ISCA, 129-140, 2010.

• Heiner Litz, Maximilian Thürmer, Ulrich Brüning 0001, TCCluster: A Cluster Architecture Utilizing the Processor Host Interface as a Network Interconnect. CLUSTER, 9-18, 2010.

• Derek Chan, Matthew R. Guthaus, Analysis of power supply induced jitter in actively de-skewed multi-core systems. ISQED, 785-790, 2010.

• Francisco J. Mesa-Martinez, Ehsan K. Ardestani, Jose Renau, Characterizing processor thermal behavior. ASPLOS, 193-204, 2010.

• Sang-Jin Lee, Omid Kavehei, Yoon-Ki Hong, Tae Won Cho, Younggap You, Kyoung-Rok Cho, Kamran Eshraghian, 3-D System-on-System (SoS) Biomedical-Imaging Architecture for Health-Care Applications. IEEE Trans. Biomed. Circuits Syst. 4(6), 426-436, 2010.

• Matthew R. Guthaus, Gustavo Wilke, Ricardo Reis 0001, Non-uniform clock mesh optimization with linear programming buffer insertion. DAC, 74-79, 2010.

• Walter James Condley, Xuchu Hu, Matthew R. Guthaus, Analysis of high-performance clock networks with RLC and transmission line effects. SLIP, 51-58, 2010.

• Holger Fröning, Heiner Litz, Efficient hardware support for the Partitioned Global Address Space. IPDPS Workshops, 1-6, 2010.

2009

• Keven L. Woo, Matthew R. Guthaus, Fault-tolerant synthesis using non-uniform redundancy. ICCD, 213-218, 2009.

• Matthew R. Guthaus, Teaching VLSI design in 10 weeks. MSE, 41-44, 2009.

• Sang-Jin Lee, Kyung-Chang Park, Yeon-Ho Kim, Yun-ki Hong, Younggap You, Kyoung-Rok Cho, Tae Won Cho, Kamran Eshraghian, System-on-System (SoS) architecture for 3-D secure imaging. SoCC, 436-439, 2009.

• Ajay Joshi, Christopher Batten, Yong-Jin Kwon, Scott Beamer, Imran Shamim, Krste Asanovic, Vladimir Stojanovic, Silicon-photonic clos networks for global on-chip communication. NOCS, 124-133, 2009.

• Heiner Litz, Holger Fröning, Maximilian Thürmer, Ulrich Brüning 0001, An FPGA based verification platform for HyperTransport 3.x. FPL, 631-634, 2009.

• Joseph Nayfach-Battilana, Jose Renau, SOI, interconnect, package, and mainboard thermal characterization. ISLPED, 327-330, 2009.

• Michael Brown, Cyrus Bazeghi, Matthew R. Guthaus, Jose Renau, Measuring and modeling variabilityusing low-cost FPGAs. FPGA, 286, 2009.

• Heiner Litz, Holger Fröning, Ulrich Brüning 0001, A HyperTransport 3 Physical Layer Interface for FPGAs. ARC, 4-14, 2009.

• Holger Fröning, Heiner Litz, Ulrich Brüning 0001, Efficient Virtualization of High-Performance Network Interfaces. ICN, 434-439, 2009.

• Scott Beamer, Krste Asanovic, Christopher Batten, Ajay Joshi, Vladimir Stojanovic, Designing multi-socket systems using silicon photonics. ICS, 521-522, 2009.

2008

• Heiner Litz, Holger Fröning, Mondrian Nüssle, Ulrich Brüning 0001, VELO: A Novel Communication Engine for Ultra-Low Latency Message Transfers. ICPP, 238-245, 2008.

• Francisco J. Mesa-Martinez, Michael Brown, Joseph Nayfach-Battilana, Jose Renau, Measuring power and temperature from real processors. IPDPS, 1-5, 2008.

• Sangeetha Sudhakrishnan, Liying Su, Jose Renau, Processor Verification with hwBugHunt. ISQED, 224-229, 2008.

• Kamran Eshraghian, “Surfing the iSoC multitechnology platform: Volumetric growth beyond Moore’s law”. SoCC, 5-6, 2008.

• Sangeetha Sudhakrishnan, Janaki T. Madhavan, E. James Whitehead Jr., Jose Renau, Understanding bug fix patterns in verilog. MSR, 39-42, 2008.

• Matthew R. Guthaus, Dennis Sylvester, Richard B. Brown, Clock tree synthesis with data-path sensitivity matching. ASP-DAC, 498-503, 2008.

2007

• Cyrus Bazeghi, Francisco J. Mesa-Martinez, Jose Renau, System and Procesor Design Effort Estimation. VLSI-SoC (Selected Papers), 1-21, 2007.

• Francisco J. Mesa-Martinez, Joseph Nayfach-Battilana, Jose Renau, Power model validation through thermal measurements. ISCA, 302-311, 2007.

• Francisco J. Mesa-Martinez, Jose Renau, Effective Optimistic-Checker Tandem Core Design through Architectural Pruning. MICRO, 236-248, 2007.

• Francisco J. Mesa-Martinez, Michael Brown, Joseph Nayfach-Battilana, Jose Renau, Measuring performance, power, and temperature from real processors. Experimental Computer Science, 16, 2007.

• Cyrus Bazeghi, Francisco J. Mesa-Martinez, Brian Greskamp, Josep Torrellas, Jose Renau, Estimating design time for system circuits. VLSI-SoC, 60-65, 2007.

2006

• Luis Ceze, Karin Strauss, James Tuck 0001, Josep Torrellas, Jose Renau, CAVA: Using checkpoint-assisted value prediction to hide L2 misses. ACM Trans. Archit. Code Optim. 3(2), 182-208, 2006.

• Matthew R. Guthaus, Dennis Sylvester, Richard B. Brown, Clock buffer and wire sizing using sequential programming. DAC, 1041-1046, 2006.

• Chul Kim, A. M. Rassau, Stefan Lachowicz, Mike Myung-Ok Lee, Kamran Eshraghian, 3D-SoftChip: A Novel Architecture for Next-Generation Adaptive Computing Systems. EURASIP J. Adv. Signal Process. 2006, 2006.

• Kamran Eshraghian, SoC Emerging Technologies. Proc. IEEE 94(6), 1197-1213, 2006.

• Yun Ding, Heiner Litz, Creating multiplatform user interfaces by annotation and adaptation. IUI, 270-272, 2006.

• Jose Renau, Karin Strauss, Luis Ceze, Wei Liu 0014, Smruti R. Sarangi, James Tuck 0001, Josep Torrellas, Energy-Efficient Thread-Level Speculation. IEEE Micro 26(1), 80-91, 2006.

• Wei Liu 0014, James Tuck 0001, Luis Ceze, Wonsun Ahn, Karin Strauss, Jose Renau, Josep Torrellas, POSH: a TLS compiler that exploits program structure. PPoPP, 158-167, 2006.

• Francisco J. Mesa-Martinez, Michael C. Huang 0001, Jose Renau, SEED: scalable, efficient enforcement of dependences. PACT, 254-264, 2006.

• Matthew R. Guthaus, Dennis Sylvester, Richard B. Brown, Process-induced skew reduction in nominal zero-skew clock trees. ASP-DAC, 84-89, 2006.

2005

• Jose Renau, Karin Strauss, Luis Ceze, Wei Liu 0014, Smruti R. Sarangi, James Tuck 0001, Josep Torrellas, Thread-Level Speculation on a CMP can be energy efficient. ICS, 219-228, 2005.

• Matthew R. Guthaus, Natesan Venkateswaran, Chandu Visweswariah, Vladimir Zolotov, Gate sizing using incremental parameterized statistical timing analysis. ICCAD, 1029-1036, 2005.

• Rajiv A. Ravindran, Robert M. Senger, Eric D. Marsman, Ganesh S. Dasika, Matthew R. Guthaus, Scott A. Mahlke, Richard B. Brown, Partitioning Variables across Register Windows to Reduce Spill Code in a Low-Power Processor. IEEE Trans. Computers 54(8), 998-1012, 2005.

• Matthew R. Guthaus, Natesan Venkateswaran, Vladimir Zolotov, Dennis Sylvester, Richard B. Brown, Optimization objectives and models of variation for statistical gate sizing. ACM Great Lakes Symposium on VLSI, 313-316, 2005.

• Chul Kim, A. M. Rassau, Stefan Lachowicz, Saeid Nooshabadi, Kamran Eshraghian, 3D-SoftChip: A Novel 3D Vertically Integrated Adaptive Computing System. VLSI-SoC, 71-86, 2005.

• Cyrus Bazeghi, Francisco J. Mesa-Martinez, Jose Renau, uComplexity: Estimating Processor Design Effort. MICRO, 209-218, 2005.

• Jose Renau, James Tuck 0001, Wei Liu 0014, Luis Ceze, Karin Strauss, Josep Torrellas, Tasking with out-of-order spawn in TLS chip multiprocessors: microarchitecture and compilation. ICS, 179-188, 2005.

2004

• Chul Kim, Mike Myung-Ok Lee, Byung-Lok Cho, Kamran Eshraghian, SOC-B Design and Testing Technique of IS-95C CDMA Transmitter for Measurement of Electric Field Intensity using FPGA and ASIC. DELTA, 251-254, 2004.

• Zhenglin Wang, Kamal E. Alameh, Selam T. Ahderom, Rong Zheng 0002, Mehrdad Raisi, Kamran Eshraghian, Novel Integrated Optical Router for MicroPhotonic Switching. DELTA, 213-218, 2004.

• Seung-Min Lee, Stefan Lachowicz, David Lucas, A. M. Rassau, Kamran Eshraghian, Mike Myung-Ok Lee, Kamal E. Alameh, A Novel Design of Beam Steering n-phase OPTO-ULSI Processor for IIPS. DELTA, 395-402, 2004.

• Zhenglin Wang, Kamal E. Alameh, Selam T. Ahderom, Rong Zheng 0002, Mehrdad Raisi, Kamran Eshraghian, Integrated Optical Routing Topology for MicroPhotonic Switches. HSNMC, 848-854, 2004.

• Kamal E. Alameh, Selam T. Ahderom, Mehrdad Raisi, Rong Zheng 0002, Kamran Eshraghian, MicroPhotonic Reconfigurable RF Signal Processor. DELTA, 63-70, 2004.

• Yun Ding, Heiner Litz, Dennis Pfisterer, A graphical single-authoring framework for building multi-platform user interfaces. IUI, 235-237, 2004.

• Mehrdad Raisi, Selam T. Ahderom, Kamal E. Alameh, Kamran Eshraghian, Multi-band MicroPhotonic Tunable Optical Filter. DELTA, 391-394, 2004.

• Selam T. Ahderom, Mehrdad Raisi, Kamal E. Alameh, Kamran Eshraghian, Reconfigurable Add/Drop Multiplexing Topology Employing Adaptive MicroPhotonic Technology. HSNMC, 813-820, 2004.

• Mehrdad Raisi, Selam T. Ahderom, Kamal E. Alameh, Kamran Eshraghian, Dynamic MicroPhotonic WDM Equalizer. DELTA, 59-62, 2004.

• Luis Ceze, Karin Strauss, James Tuck 0001, Jose Renau, Josep Torrellas, CAVA: Hiding L2 Misses with Checkpoint-Assisted Value Prediction. IEEE Comput. Archit. Lett. 3, 2004.

• Kamal E. Alameh, Kamran Eshraghian, Selam T. Ahderom, Mehrdad Raisi, Mike Myung-Ok Lee, Rainer Michalzik, Integrated MicroPhotonic Broadband Smart Antenna Beamformer. DELTA, 208-212, 2004.

• Selam T. Ahderom, Mehrdad Raisi, Kamal E. Alameh, Kamran Eshraghian, Testing and Analysis of Computer Generated Holograms for MicroPhotonic Devices. DELTA, 47-52, 2004.

• Steven Hinckley, Paul V. Jansz-Drávetzky, Kamran Eshraghian, Pixel Structure Effects on Crosstalk in Backwall Illuminated CMOS Compatible Photodiode Arrays. DELTA, 53-58, 2004.

• Kamal E. Alameh, Abdesselam Bouzerdoum, Selam T. Ahderom, Mehrdad Raisi, Kamran Eshraghian, X. Zhao, Rong Zheng 0002, Zhenglin Wang, Integrated MicroPhotonic Wideband RF Interference Mitigation Filter. DELTA, 387-390, 2004.

• Seung-Min Lee, David Lucas, Mike Myung-Ok Lee, Kamran Eshraghian, Dae-Ik Kim, Kamal E. Alameh, High Density and Low Power Beam Steering Opto-ULSI Processor for IIPS. HSNMC, 894-902, 2004.

• Selam T. Ahderom, Mehrdad Raisi, Kamal E. Alameh, Kamran Eshraghian, Reconfigurable MicroPhotonic Add/Drop Multiplexer Architecture. DELTA, 203-207, 2004.

2003

• Basilio B. Fraguela, Jose Renau, Paul Feautrier, David A. Padua, Josep Torrellas, Programming the FlexRAM parallel intelligent memory system. PPoPP, 49-60, 2003.

• Rajiv A. Ravindran, Robert M. Senger, Eric D. Marsman, Ganesh S. Dasika, Matthew R. Guthaus, Scott A. Mahlke, Richard B. Brown, Increasing the number of effective registers in a low-power processor using a windowed register file. CASES, 125-136, 2003.

• Michael C. Huang 0001, Jose Renau, Josep Torrellas, Positional Adaptation of Processors: Application to Energy Reduction. ISCA, 157-168, 2003.

• Yun Ding, Heiner Litz, Rainer Malaka, Dennis Pfisterer, On Programming Information Agent Systems - An Integrated Hotel Reservation Service as Case Study. MATES, 50-61, 2003.

• Robert M. Senger, Eric D. Marsman, Michael S. McCorquodale, Fadi H. Gebara, Keith L. Kraver, Matthew R. Guthaus, Richard B. Brown, A 16-bit mixed-signal microsystem with integrated CMOS-MEMS clock reference. DAC, 520-525, 2003.

2002

• Michael C. Huang 0001, Jose Renau, Josep Torrellas, Energy-efficient hybrid wakeup logic. ISLPED, 196-201, 2002.

• José F. Martínez, Jose Renau, Michael C. Huang 0001, Milos Prvulovic, Josep Torrellas, Cherry: checkpointed early resource recycling in out-of-order microprocessors. MICRO, 3-14, 2002.

2001

• Michael C. Huang 0001, Jose Renau, Seung-Moon Yoo, Josep Torrellas, L1 data cache decomposition for energy efficiency. ISLPED, 10-15, 2001.

• Maolin Tang, Kamran Eshraghian, Daryoush Habibi, Knowledge-based Genetic Algorithm for Layer Assignment. ACSC, 184-190, 2001.

• Michael C. Huang 0001, Jose Renau, Seung-Moon Yoo, Josep Torrellas, The Design of DEETM: a Framework for Dynamic Energy Efficiency and Temperature Management. J. Instr. Level Parallelism 3, 2001.

2000

• Michael C. Huang 0001, Jose Renau, Seung-Moon Yoo, Josep Torrellas, Energy/Performance Design of Memory Hierarchies for Processor-in-Memory Chips. Intelligent Memory Systems, 152-159, 2000.

• Michael C. Huang 0001, Jose Renau, Seung-Moon Yoo, Josep Torrellas, A framework for dynamic energy efficiency and temperature management. MICRO, 202-213, 2000.

• Amine Bermak, Abdesselam Bouzerdoum, Kamran Eshraghian, A high fill-factor native logarithmic pixel: Simulation, design and layout optimization. ISCAS, 293-296, 2000.

• Amine Bermak, Abdesselam Bouzerdoum, Kamran Eshraghian, Jean L. Noullet, CMOS circuit for high-speed flexible read-out of CMOS imagers. VCIP, 1471-1479, 2000.

• Morteza Biglari-Abhari, Kamran Eshraghian, Michael J. Liebelt, Improving Binary Compatibility in VLIW Machines through Compiler Assisted Dynamic Rescheduling. EUROMICRO, 1386-1393, 2000.

• Hon Nin Cheung, Li-Minn Ang, Kamran Eshraghian, Parallel Architecture for the Implementation of the Embedded Zerotree Wavelet Algorithm. ACAC, 3-8, 2000.

• Li-Minn Ang, Hon Nin Cheung, Kamran Eshraghian, A dataflow-oriented VLSI architecture for a modified SPIHT algorithm using depth-first search bit stream processing. ISCAS, 291-294, 2000.

• Kamran Eshraghian, Deep Submicron USLI Design Paradigm: Who is Writing the Future? ISQED, 213-, 2000.

1999

• Li-Minn Ang, Hon Nin Cheung, Kamran Eshraghian, VLSI decoder architecture for embedded zerotree wavelet algorithm. ISCAS (1), 141-144, 1999.

• Hon Nin Cheung, Geoff Alagoda, Kamran Eshraghian, Li-Minn Ang, Smart pixel VLSI architecture for embedded zerotree wavelet coding. ISSPA, 693-696, 1999.

• Li-Minn Ang, Hon Nin Cheung, Kamran Eshraghian, EZW algorithm using depth-first representation of the wavelet zerotree. ISSPA, 75-78, 1999.

• Saeid Nooshabadi, Juan A. Montiel-Nelson, Kamran Eshraghian, A novel latch design technique for high speed GaAs circuits. ICECS, 331-334, 1999.

• Maolin Tang, Kamran Eshraghian, Hon Nin Cheung, An Efficient Aopproach to Constrained Via Minimization for Two-Layer VLSI Routing. ASP-DAC, 149-152, 1999.

• Stefan Lachowicz, Kamran Eshraghian, Hans-Jörg Pfleiderer, Self-Timed Techniques for Low-Power Digital Arithmetic in GaAs VLSI. VLSI, 245-256, 1999.

• Alexander Rassau, R. Mavaddat, Geoffrey Alagoda, Kamran Eshraghian, System analysis of an intelligent pixel mobile multimedia communicator. ISSPA, 801-804, 1999.

• Alexander Rassau, Geoffrey Alagoda, Kamran Eshraghian, Massively parallel wavelet based video codec for an intelligent-pixel mobile multimedia communicator. ISSPA, 793-795, 1999.

• Li-Minn Ang, Hon Nin Cheung, Kamran Eshraghian, Robust image compression using the depth-first search on the wavelet zerotree. ISSPA, 797-800, 1999.

• Stefan Lachowicz, Kamran Eshraghian, M. Hollreiser, Hans-Jörg Pfleiderer, Self-timed MESFET gallium arsenide circuit techniques for a direct digital frequency synthesiser. ISSPA, 575-578, 1999.

• A. M. Rassau, Geoffrey Alagoda, David Lucas, J. Austin-Crowe, Kamran Eshraghian, Massively Parallel Intelligent Pixel Implementation of a Zerotree Entropy Video Codec for Multimedia Communications. VLSI, 89-100, 1999.

• José Francisco López, Roberto Sarmiento, Antonio Núñez, Kamran Eshraghian, Stefan Lachowicz, Derek Abbott, Low Power Techniques for Digital GaAs VLSI. Great Lakes Symposium on VLSI, 321-324, 1999.

1998

• Derek Abbott, Said F. Al-Sarawi, B. Gonzalez, José Francisco López, J. Austin-Crowe, Kamran Eshraghian, Neu-MOS (νMOS) for smart sensors and extension to a novel neu-GaAs (νGaAs) paradigm. ICECS, 397-404, 1998.

• A. M. Rassau, T. C. B. Yu, H. Cheung, Stefan Lachowicz, Kamran Eshraghian, William A. Crossland, Tim D. Wilkinson, Smart Pixel Implementation of a 2-D Parallel Nucleic Wavelet Transform for Mobile Multimedia Communications. DATE, 191-195, 1998.

• Ganesh Kothapalli, Stefan Lachowicz, Kamran Eshraghian, A parameter search technique to build an ARMA model. KES (1), 298-301, 1998.

• Kamran Eshraghian, Design methodology and performance estimation for complementary gallium arsenide. ICECS, 379-383, 1998.

1997

• José Francisco López, Kamran Eshraghian, Roberto Sarmiento, Antonio Núñez, Derek Abbott, GaAs pseudodynamic latched logic for high performance processor cores. IEEE J. Solid State Circuits 32(8), 1297-1303, 1997.

• José Francisco López, Roberto Sarmiento, Kamran Eshraghian, Antonio Núñez, Noise margin enhancement in GaAs ROM’s using current mode logic. IEEE J. Solid State Circuits 32(4), 592-597, 1997.

• Alireza Moini, Abdesselam Bouzerdoum, Kamran Eshraghian, Andre Yakovleff, Xuan Thong Nguyen, Andrew J. Blanksby, Richard Beare, Derek Abbott, Robert Eugene Bogner, An insect vision-based motion detection chip. IEEE J. Solid State Circuits 32(2), 279-284, 1997.

• Nozar Tabrizi, Michael J. Liebelt, Kamran Eshraghian, A Tabular Method for Guard Strengthening, Symmetrization, and Operator Reduction for Martin’s Asynchronous Design Methodology. IEEE Trans. Computers 46(9), 1050-1054, 1997.

• Kamran Eshraghian, Juan A. Montiel-Nelson, Saeid Nooshabadi, An Asynchronous Morphological Processor for Multi-Media Applications. VLSI Design, 336-341, 1997.

• Kamran Eshraghian, Opto-VLSI Systems for Multimedia Computing. VLSI Design, 6-9, 1997.

1996

• Nozar Tabrizi, Michael J. Liebelt, Kamran Eshraghian, Delay Hazards in Complex Gate Based Speed Independent VLSI Circuits. Great Lakes Symposium on VLSI, 266-271, 1996.

• Nozar Tabrizi, Michael J. Liebelt, Kamran Eshraghian, Dynamic hazards and speed independent delay model. ASYNC, 94-103, 1996.

1995

• Alireza Moini, Kamran Eshraghian, Abdesselam Bouzerdoum, The impact of VLSI technologies on neural networks. ICNN, 158-163, 1995.

• Zhihong Man, Hong Ren Wu, Kamran Eshraghian, Marimuthu Palaniswami, An adaptive tracking controller using neural networks for nonlinear systems. ICNN, 314-319, 1995.

• Zhihong Man, X. H. Yu, Kamran Eshraghian, Marimuthu Palaniswami, A robust adaptive sliding mode tracking control using an RBF neural network for robotic manipulators. ICNN, 2403-2408, 1995.

• Song Cui, Neil Burgess, Michael J. Liebelt, Kamran Eshraghian, A 32-bit GaAs IEEE floating point multiplier using Trailing-1’s rounding algorithm. Electronic Technology Directions, 246-252, 1995.

• X. Thong Nguyen, Abdesselam Bouzerdoum, Robert E. Bogner, Alireza Moini, Kamran Eshraghian, Feature Representation of Motion Trajectories. ICNN, 2922-2927, 1995.

• Derek Abbott, Andre Yakovleff, Alireza Moini, X. Thong Nguyen, Andrew J. Blanksby, Richard Beare, Andrew Beaumont-Smith, Gyudong Kim, Abdesselam Bouzerdoum, Robert E. Bogner, Kamran Eshraghian, Biologically inspired obstacle avoidance - a technology independent paradigm. Mobile Robots, 2-12, 1995.

• Song Cui, Neil Burgess, Michael J. Liebelt, Kamran Eshraghian, A GaAs IEEE Floating Point Standard Single Precision Multiplier. IEEE Symposium on Computer Arithmetic, 91-97, 1995.

• Alireza Moini, Andrew J. Blanksby, Abdesselam Bouzerdoum, Kamran Eshraghian, Richard Beare, Multiplicative noise cancellation (MNC) in analog VLSI vision sensors. Electronic Technology Directions, 253-257, 1995.

1994

• Roberto Sarmiento, Kamran Eshraghian, Implementation of a CORDIC Processor for CFFT Computation in Gallium Arsenide Technology. EDAC-ETC-EUROASIC, 238-244, 1994.

• Andre Yakovleff, X. Thong Nguyen, Abdesselam Bouzerdoum, Alireza Moini, Robert E. Bogner, Kamran Eshraghian, Dual-Purpose Interpretation of Sensory Information. ICRA, 1635-1640, 1994.