| 2020 | (Almost) Fence-less Persist Ordering. Sara Mahdizadeh-Shahri, Seyed Armin Vakil-Ghahani, Aasheesh Kolli |
| 2020 | 53rd Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2020, Athens, Greece, October 17-21, 2020 |
| 2020 | A Benchmarking Framework for Interactive 3D Applications in the Cloud. Tianyi Liu, Sen He, Sunzhou Huang, Danny H. K. Tsang, Lingjia Tang, Jason Mars, Wei Wang |
| 2020 | A Locality-Aware Energy-Efficient Accelerator for Graph Mining Applications. Pengcheng Yao, Long Zheng, Zhen Zeng, Yu Huang, Chuangyi Gui, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2020 | AQUOMAN: An Analytic-Query Offloading Machine. Shuotao Xu, Thomas Bourgeat, Tianhao Huang, Hojun Kim, Sungjin Lee, Arvind |
| 2020 | AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing. Tong Geng, Ang Li, Runbin Shi, Chunshu Wu, Tianqi Wang, Yanfei Li, Pouya Haghi, Antonino Tumeo, Shuai Che, Steven K. Reinhardt, Martin C. Herbordt |
| 2020 | AutoScale: Energy Efficiency Optimization for Stochastic Edge Inference Using Reinforcement Learning. Young Geun Kim, Carole-Jean Wu |
| 2020 | BOW: Breathing Operand Windows to Exploit Bypassing in GPUs. Hodjat Asghari Esfeden, AmirAli Abdolrashidi, Shafiur Rahman, Daniel Wong, Nael B. Abu-Ghazaleh |
| 2020 | Bit-Exact ECC Recovery (BEER): Determining DRAM On-Die ECC Functions by Exploiting DRAM Data Retention Characteristics. Minesh Patel, Jeremie S. Kim, Taha Shahroodi, Hasan Hassan, Onur Mutlu |
| 2020 | Boosting Store Buffer Efficiency with Store-Prefetch Bursts. Juan M. Cebrian, Stefanos Kaxiras, Alberto Ros |
| 2020 | BranchNet: A Convolutional Neural Network to Predict Hard-To-Predict Branches. Siavash Zangeneh, Stephen Pruett, Sangkug Lym, Yale N. Patt |
| 2020 | Building the Computing System for Autonomous Micromobility Vehicles: Design Constraints and Architectural Optimizations. Bo Yu, Wei Hu, Leimeng Xu, Jie Tang, Shaoshan Liu, Yuhao Zhu |
| 2020 | CATCAM: Constant-time Alteration Ternary CAM with Scalable In-Memory Architecture. Dibei Chen, Zhaoshi Li, Tianzhu Xiong, Zhiwei Liu, Jun Yang, Shouyi Yin, Shaojun Wei, Leibo Liu |
| 2020 | CHiRP: Control-Flow History Reuse Prediction. Samira Mirbagher Ajorpaz, Elba Garza, Gilles Pokam, Daniel A. Jiménez |
| 2020 | CaSA: End-to-end Quantitative Security Analysis of Randomly Mapped Caches. Thomas Bourgeat, Jules Drean, Yuheng Yang, Lillian Tsai, Joel S. Emer, Mengjia Yan |
| 2020 | Characterizing and Modeling Non-Volatile Memory Systems. Zixuan Wang, Xiao Liu, Jian Yang, Theodore Michailidis, Steven Swanson, Jishen Zhao |
| 2020 | Circuit Compilation Methodologies for Quantum Approximate Optimization Algorithm. Mahabubul Alam, Abdullah Ash-Saki, Swaroop Ghosh |
| 2020 | ConfuciuX: Autonomous Hardware Resource Assignment for DNN Accelerators using Reinforcement Learning. Sheng-Chun Kao, Geonhwa Jeong, Tushar Krishna |
| 2020 | Coordinated Priority-aware Charging of Distributed Batteries in Oversubscribed Data Centers. Sulav Malla, Qingyuan Deng, Zoh Ebrahimzadeh, Joe Gasperetti, Sajal Jain, Parimala Kondety, Thiara Ortiz, Debra Vieira |
| 2020 | CuttleSys: Data-Driven Resource Management for Interactive Services on Reconfigurable Multicores. Neeraj Kulkarni, Gonzalo Gonzalez-Pumariega, Amulya Khurana, Christine A. Shoemaker, Christina Delimitrou, David H. Albonesi |
| 2020 | D-SOAP: Dynamic Spatial Orientation Affinity Prediction for Caching in Multi-Orientation Memory Systems. Minli Julie Liao, Jack Sampson |
| 2020 | DStress: Automatic Synthesis of DRAM Reliability Stress Viruses using Genetic Algorithms. Lev Mukhanov, Dimitrios S. Nikolopoulos, Georgios Karakonstantis |
| 2020 | DUAL: Acceleration of Clustering Algorithms using Digital-based Processing In-Memory. Mohsen Imani, Saikishan Pampana, Saransh Gupta, Minxuan Zhou, Yeseong Kim, Tajana Rosing |
| 2020 | DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie |
| 2020 | Deterministic Atomic Buffering. Yuan-Hsi Chou, Christopher Ng, Shaylin Cattell, Jeremy Intan, Matthew D. Sinclair, Joseph Devietti, Timothy G. Rogers, Tor M. Aamodt |
| 2020 | DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates. Alex Renda, Yishen Chen, Charith Mendis, Michael Carbin |
| 2020 | Draco: Architectural and Operating System Support for System Call Security. Dimitrios Skarlatos, Qingrong Chen, Jianyan Chen, Tianyin Xu, Josep Torrellas |
| 2020 | Duplo: Lifting Redundant Memory Accesses of Deep Neural Networks for GPU Tensor Cores. Hyeonjin Kim, Sungwoo Ahn, Yunho Oh, Bogil Kim, Won Woo Ro, William J. Song |
| 2020 | FIGARO: Improving System Performance via Fine-Grained In-DRAM Data Relocation and Caching. Yaohua Wang, Lois Orosa, Xiangjun Peng, Yang Guo, Saugata Ghose, Minesh Patel, Jeremie S. Kim, Juan Gómez-Luna, Mohammad Sadrosadati, Nika Mansouri-Ghiasi, Onur Mutlu |
| 2020 | FIdelity: Efficient Resilience Analysis Framework for Deep Learning Accelerators. Yi He, Prasanna Balaprakash, Yanjing Li |
| 2020 | FReaC Cache: Folded-logic Reconfigurable Computing in the Last Level Cache. Ashutosh Dhar, Xiaohao Wang, Hubertus Franke, Jinjun Xiong, Jian Huang, Wen-mei W. Hwu, Nam Sung Kim, Deming Chen |
| 2020 | Fast-BCNN: Massive Neuron Skipping in Bayesian Convolutional Neural Networks. Qiyu Wan, Xin Fu |
| 2020 | FlexWatts: A Power- and Workload-Aware Hybrid Power Delivery Network for Energy-Efficient Microprocessors. Jawad Haj-Yahya, Mohammed Alser, Jeremie S. Kim, Lois Orosa, Efraim Rotem, Avi Mendelson, Anupam Chattopadhyay, Onur Mutlu |
| 2020 | GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference. Ali Hadi Zadeh, Isak Edo, Omar Mohamed Awad, Andreas Moshovos |
| 2020 | Gemini: Learning to Manage CPU Power for Latency-Critical Search Engines. Liang Zhou, Laxmi N. Bhuyan, K. K. Ramakrishnan |
| 2020 | GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis. Damla Senol Cali, Gurpreet S. Kalsi, Zülal Bingöl, Can Firtina, Lavanya Subramanian, Jeremie S. Kim, Rachata Ausavarungnirun, Mohammed Alser, Juan Gómez-Luna, Amirali Boroumand, Anant Nori, Allison Scibisz, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu |
| 2020 | GraphPulse: An Event-Driven Hardware Accelerator for Asynchronous Graph Processing. Shafiur Rahman, Nael B. Abu-Ghazaleh, Rajiv Gupta |
| 2020 | Graphene: Strong yet Lightweight Row Hammer Protection. Yeonhong Park, Woosuk Kwon, Eojin Lee, Tae Jun Ham, Jung Ho Ahn, Jae W. Lee |
| 2020 | Hardware-based Always-On Heap Memory Safety. Yonghae Kim, Jaekyu Lee, Hyesoon Kim |
| 2020 | HyperPlane: A Scalable Low-Latency Notification Accelerator for Software Data Planes. Amirhossein Mirhosseini, Hossein Golestani, Thomas F. Wenisch |
| 2020 | I-SPY: Context-Driven Conditional Instruction Prefetching with Coalescing. Tanvir Ahmed Khan, Akshitha Sriraman, Joseph Devietti, Gilles Pokam, Heiner Litz, Baris Kasikci |
| 2020 | Improving the Utilization of Micro-operation Caches in x86 Processors. Jagadish B. Kotra, John Kalamatianos |
| 2020 | Jumanji: The Case for Dynamic NUCA in the Datacenter. Brian C. Schwedock, Nathan Beckmann |
| 2020 | Locality-Centric Data and Threadblock Management for Massive GPUs. Mahmoud Khairy, Vadim Nikiforov, David W. Nellans, Timothy G. Rogers |
| 2020 | Look-Up Table based Energy Efficient Processing in Cache Support for Neural Network Acceleration. Akshay Krishna Ramanathan, Gurpreet S. Kalsi, Srivatsa Srinivasa, Tarun Makesh Chandran, Kamlesh R. Pillai, Om Ji Omer, Vijaykrishnan Narayanan, Sreenivas Subramoney |
| 2020 | MDM: The GPU Memory Divergence Model. Lu Wang, Magnus Jahre, Almutaz Adileh, Lieven Eeckhout |
| 2020 | MOUSE: Inference In Non-volatile Memory for Energy Harvesting Applications. Salonik Resch, S. Karen Khatamifard, Zamshed I. Chowdhury, Masoud Zabihi, Zhengyang Zhao, M. Hüsrev Cilasun, Jianping Wang, Sachin S. Sapatnekar, Ulya R. Karpuzcu |
| 2020 | MatRaptor: A Sparse-Sparse Matrix Multiplication Accelerator Based on Row-Wise Product. Nitish Kumar Srivastava, Hanchen Jin, Jie Liu, David H. Albonesi, Zhiru Zhang |
| 2020 | Mesorasi: Architecture Support for Point Cloud Analytics via Delayed-Aggregation. Yu Feng, Boyuan Tian, Tiancheng Xu, Paul N. Whatmough, Yuhao Zhu |
| 2020 | More with Less - Deriving More Translation Rules with Less Training Data for DBTs Using Parameterization. Jinhu Jiang, Rongchao Dong, Zhongjun Zhou, Changheng Song, Wenwen Wang, Pen-Chung Yew, Weihua Zhang |
| 2020 | NCPU: An Embedded Neural CPU Architecture on Resource-Constrained Low Power Devices for Real-time End-to-End Performance. Tianyu Jia, Yuhao Ju, Russ Joseph, Jie Gu |
| 2020 | Newton: A DRAM-maker's Accelerator-in-Memory (AiM) Architecture for Machine Learning. Mingxuan He, Choungki Song, Ilkon Kim, Chunseok Jeong, Seho Kim, Il Park, Mithuna Thottethodi, T. N. Vijaykumar |
| 2020 | Non-Blocking Simultaneous Multithreading: Embracing the Resiliency of Deep Neural Networks. Gil Shomron, Uri C. Weiser |
| 2020 | Optimized Quantum Compilation for Near-Term Algorithms with OpenPulse. Pranav Gokhale, Ali Javadi-Abhari, Nathan Earnest, Yunong Shi, Frederic T. Chong |
| 2020 | Optimizing the Memory Hierarchy by Compositing Automatic Transformations on Computations and Data. Jie Zhao, Peng Di |
| 2020 | P-INSPECT: Architectural Support for Programmable Non-Volatile Memory Frameworks. Apostolos Kokolis, Thomas Shull, Jian Huang, Josep Torrellas |
| 2020 | PThammer: Cross-User-Kernel-Boundary Rowhammer through Implicit Accesses. Zhi Zhang, Yueqiang Cheng, Dongxi Liu, Surya Nepal, Zhi Wang, Yuval Yarom |
| 2020 | PerSpectron: Detecting Invariant Footprints of Microarchitectural Attacks with Perceptron. Samira Mirbagher Ajorpaz, Gilles Pokam, Esmaeil Mohammadian Koruyeh, Elba Garza, Nael B. Abu-Ghazaleh, Daniel A. Jiménez |
| 2020 | PerpLE: Improving the Speed and Effectiveness of Memory Consistency Testing. Themis Melissaris, Markos Markakis, Kelly A. Shaw, Margaret Martonosi |
| 2020 | Persist Level Parallelism: Streamlining Integrity Tree Updates for Secure Persistent Memory. Alexander Freij, Shougang Yuan, Huiyang Zhou, Yan Solihin |
| 2020 | Pipette: Improving Core Utilization on Irregular Applications through Intra-Core Pipeline Parallelism. Quan M. Nguyen, Daniel Sánchez |
| 2020 | Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks. Soroush Ghodrati, Byung Hoon Ahn, Joon Kyung Kim, Sean Kinzer, Brahmendra Reddy Yatham, Navateja Alla, Hardik Sharma, Mohammad Alian, Eiman Ebrahimi, Nam Sung Kim, Cliff Young, Hadi Esmaeilzadeh |
| 2020 | Predicting Execution Times With Partial Simulations in Virtual Memory Research: Why and How. Mohammad Agbarya, Idan Yaniv, Jayneel Gandhi, Dan Tsafrir |
| 2020 | Printed Machine Learning Classifiers. Muhammad Husnain Mubarik, Dennis D. Weller, Nathaniel Bleier, Matthew Tomei, Jasmin Aghassi-Hagmann, Mehdi B. Tahoori, Rakesh Kumar |
| 2020 | Procrustes: a Dataflow and Accelerator for Sparse Deep Neural Network Training. Dingqing Yang, Amin Ghasemazar, Xiaowei Ren, Maximilian Golub, Guy Lemieux, Mieszko Lis |
| 2020 | Ptolemy: Architecture Support for Robust Deep Learning. Yiming Gan, Yuxian Qiu, Jingwen Leng, Minyi Guo, Yuhao Zhu |
| 2020 | RnR: A Software-Assisted Record-and-Replay Hardware Prefetcher. Chao Zhang, Yuan Zeng, John Shalf, Xiaochen Guo |
| 2020 | SAVE: Sparsity-Aware Vector Engine for Accelerating DNN Training and Inference on CPUs. Zhangxiaowen Gong, Houxiang Ji, Christopher W. Fletcher, Christopher J. Hughes, Sara S. Baghsorkhi, Josep Torrellas |
| 2020 | SeedEx: A Genome Sequencing Accelerator for Optimal Alignments in Subminimal Space. Daichi Fujiki, Shunhao Wu, Nathan Ozog, Kush Goliya, David T. Blaauw, Satish Narayanasamy, Reetuparna Das |
| 2020 | Selective Replication in Memory-Side GPU Caches. Xia Zhao, Magnus Jahre, Lieven Eeckhout |
| 2020 | Shaving Retries with Sentinels for Fast Read over High-Density 3D Flash. Qiao Li, Min Ye, Yufei Cui, Liang Shi, Xiaoqiang Li, Tei-Wei Kuo, Chun Jason Xue |
| 2020 | Speculation Invariance (InvarSpec): Faster Safe Execution Through Program Analysis. Zirui Neil Zhao, Houxiang Ji, Mengjia Yan, Jiyong Yu, Christopher W. Fletcher, Adam Morrison, Darko Marinov, Josep Torrellas |
| 2020 | Speculative Enforcement of Store Atomicity. Alberto Ros, Stefanos Kaxiras |
| 2020 | SuperNPU: An Extremely Fast Neural Processing Unit Using Superconducting Logic Devices. Koki Ishida, Ilkwon Byun, Ikki Nagaoka, Kosuke Fukumitsu, Masamitsu Tanaka, Satoshi Kawakami, Teruo Tanimoto, Takatsugu Ono, Jangwoo Kim, Koji Inoue |
| 2020 | Systematic Crosstalk Mitigation for Superconducting Qubits via Frequency-Aware Compilation. Yongshan Ding, Pranav Gokhale, Sophia Fuhui Lin, Richard Rines, Thomas Propson, Frederic T. Chong |
| 2020 | TFE: Energy-efficient Transferred Filter-based Engine to Compress and Accelerate Convolutional Neural Networks. Huiyu Mo, Leibo Liu, Wenjing Hu, Wenping Zhu, Qiang Li, Ang Li, Shouyi Yin, Jian Chen, Xiaowei Jiang, Shaojun Wei |
| 2020 | TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training. Mostafa Mahmoud, Isak Edo, Ali Hadi Zadeh, Omar Mohamed Awad, Gennady Pekhimenko, Jorge Albericio, Andreas Moshovos |
| 2020 | ThymesisFlow: A Software-Defined, HW/SW co-Designed Interconnect Stack for Rack-Scale Memory Disaggregation. Christian Pinto, Dimitris Syrivelis, Michele Gazzetti, Panos K. Koutsovasilis, Andrea Reale, Kostas Katrinis, H. Peter Hofstee |
| 2020 | TrainBox: An Extreme-Scale Neural Network Training Server Architecture by Systematically Balancing Operations. Pyeongsu Park, Heetaek Jeong, Jangwoo Kim |
| 2020 | Unbounded Hardware Transactional Memory for a Hybrid DRAM/NVM Memory System. Jungi Jeong, Jaewan Hong, Seungryoul Maeng, Changhee Jung, Youngjin Kwon |
| 2020 | VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration. Zhuoran Song, Feiyang Wu, Xueyuan Liu, Jing Ke, Naifeng Jing, Xiaoyao Liang |
| 2020 | Virtualized Logical Qubits: A 2.5D Architecture for Error-Corrected Quantum Computing. Casey Duckering, Jonathan M. Baker, David I. Schuster, Frederic T. Chong |
| 2020 | gem5-SALAM: A System Architecture for LLVM-based Accelerator Modeling. Samuel Rogers, Joshua Slycord, Mohammadreza Baharani, Hamed Tabkhi |