| 2019 | A Case for Multi-Programming Quantum Computers. Poulami Das, Swamit S. Tannu, Prashant J. Nair, Moinuddin K. Qureshi |
| 2019 | ASV: Accelerated Stereo Vision System. Yu Feng, Paul N. Whatmough, Yuhao Zhu |
| 2019 | Adding Tightly-Integrated Task Scheduling Acceleration to a RISC-V Multi-core Processor. Lucas Morais, Vitor Silva, Alfredo Goldman, Carlos Álvarez, Jaume Bosch, Michael Frank, Guido Araujo |
| 2019 | Alleviating Irregularity in Graph Analytics Acceleration: a Hardware/Software Co-Design Approach. Mingyu Yan, Xing Hu, Shuangchen Li, Abanti Basak, Han Li, Xin Ma, Itir Akgun, Yujing Feng, Peng Gu, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie |
| 2019 | Applying Deep Learning to the Cache Replacement Problem. Zhan Shi, Xiangru Huang, Akanksha Jain, Calvin Lin |
| 2019 | Architectural Implications of Function-as-a-Service Computing. Mohammad Shahrad, Jonathan Balkind, David Wentzlaff |
| 2019 | Binary Star: Coordinated Reliability in Heterogeneous Memory Systems for High Performance and Scalability. Xiao Liu, David Roberts, Rachata Ausavarungnirun, Onur Mutlu, Jishen Zhao |
| 2019 | Boosting the Performance of CNN Accelerators with Dynamic Fine-Grained Channel Gating. Weizhe Hua, Yuan Zhou, Christopher De Sa, Zhiru Zhang, G. Edward Suh |
| 2019 | CASCADE: Connecting RRAMs to Extend Analog Dataflow In An End-To-End In-Memory Processing Paradigm. Teyuh Chou, Wei Tang, Jacob Botimer, Zhengya Zhang |
| 2019 | CHERIvoke: Characterising Pointer Revocation using CHERI Capabilities for Temporal Memory Safety. Hongyan Xia, Jonathan Woodruff, Sam Ainsworth, Nathaniel Wesley Filardo, Michael Roe, Alexander Richardson, Peter Rugg, Peter G. Neumann, Simon W. Moore, Robert N. M. Watson, Timothy M. Jones |
| 2019 | Charon: Specialized Near-Memory Processing Architecture for Clearing Dead Objects in Memory. Jaeyoung Jang, Jun Heo, Yejin Lee, Jaeyeon Won, Seonghak Kim, Sungjun Jung, Hakbeom Jang, Tae Jun Ham, Jae W. Lee |
| 2019 | CleanupSpec: An "Undo" Approach to Safe Speculation. Gururaj Saileshwar, Moinuddin K. Qureshi |
| 2019 | CoSpec: Compiler Directed Speculative Intermittent Computation. Jongouk Choi, Qingrui Liu, Changhee Jung |
| 2019 | ComputeDRAM: In-Memory Compute Using Off-the-Shelf DRAMs. Fei Gao, Georgios Tziantzioulis, David Wentzlaff |
| 2019 | Constructing Large, Durable and Fast SSD System via Reprogramming 3D TLC Flash Memory. Congming Gao, Min Ye, Qiao Li, Chun Jason Xue, Youtao Zhang, Liang Shi, Jun Yang |
| 2019 | Cyclone: Detecting Contention-Based Cache Information Leaks Through Cyclic Interference. Austin Harris, Shijia Wei, Prateek Sahu, Pranav Kumar, Todd M. Austin, Mohit Tiwari |
| 2019 | DSPatch: Dual Spatial Pattern Prefetcher. Rahul Bera, Anant V. Nori, Onur Mutlu, Sreenivas Subramoney |
| 2019 | DeepStore: In-Storage Acceleration for Intelligent Queries. Vikram Sharma Mailthody, Zaid Qureshi, Weixin Liang, Ziyan Feng, Simon Garcia De Gonzalo, Youjie Li, Hubertus Franke, Jinjun Xiong, Jian Huang, Wen-Mei Hwu |
| 2019 | Directed Statistical Warming through Time Traveling. Nikos Nikoleris, Lieven Eeckhout, Erik Hagersten, Trevor E. Carlson |
| 2019 | Distilling the Essence of Raw Video to Reduce Memory Usage and Energy at Edge Devices. Haibo Zhang, Shulin Zhao, Ashutosh Pattnaik, Mahmut T. Kandemir, Anand Sivasubramaniam, Chita R. Das |
| 2019 | Distributed Logless Atomic Durability with Persistent Memory. Siddharth Gupta, Alexandros Daglis, Babak Falsafi |
| 2019 | DynaSprint: Microarchitectural Sprints with Dynamic Utility and Thermal Management. Ziqiang Huang, José A. Joao, Alejandro Rico, Andrew D. Hilton, Benjamin C. Lee |
| 2019 | Dynamic Multi-Resolution Data Storage. Yu-Ching Hu, Murtuza Taher Lokhandwala, Te I, Hung-Wei Tseng |
| 2019 | EDEN: Enabling Energy-Efficient, High-Performance Deep Neural Network Inference Using Approximate DRAM. Skanda Koppula, Lois Orosa, Abdullah Giray Yaglikçi, Roknoddin Azizi, Taha Shahroodi, Konstantinos Kanellopoulos, Onur Mutlu |
| 2019 | EMI Architectural Model and Core Hopping. Daphne I. Gorman, Rafael Trapani Possignolo, Jose Renau |
| 2019 | EMMA: Hardware/Software Attestation Framework for Embedded Systems Using Electromagnetic Signals. Nader Sehatbakhsh, Alireza Nazari, Haider Adnan Khan, Alenka G. Zajic, Milos Prvulovic |
| 2019 | Efficient SpMV Operation for Large and Highly Sparse Matrices using Scalable Multi-way Merge Parallelization. Fazle Sadi, Joe Sweeney, Tze Meng Low, James C. Hoe, Larry T. Pileggi, Franz Franchetti |
| 2019 | Ensemble of Diverse Mappings: Improving Reliability of Quantum Computers by Orchestrating Dissimilar Mistakes. Swamit S. Tannu, Moinuddin K. Qureshi |
| 2019 | ExTensor: An Accelerator for Sparse Tensor Algebra. Kartik Hegde, Hadi Asghari Moghaddam, Michael Pellauer, Neal Clayton Crago, Aamer Jaleel, Edgar Solomonik, Joel S. Emer, Christopher W. Fletcher |
| 2019 | Exploiting Process Similarity of 3D Flash Memory for High Performance SSDs. Youngseop Shim, Myungsuk Kim, Myoungjun Chun, Jisung Park, Yoona Kim, Jihong Kim |
| 2019 | FIDR: A Scalable Storage System for Fine-Grain Inline Data Reduction with Efficient Memory Handling. Mohammadamin Ajdari, Wonsik Lee, Pyeongsu Park, Joonsung Kim, Jangwoo Kim |
| 2019 | FPGA-Accelerated Optimistic Concurrency Control for Transactional Memory. Zhaoshi Li, Leibo Liu, Yangdong Deng, Jiawei Wang, Zhiwei Liu, Shouyi Yin, Shaojun Wei |
| 2019 | FlexLearn: Fast and Highly Efficient Brain Simulations Using Flexible On-Chip Learning. Eunjin Baek, Hunjun Lee, Youngsok Kim, Jangwoo Kim |
| 2019 | GenCache: Leveraging In-Cache Operators for Efficient Sequence Alignment. Anirban Nag, C. N. Ramachandra, Rajeev Balasubramonian, Ryan Stutsman, Edouard Giacomin, Hari Kambalasubramanyam, Pierre-Emmanuel Gaillardon |
| 2019 | GraphQ: Scalable PIM-Based Graph Processing. Youwei Zhuo, Chao Wang, Mingxing Zhang, Rui Wang, Dimin Niu, Yanzhi Wang, Xuehai Qian |
| 2019 | InvisiSpec: Making Speculative Execution Invisible in the Cache Hierarchy (Corrigendum). Mengjia Yan, Jiho Choi, Dimitrios Skarlatos, Adam Morrison, Christopher W. Fletcher, Josep Torrellas |
| 2019 | LATCH: A Locality-Aware Taint CHecker. Daniel Townley, Khaled N. Khasawneh, Dmitry Ponomarev, Nael B. Abu-Ghazaleh, Lei Yu |
| 2019 | Leveraging Caches to Accelerate Hash Tables and Memoization. Guowei Zhang, Daniel Sánchez |
| 2019 | MANIC: A Vector-Dataflow Architecture for Ultra-Low-Power Embedded Systems. Graham Gobieski, Amolak Nagi, Nathan Serafin, Mehmet Meric Isgenc, Nathan Beckmann, Brandon Lucia |
| 2019 | MEDAL: Scalable DIMM based Near Data Processing Accelerator for DNA Seeding Algorithm. Wenqin Huangfu, Xueqi Li, Shuangchen Li, Xing Hu, Peng Gu, Yuan Xie |
| 2019 | MI6: Secure Enclaves in a Speculative Out-of-Order Processor. Thomas Bourgeat, Ilia A. Lebedev, Andrew Wright, Sizhuo Zhang, Arvind, Srinivas Devadas |
| 2019 | Manna: An Accelerator for Memory-Augmented Neural Networks. Jacob R. Stevens, Ashish Ranjan, Dipankar Das, Bharat Kaul, Anand Raghunathan |
| 2019 | MaxNVM: Maximizing DNN Storage Density and Inference Efficiency with Sparse Encoding and Error Mitigation. Lillian Pentecost, Marco Donato, Brandon Reagen, Udit Gupta, Siming Ma, Gu-Yeon Wei, David Brooks |
| 2019 | Mitigating Measurement Errors in Quantum Computers by Exploiting State-Dependent Bias. Swamit S. Tannu, Moinuddin K. Qureshi |
| 2019 | NDA: Preventing Speculative Execution Attacks at Their Source. Ofir Weisse, Ian Neal, Kevin Loughlin, Thomas F. Wenisch, Baris Kasikci |
| 2019 | NVBit: A Dynamic Binary Instrumentation Framework for NVIDIA GPUs. Oreste Villa, Mark Stephenson, David W. Nellans, Stephen W. Keckler |
| 2019 | NetDIMM: Low-Latency Near-Memory Network Interface Architecture. Mohammad Alian, Nam Sung Kim |
| 2019 | Neuron-Level Fuzzy Memoization in RNNs. Franyell Silfa, Gem Dot, José-María Arnau, Antonio González |
| 2019 | PHI: Architectural Support for Synchronization- and Bandwidth-Efficient Commutative Scatter Updates. Anurag Mukkara, Nathan Beckmann, Daniel Sánchez |
| 2019 | PUSh: Data Race Detection Based on Hardware-Supported Prevention of Unintended Sharing. Diyu Zhou, Yuval Tamir |
| 2019 | Partial Compilation of Variational Algorithms for Noisy Intermediate-Scale Quantum Machines. Pranav Gokhale, Yongshan Ding, Thomas Propson, Christopher Winkler, Nelson Leung, Yunong Shi, David I. Schuster, Henry Hoffmann, Frederic T. Chong |
| 2019 | Practical Byte-Granular Memory Blacklisting using Califorms. Hiroshi Sasaki, Miguel A. Arroyo, M. Tarek Ibn Ziad, Koustubha Bhat, Kanad Sinha, Simha Sethumadhavan |
| 2019 | Prefetched Address Translation. Artemiy Margaritov, Dmitrii Ustiugov, Edouard Bugnion, Boris Grot |
| 2019 | Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2019, Columbus, OH, USA, October 12-16, 2019. |
| 2019 | Quantifying Memory Underutilization in HPC Systems and Using it to Improve Performance via Architecture Support. Gagandeep Panwar, Da Zhang, Yihan Pang, Mai Dahshan, Nathan DeBardeleben, Binoy Ravindran, Xun Jian |
| 2019 | SMASH: Co-designing Software Compression and Hardware-Accelerated Indexing for Efficient Sparse Matrix Operations. Konstantinos Kanellopoulos, Nandita Vijaykumar, Christina Giannoula, Roknoddin Azizi, Skanda Koppula, Nika Mansouri-Ghiasi, Taha Shahroodi, Juan Gómez-Luna, Onur Mutlu |
| 2019 | SOSA: Self-Optimizing Learning with Self-Adaptive Control for Hierarchical System-on-Chip Management. Bryan Donyanavard, Tiago Mück, Amir M. Rahmani, Nikil D. Dutt, Armin Sadighi, Florian Maurer, Andreas Herkersdorf |
| 2019 | SSP: Eliminating Redundant Writes in Failure-Atomic NVRAMs via Shadow Sub-Paging. Yuanjiang Ni, Jishen Zhao, Heiner Litz, Daniel Bittman, Ethan L. Miller |
| 2019 | SWAP: Synchronized Weaving of Adjacent Packets for Network Deadlock Resolution. Mayank Parasar, Natalie D. Enright Jerger, Paul V. Gratz, Joshua San Miguel, Tushar Krishna |
| 2019 | SWQUE: A Mode Switching Issue Queue with Priority-Correcting Circular Queue. Hideki Ando |
| 2019 | ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning. Alberto Delmas Lascorz, Sayeh Sharify, Isak Edo Vivancos, Dylan Malone Stuart, Omar Mohamed Awad, Patrick Judd, Mostafa Mahmoud, Milos Nikolic, Kevin Siu, Zissis Poulos, Andreas Moshovos |
| 2019 | Simba: Scaling Deep-Learning Inference with Multi-Chip-Module-Based Architecture. Yakun Sophia Shao, Jason Clemons, Rangharajan Venkatesan, Brian Zimmer, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel S. Emer, C. Thomas Gray, Brucek Khailany, Stephen W. Keckler |
| 2019 | Simmani: Runtime Power Modeling for Arbitrary RTL with Automatic Signal Selection. Donggyu Kim, Jerry Zhao, Jonathan Bachrach, Krste Asanovic |
| 2019 | SparTen: A Sparse Tensor Accelerator for Convolutional Neural Networks. Ashish Gondimalla, Noah Chesnut, Mithuna Thottethodi, T. N. Vijaykumar |
| 2019 | Sparse Tensor Core: Algorithm and Hardware Co-Design for Vector-wise Sparse Neural Networks on Modern GPUs. Maohua Zhu, Tao Zhang, Zhenyu Gu, Yuan Xie |
| 2019 | Speculative Taint Tracking (STT): A Comprehensive Protection for Speculatively Accessed Data. Jiyong Yu, Mengjia Yan, Artem Khyzha, Adam Morrison, Josep Torrellas, Christopher W. Fletcher |
| 2019 | SuperMem: Enabling Application-transparent Secure Persistent Memory with Low Overheads. Pengfei Zuo, Yu Hua, Yuan Xie |
| 2019 | Tangram: Integrated Control of Heterogeneous Computers. Raghavendra Pradyumna Pothukuchi, Joseph L. Greathouse, Karthik Rao, Christopher Erb, Leonardo Piga, Petros G. Voulgaris, Josep Torrellas |
| 2019 | Temporal Prefetching Without the Off-Chip Metadata. Hao Wu, Krishnendra Nathella, Joseph Pusdesris, Dam Sunwoo, Akanksha Jain, Calvin Lin |
| 2019 | TensorDIMM: A Practical Near-Memory Processing Architecture for Embeddings and Tensor Operations in Deep Learning. Youngeun Kwon, Yunjae Lee, Minsoo Rhu |
| 2019 | Tigris: Architecture and Algorithms for 3D Perception in Point Clouds. Tiancheng Xu, Boyuan Tian, Yuhao Zhu |
| 2019 | Touché: Towards Ideal and Efficient Cache Compression By Mitigating Tag Area Overheads. Seokin Hong, Bülent Abali, Alper Buyuktosunoglu, Michael B. Healy, Prashant J. Nair |
| 2019 | Towards Efficient NVDIMM-based Heterogeneous Storage Hierarchy Management for Big Data Workloads. Renhai Chen, Zili Shao, Duo Liu, Zhiyong Feng, Tao Li |
| 2019 | Towards General Purpose Acceleration by Exploiting Common Data-Dependence Forms. Vidushi Dadu, Jian Weng, Sihao Liu, Tony Nowatzki |
| 2019 | Towards the adoption of Local Branch Predictors in Modern Out-of-Order Superscalar Processors. Niranjan Soundararajan, Saurabh Gupta, Ragavendra Natarajan, Jared Stark, Rahul Pal, Franck Sala, Lihu Rappoport, Adi Yoaz, Sreenivas Subramoney |
| 2019 | Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow: A Data-Centric Approach. Hyoukjun Kwon, Prasanth Chatarasi, Michael Pellauer, Angshuman Parashar, Vivek Sarkar, Tushar Krishna |
| 2019 | Wire-Aware Architecture and Dataflow for CNN Accelerators. Sumanth Gudaparthi, Surya Narayanan, Rajeev Balasubramonian, Edouard Giacomin, Hari Kambalasubramanyam, Pierre-Emmanuel Gaillardon |
| 2019 | ZCOMP: Reducing DNN Cross-Layer Memory Footprint Using Vector Extensions. Berkin Akin, Zeshan A. Chishti, Alaa R. Alameldeen |
| 2019 | eAP: A Scalable and Efficient In-Memory Accelerator for Automata Processing. Elaheh Sadredini, Reza Rahimi, Vaibhav Verma, Mircea Stan, Kevin Skadron |
| 2019 | eCNN: A Block-Based and Highly-Parallel CNN Accelerator for Edge Inference. Chao-Tsung Huang, Yu-Chun Ding, Huan-Ching Wang, Chi-Wen Weng, Kai-Ping Lin, Li-Wei Wang, Li-De Chen |
| 2019 | μIR -An intermediate representation for transforming and optimizing the microarchitecture of application accelerators. Amirali Sharifian, Reza Hojabr, Navid Rahimi, Sihao Liu, Apala Guha, Tony Nowatzki, Arrvindh Shriraman |