ISCA 2020 — accepted papers
ISCA 2020 is the 2020 edition of the ACM/IEEE International Symposium on Computer Architecture (ISCA). OpenAlex lists 94 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.
Most cited papers
- MLPerf Inference Benchmark ↗Vijay Janapa Reddi, Christine Cheng, David E. Kanter et al.505 citations
- Accel-Sim: An Extensible Simulation Framework for Validated GPU ModelingMahmoud Khairy, Zhesheng Shen, Tor M. Aamodt et al.364 citations · our summary
- RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing ↗Liu Ke, Udit Gupta, Benjamin Youngjae Cho et al.235 citations
- DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference ↗Udit Gupta, Samuel Hsia, Vikram Saraph et al.173 citations
- Revisiting RowHammer: An Experimental Analysis of Modern DRAM Devices and Mitigation Techniques ↗Jeremie S. Kim, Minesh Patel, A. Giray Yağlıkçı et al.160 citations
- DSAGEN: Synthesizing Programmable Spatial Accelerators ↗Jian Weng, Sihao Liu, Vidushi Dadu et al.138 citations
- SpinalFlow: An Architecture and Dataflow Tailored for Spiking Neural Networks ↗Surya Narayanan, Karl Taht, Rajeev Balasubramonian et al.121 citations
- Xuantie-910: A Commercial Multi-Core 12-Stage Pipeline Out-of-Order 64-bit High Performance RISC-V Processor with Vector Extension : Industrial Product ↗Chen Chen, Xiaoyan Xiang, Chang Liu et al.115 citations
- A Multi-Neural Network Acceleration Architecture ↗Eunjin Baek, Dongup Kwon, Jangwoo Kim107 citations
- Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations ↗Ranggi Hwang, Taehun Kim, Youngeun Kwon et al.99 citations
All accepted papers (94)
- MLPerf Inference Benchmark ↗Vijay Janapa Reddi, Christine Cheng, David E. Kanter et al.505 citations
- Accel-Sim: An Extensible Simulation Framework for Validated GPU ModelingMahmoud Khairy, Zhesheng Shen, Tor M. Aamodt et al.364 citations · our summary
- RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing ↗Liu Ke, Udit Gupta, Benjamin Youngjae Cho et al.235 citations
- DeepRecSys: A System for Optimizing End-To-End At-Scale Neural Recommendation Inference ↗Udit Gupta, Samuel Hsia, Vikram Saraph et al.173 citations
- Revisiting RowHammer: An Experimental Analysis of Modern DRAM Devices and Mitigation Techniques ↗Jeremie S. Kim, Minesh Patel, A. Giray Yağlıkçı et al.160 citations
- DSAGEN: Synthesizing Programmable Spatial Accelerators ↗Jian Weng, Sihao Liu, Vidushi Dadu et al.138 citations
- SpinalFlow: An Architecture and Dataflow Tailored for Spiking Neural Networks ↗Surya Narayanan, Karl Taht, Rajeev Balasubramonian et al.121 citations
- Xuantie-910: A Commercial Multi-Core 12-Stage Pipeline Out-of-Order 64-bit High Performance RISC-V Processor with Vector Extension : Industrial Product ↗Chen Chen, Xiaoyan Xiang, Chang Liu et al.115 citations
- A Multi-Neural Network Acceleration Architecture ↗Eunjin Baek, Dongup Kwon, Jangwoo Kim107 citations
- Centaur: A Chiplet-based, Hybrid Sparse-Dense Accelerator for Personalized Recommendations ↗Ranggi Hwang, Taehun Kim, Youngeun Kwon et al.99 citations
- Bouquet of Instruction Pointers: Instruction Pointer Classifier-based Spatial Hardware Prefetching ↗Samuel Pakalapati, Biswabandan Panda97 citations
- DRQ: Dynamic Region-based Quantization for Deep Neural Network Acceleration ↗Zhuoran Song, Bangqi Fu, Feiyang Wu et al.91 citations
- Think Fast: A Tensor Streaming Processor (TSP) for Accelerating Deep Learning Workloads ↗Dennis Abts, Jonathan Ross, Jonathan Sparling et al.91 citations
- Timely: Pushing Data Movements And Interfaces In Pim Accelerators Towards Local And In Time Domain ↗Weitao Li, Pengfei Xu, Yang Katie Zhao et al.89 citations
- NISQ+: Boosting quantum computing power by approximating quantum error correction ↗Adam A. Holmes, Mohammad Reza Jokar, Ghasem Pasandi et al.87 citations
- Architecting Noisy Intermediate-Scale Trapped Ion Quantum Computers ↗Prakash Murali, Dripto M. Debroy, Kenneth R. Brown et al.77 citations
- iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture ↗Peng Gu, Xinfeng Xie, Yufei Ding et al.77 citations
- Evolution of the Samsung Exynos CPU Microarchitecture ↗Brian Grayson, Jeff Rupley, Gerald D Zuraski et al.72 citations
- MuonTrap: Preventing Cross-Domain Spectre-Like Attacks by Capturing Speculative State ↗Sam Ainsworth, Timothy M. Jones68 citations
- An In-Network Architecture for Accelerating Shared-Memory Multiprocessor Collectives ↗Benjamin Klenk, Nan Jiang, Greg Thorson et al.67 citations
- GaaS-X: Graph Analytics Accelerator Supporting Sparse Data Representation using Crossbar Architectures ↗Nagadastagiri Reddy Challapalle, Sahithi Rampalli, Linghao Song et al.67 citations
- UGEMM: Unary Computing Architecture for GEMM Applications ↗Di Wu, Jingjie Li, Ruokai Yin et al.67 citations
- CLR-DRAM: A Low-Cost DRAM Architecture Enabling Dynamic Capacity-Latency Trade-Off ↗Haocong Luo, Taha Shahroodi, Hasan Hassan et al.64 citations
- Buddy Compression: Enabling Larger Memory for Deep Learning and HPC Workloads on GPUs ↗Esha Choukse, Michael B. Sullivan, Mike O’Connor et al.57 citations
- NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs ↗Sonali Singh, Anup Sarma, Nicholas Jao et al.54 citations
See all 94 papers in ISCA 2020 — accepted papers →
Papers with our summary in our library (1)
- Accel-Sim: An Extensible Simulation Framework for Validated GPU ModelingACM/IEEE International Symposium on Computer Architecture (ISCA)Mahmoud Khairy, Zhesheng Shen, Tor M. Aamodt, et al.2020 · 447 citations
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🎓University of British ColumbiaVancouver ·
Canada1 work here🎓Purdue University West LafayetteWest Lafayette ·
United States1 work here
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