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International Symposium on High Performance Computer Architecture

HPCA

A*

CORE rank

CORE rank (raw)

A*

Fields of research

Computer Systems Engineering · Distributed Computing and Systems Software

Papers indexed

1,671

1995–2026

Papers per year

1995122 peak2026

HPCA papers

1,671 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2022Mithril: Cooperative Row Hammer Protection on Commodity DRAM Leveraging Managed Refresh.Michael Jaemin Kim, Jaehyun Park, Yeonhong Park, Wanju Doh, Namhoon Kim, Tae Jun Ham, Jae W. Lee, Jung Ho Ahn
2022Exploiting Inter-block Entropy to Enhance the Compressibility of Blocks with Diverse Data.Jinkwon Kim, Mincheol Kang, Jeongkyu Hong, Soontae Kim
2022DPrime+DAbort: A High-Precision and Timer-Free Directory-Based Side-Channel Attack in Non-Inclusive Cache Hierarchies using Intel TSX.Sowoong Kim, Myeonggyun Han, Woongki Baek
2022Hercules: Heterogeneity-Aware Inference Serving for At-Scale Personalized Recommendation.Liu Ke, Udit Gupta, Mark Hempstead, Carole-Jean Wu, Hsien-Hsin S. Lee, Xuan Zhang
2022MAGMA: An Optimization Framework for Mapping Multiple DNNs on Multiple Accelerator Cores.Sheng-Chun Kao, Tushar Krishna
2022TCOR: A Tile Cache with Optimal Replacement.Diya Joseph, Juan L. Aragn, Joan-Manuel Parcerisa, Antonio Gonzlez
2022DigiQ: A Scalable Digital Controller for Quantum Computers Using SFQ Logic.Mohammad Reza Jokar, Richard Rines, Ghasem Pasandi, Haolin Cong, Adam Holmes, Yunong Shi, Massoud Pedram, Frederic T. Chong
2022Reducing Load Latency with Cache Level Prediction.Majid Jalili, Mattan Erez
2022Accelerating Graph Convolutional Networks Using Crossbar-based Processing-In-Memory Architectures.Yu Huang, Long Zheng, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin, Jingling Xue
2022CAMA: Energy and Memory Efficient Automata Processing in Content-Addressable Memories.Yi Huang, Zhiyu Chen, Dai Li, Kaiyuan Yang
2022DarkGates: A Hybrid Power-Gating Architecture to Mitigate the Performance Impact of Dark-Silicon in High Performance Processors.Jawad Haj-Yahya, Jeremie S. Kim, Abdullah Giray Yagliki, Jisung Park, Efraim Rotem, Yanos Sazeides, Onur Mutlu
2022CANDLES: Channel-Aware Novel Dataflow-Microarchitecture Co-Design for Low Energy Sparse Neural Network Acceleration.Sumanth Gudaparthi, Sarabjeet Singh, Surya Narayanan, Rajeev Balasubramonian, Visvesh Sathe
2022Stay in your Lane: A NoC with Low-overhead Multi-packet Bypassing.Hossein Farrokhbakht, Paul V. Gratz, Tushar Krishna, Joshua San Miguel, Natalie D. Enright Jerger
2022SafeGuard: Reducing the Security Risk from Row-Hammer via Low-Cost Integrity Protection.Ali Fakhrzadehgan, Yale N. Patt, Prashant J. Nair, Moinuddin K. Qureshi
2022FastTrackNoC: A NoC with FastTrack Router Datapaths.Ahsen Ejaz, Ioannis Sourdis
2022Direct Spatial Implementation of Sparse Matrix Multipliers for Reservoir Computing.Matthew Denton, Herman Schmit
2022Leaky Frontends: Security Vulnerabilities in Processor Frontends.Shuwen Deng, Bowen Huang, Jakub Szefer
2022AFS: Accurate, Fast, and Scalable Error-Decoding for Fault-Tolerant Quantum Computers.Poulami Das, Christopher A. Pattison, Srilatha Manne, Douglas M. Carmean, Krysta M. Svore, Moinuddin K. Qureshi, Nicolas Delfosse
2022GPU Subwarp Interleaving.Sana Damani, Mark Stephenson, Ram Rangan, Daniel R. Johnson, Rishkul Kulkami, Stephen W. Keckler
2022Only Buffer When You Need To: Reducing On-chip GPU Traffic with Reconfigurable Local Atomic Buffers.Preyesh Dalmia, Rohan Mahapatra, Matthew D. Sinclair
2022Abusing Cache Line Dirty States to Leak Information in Commercial Processors.Yujie Cui, Chun Yang, Xu Cheng
2022ReGNN: A Redundancy-Eliminated Graph Neural Networks Accelerator.Cen Chen, Kenli Li, Yangfan Li, Xiaofeng Zou
2022PIMCloud: QoS-Aware Resource Management of Latency-Critical Applications in Clouds with Processing-in-Memory.Shuang Chen, Yi Jiang, Christina Delimitrou, Jos F. Martnez
2022ReTail: Opting for Learning Simplicity to Enable QoS-Aware Power Management in the Cloud.Shuang Chen, Angela Jin, Christina Delimitrou, Jos F. Martnez
2022CoopMC: Algorithm-Architecture Co-Optimization for Markov Chain Monte Carlo Accelerators.Yuji Chai, Glenn G. Ko, Wei-Te Mark Ting, Luke Bailey, David Brooks, Gu-Yeon Wei
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Comparable venues

Other A*/A conferences filed under the same field of research.