Skip to content

ACM International Symposium on Computer Architecture

ISCA

A*

CORE rank

CORE rank (raw)

A*

Acceptance rate

19.0% (2024)

Fields of research

Computer Systems Engineering · Distributed Computing and Systems Software · Software Engineering

Papers indexed

2,833

1973–2026

Papers per year

1973172 peak2026

ISCA papers

2,833 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2023HAAC: A Hardware-Software Co-Design to Accelerate Garbled Circuits.Jianqiao Mo, Jayanth Gopinath, Brandon Reagen
2023QIsim: Architecting 10+K Qubit QC Interfaces Toward Quantum Supremacy.Dongmoon Min, Junpyo Kim, Junhyuk Choi, Ilkwon Byun, Masamitsu Tanaka, Koji Inoue, Jangwoo Kim
2023Parallel Driving for Fast Quantum Computing Under Speed Limits.Evan McKinney, Chao Zhou, Mingkang Xia, Michael Hatridge, Alex K. Jones
2023Scaling Qubit Readout with Hardware Efficient Machine Learning Architectures.Satvik Maurya, Chaithanya Naik Mude, William D. Oliver, Benjamin Lienhard, Swamit S. Tannu
2023Nimblock: Scheduling for Fine-grained FPGA Sharing through Virtualization.Meghna Mandava, Paul Reckamp, Deming Chen
2023LeCA: In-Sensor Learned Compressive Acquisition for Efficient Machine Vision on the Edge.Tianrui Ma, Adith Jagadish Boloor, Xiangxing Yang, Weidong Cao, Patrick Williams, Nan Sun, Ayan Chakrabarti, Xuan Zhang
2023CAMJ: Enabling System-Level Energy Modeling and Architectural Exploration for In-Sensor Visual Computing.Tianrui Ma, Yu Feng, Xuan Zhang, Yuhao Zhu
2023RowPress: Amplifying Read Disturbance in Modern DRAM Chips.Haocong Luo, Ataberk Olgun, Abdullah Giray Yagliki, Yahya Can Tugrul, Steve Rhyner, Meryem Banu Cavlak, Jol Lindegger, Mohammad Sadrosadati, Onur Mutlu
2023A Research Retrospective on AMD's Exascale Computing Journey.Gabriel H. Loh, Michael J. Schulte, Mike Ignatowski, Vignesh Adhinarayanan, Shaizeen Aga, Derrick Aguren, Varun Agrawal, Ashwin M. Aji, Johnathan Alsop, Paul T. Bauman, Bradford M. Beckmann, Majed Valad Beigi, Sergey Blagodurov, Travis Boraten, Michael Boyer, William C. Brantley, Noel Chalmers, Shaoming Chen, Kevin Cheng, Michael L. Chu, David Cownie, Nicholas Curtis, Joris Del Pino, Nam Duong, Alexandru Dutu, Yasuko Eckert, Christopher Erb, Chip Freitag, Joseph L. Greathouse, Sudhanva Gurumurthi, Anthony Gutierrez, Khaled Hamidouche, Sachin Hossamani, Wei Huang, Mahzabeen Islam, Nuwan Jayasena, John Kalamatianos, Onur Kayiran, Jagadish Kotra, Alan Lee, Daniel Lowell, Niti Madan, Abhinandan Majumdar, Nicholas Malaya, Srilatha Manne, Susumu Mashimo, Damon McDougall, Elliot Mednick, Michael Mishkin, Mark Nutter, Indrani Paul, Matthew Poremba, Brandon Potter, Kishore Punniyamurthy, Sooraj Puthoor, Steven E. Raasch, Karthik Rao, Gregory Rodgers, Marko Scrbak, Mohammad Seyedzadeh, John Slice, Vilas Sridharan, Ren van Oostrum, Eric Van Tassell, Abhinav Vishnu, Samuel Wasmundt, Mark Wilkening, Noah Wolfe, Mark Wyse, Adithya Yalavarti, Dmitri Yudanov
2023FDMAX: An Elastic Accelerator Architecture for Solving Partial Differential Equations.Jiajun Li, Yuxuan Zhang, Hao Zheng, Ke Wang
2023Accelerating Personalized Recommendation with Cross-level Near-Memory Processing.Haifeng Liu, Long Zheng, Yu Huang, Chaoqiang Liu, Xiangyu Ye, Jingrui Yuan, Xiaofei Liao, Hai Jin, Jingling Xue
2023Dancing the Quantum Waltz: Compiling Three-Qubit Gates on Four Level Architectures.Andrew Litteken, Lennart Maximilian Seifert, Jason D. Chadwick, Natalia Nottingham, Tanay Roy, Ziqian Li, David I. Schuster, Frederic T. Chong, Jonathan M. Baker
2023ECSSD: Hardware/Data Layout Co-Designed In-Storage-Computing Architecture for Extreme Classification.Siqi Li, Fengbin Tu, Liu Liu, Jilan Lin, Zheng Wang, Yangwook Kang, Yufei Ding, Yuan Xie
2023Instant-3D: Instant Neural Radiance Field Training Towards On-Device AR/VR 3D Reconstruction.Sixu Li, Chaojian Li, Wenbo Zhu, Boyang Tony Yu, Yang Katie Zhao, Cheng Wan, Haoran You, Huihong Shi, Yingyan (Celine) Lin
2023Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks.Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Shengbao Zheng, Srinivas Sridharan, Christina Delimitrou
2023NeuRex: A Case for Neural Rendering Acceleration.Junseo Lee, Kwanseok Choi, Jungi Lee, Seokwon Lee, Joonho Whangbo, Jaewoong Sim
2023Doppelganger Loads: A Safe, Complexity-Effective Optimization for Secure Speculation Schemes.Amund Bergland Kvalsvik, Pavlos Aimoniotis, Stefanos Kaxiras, Magnus Sjlander
2023ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design.Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi
2023MapZero: Mapping for Coarse-grained Reconfigurable Architectures with Reinforcement Learning and Monte-Carlo Tree Search.Xiangyu Kong, Yi Huang, Jianfeng Zhu, Xingchen Man, Yang Liu, Chunyang Feng, Pengfei Gou, Minggui Tang, Shaojun Wei, Leibo Liu
2023Decoupled SSD: Rethinking SSD Architecture through Network-based Flash Controllers.Jiho Kim, Myoungsoo Jung, John Kim
2023CDPU: Co-designing Compression and Decompression Processing Units for Hyperscale Systems.Sagar Karandikar, Aniruddha N. Udipi, Junsun Choi, Joonho Whangbo, Jerry Zhao, Svilen Kanev, Edwin Lim, Jyrki Alakuijala, Vrishab Madduri, Yakun Sophia Shao, Borivoje Nikolic, Krste Asanovic, Parthasarathy Ranganathan
2023TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings.Norman P. Jouppi, George Kurian, Sheng Li, Peter C. Ma, Rahul Nagarajan, Lifeng Nai, Nishant Patil, Suvinay Subramanian, Andy Swing, Brian Towles, Cliff Young, Xiang Zhou, Zongwei Zhou, David A. Patterson
2023Optimizing CPU Performance for Recommendation Systems At-Scale.Rishabh Jain, Scott Cheng, Vishwas Kalagi, Vrushabh Sanghavi, Samvit Kaul, Meena Arunachalam, Kiwan Maeng, Adwait Jog, Anand Sivasubramaniam, Mahmut Taylan Kandemir, Chita R. Das
2023Architecting Efficient Multi-modal AIoT Systems.Xiaofeng Hou, Jiacheng Liu, Xuehan Tang, Chao Li, Jia Chen, Luhong Liang, Kwang-Ting Cheng, Minyi Guo
2023R2D2: Removing ReDunDancy Utilizing Linearity of Address Generation in GPUs.Dongho Ha, Yunho Oh, Won Woo Ro
426450 of 2,833← PreviousNext →

Comparable venues

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