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49th ISCA 2022: New York, NY, USA
- Valentina Salapura, Mohamed Zahran, Fred Chong, Lingjia Tang:
ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18 - 22, 2022. ACM 2022, ISBN 978-1-4503-8610-4 - Abhishek Bhattacharyya, Abhijith Somashekhar, Joshua San Miguel
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NvMR: non-volatile memory renaming for intermittent computing. 1-13 - Ashkan Asgharzadeh, Juan M. Cebrian
Free atomics: hardware atomic operations without fences. 14-26 - Jaewon Lee
Securing GPU via region-based bounds checking. 27-41 - Brian C. Schwedock
täk¯: a polymorphic cache hierarchy for general-purpose optimization of data movement. 42-58 - Samuel Alexander Stein, Nathan Wiebe, Yufei Ding, Bo Peng, Karol Kowalski, Nathan A. Baker
EQC: ensembled quantum computing for variational quantum algorithms. 59-71 - Nicholas Mosier
Axiomatic hardware-software contracts for security. 72-86 - Xing Zhou, Zhilei Xu, Cong Wang, Mingyu Gao:
PPMLAC: high performance chipset architecture for secure multi-party computation. 87-101 - Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu
INSPIRE: in-storage private information retrieval via protocol and architecture co-design. 102-115 - Jin Zhao, Yun Yang, Yu Zhang, Xiaofei Liao, Lin Gu, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Xinyu Jiang, Hui Yu:
TDGraph: a topology-driven accelerator for high-performance streaming graph processing. 116-129 - Guohao Dai, Zhenhua Zhu, Tianyu Fu
DIMMining: pruning-efficient and parallel graph mining on near-memory-computing. 130-145 - Nishil Talati, Haojie Ye, Yichen Yang
NDMiner: accelerating graph pattern mining using near data processing. 146-159 - Muhammad Umar
SoftVN: efficient memory protection via software-provided version numbers. 160-172 - Nikola Samardzic, Axel Feldmann, Aleksandar Krastev
CraterLake: a hardware accelerator for efficient unbounded computation on encrypted data. 173-187 - Gang Liu, Kenli Li, Zheng Xiao, Rujia Wang:
PS-ORAM: efficient crash consistency support for oblivious RAM on NVM. 188-203 - Jack Cook, Jules Drean, Jonathan Behrens, Mengjia Yan
There's always a bigger fish: a clarifying analysis of a machine-learning-assisted side-channel attack. 204-217 - Marzieh Lenjani, Alif Ahmed, Mircea Stan
Gearbox: a case for supporting accumulation dispatching and hybrid partitioning in PIM-based accelerators. 218-230 - Alexandar Devic
To PIM or not for emerging general purpose processing in DDR memory systems. 231-244 - Siying Feng, Xin He, Kuan-Yu Chen, Liu Ke, Xuan Zhang, David T. Blaauw, Trevor N. Mudge, Ronald G. Dreslinski:
MeNDA: a near-memory multi-way merge solution for sparse transposition and dataflows. 245-258 - Xingchen Man
CaSMap: agile mapper for reconfigurable spatial architectures by automatically clustering intermediate representations and scattering mapping process. 259-273 - Yuanchao Xu
FFCCD: fence-free crash-consistent concurrent defragmentation for persistent memory. 274-288 - Sangwon Lee
LightPC: hardware and software co-design for energy-efficient full system persistence. 289-305 - Ahmed H. M. O. Abulila, Izzat El Hajj, Myoungsoo Jung, Nam Sung Kim:
ASAP: architecture support for asynchronous persistence. 306-319 - Gagandeep Singh, Rakesh Nadig, Jisung Park
Sibyl: adaptive and extensible data placement in hybrid storage systems using online reinforcement learning. 320-336 - Anbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi, Yufei Ding, Yuan Xie:
A synthesis framework for stitching surface code with superconducting quantum devices. 337-350 - Lingling Lao, Dan E. Browne
2QAN: a quantum compiler for 2-local qubit hamiltonian simulation algorithms. 351-365 - Ilkwon Byun
XQsim: modeling cross-technology control processors for 10+K qubit quantum computers. 366-382 - Tirthak Patel
Geyser: a compilation framework for quantum computing with neutral atoms. 383-395 - Ali Sedaghati, Milad Hakimi, Reza Hojabr, Arrvindh Shriraman:
X-cache: a modular architecture for domain-specific caches. 396-409 - Sudhanshu Shukla, Sumeet Bandishte, Jayesh Gaur, Sreenivas Subramoney:
Register file prefetching. 410-423 - Jounghoo Lee, Yeonan Ha, Suhyun Lee, Jinyoung Woo, Jinho Lee
GCoM: a detailed GPU core model for accurate analytical modeling of modern GPUs. 424-436 - Gilead Posluns, Yan Zhu, Guowei Zhang, Mark C. Jeffrey
A scalable architecture for reprioritizing ordered parallelism. 437-453 - Nathaniel Bleier
Rethinking programmable wearable processors. 454-467 - Di Wu, Jingjie Li, Zhewen Pan, Younghyun Kim, Joshua San Miguel
uBrain: a unary brain computer interface. 468-481 - Dehui Lin
Managing reliability skew in DNA storage. 482-494 - Robert Hanhan
EDAM: edit distance tolerant approximate matching content addressable memory. 495-507 - Anshujit Sharma
Increasing ising machine capacity with multi-chip architectures. 508-521 - Edward Hanson
Cascading structured pruning: enabling high data reuse for sparse DNN accelerators. 522-535 - Jonathan S. Lew, Yunpeng Liu, Wenyi Gong, Negar Goli, R. David Evans, Tor M. Aamodt:
Anticipating and eliminating redundant computations in accelerated sparse training. 536-551 - Yunan Zhang, Po-An Tsai, Hung-Wei Tseng
SIMD2: a generalized matrix instruction set for accelerating tensor computation beyond GEMM. 552-566 - Dennis Abts, Garrin Kimmell, Andrew C. Ling, John Kim, Matthew Boyd, Andrew Bitar, Sahil Parmar, Ibrahim Ahmed, Roberto DiCecco, David Han, John Thompson, Michael Bye, Jennifer Hwang, Jeremy Fowers, Peter Lillian, Ashwin Murthy, Elyas Mehtabuddin, Chetan Tekur, Thomas Sohmers, Kris Kang, Stephen Maresh, Jonathan Ross:
A software-defined tensor streaming multiprocessor for large-scale machine learning. 567-580 - Saeed Rashidi, William Won
Themis: a network bandwidth-aware collective scheduling policy for distributed training of DL models. 581-596 - Mohammad Bakhshalipour, Seyed Borna Ehsani, Mohamad Qadri, Dominic Guri, Maxim Likhachev, Phillip B. Gibbons:
RACOD: algorithm/hardware co-design for mobile robot path planning. 597-609 - Haoran You
EyeCoD: eye tracking system acceleration via flatcam-based algorithm & accelerator co-design. 610-622 - Helena Caminal
Accelerating database analytic query workloads using an associative processor. 623-637 - Damla Senol Cali, Konstantinos Kanellopoulos, Joël Lindegger, Zülal Bingöl, Gurpreet S. Kalsi, Ziyi Zuo, Can Firtina, Meryem Banu Cavlak, Jeremie S. Kim, Nika Mansouri-Ghiasi, Gagandeep Singh, Juan Gómez-Luna, Nour Almadhoun Alserr, Mohammed Alser, Sreenivas Subramoney, Can Alkan, Saugata Ghose, Onur Mutlu:
SeGraM: a universal hardware accelerator for genomic sequence-to-graph and sequence-to-sequence mapping. 638-655 - Zhuowen Zou, Hanning Chen, Prathyush Poduval, Yeseong Kim, Mahdi Imani, Elaheh Sadredini
BioHD: an efficient genome sequence search platform using HyperDimensional memorization. 656-669 - Kevin Loughlin, Stefan Saroiu, Alec Wolman, Yatin A. Manerkar, Baris Kasikci
MOESI-prime: preventing coherence-induced hammering in commodity workloads. 670-684 - Joseph Ravichandran
PACMAN: attacking ARM pointer authentication with speculative execution. 685-698 - Moinuddin K. Qureshi, Aditya Rohan, Gururaj Saileshwar, Prashant J. Nair:
Hydra: enabling low-overhead mitigation of row-hammer at ultra-low thresholds via hybrid tracking. 699-710 - Sangpyo Kim
BTS: an accelerator for bootstrappable fully homomorphic encryption. 711-725 - Weizhe Hua, Muhammad Umar
MGX: near-zero overhead memory protection for data-intensive accelerators. 726-741 - Shixin Song, Tanvir Ahmed Khan
Thermometer: profile-guided btb replacement for data center applications. 742-756 - David Schall
Lukewarm serverless functions: characterization and optimization. 757-770 - Hans Kasan, Gwangsun Kim, Yung Yi, John Kim:
Dynamic global adaptive routing in high-radix networks. 771-783 - Udit Gupta
ACT: designing sustainable computer systems with an architectural carbon modeling tool. 784-799 - Liam Patterson, David Pigorovsky, Brian Dempsey, Nikita Lazarev, Aditya Shah, Clara Steinhoff, Ariana Bruno, Justin Hu, Christina Delimitrou:
HiveMind: a hardware-software system stack for serverless edge swarms. 800-816 - Marcelo Orenes-Vera, Aninda Manocha, Jonathan Balkind, Fei Gao, Juan L. Aragón
Tiny but mighty: designing and realizing scalable latency tolerance for manycore SoCs. 817-830 - Nathaniel Bleier
FlexiCores: low footprint, high yield, field reprogrammable flexible microprocessors. 831-846 - Ceyu Xu
SNS's not a synthesizer: a deep-learning-based synthesis predictor. 847-859 - Youngeun Kwon, Minsoo Rhu:
Training personalized recommendation systems from (GPU) scratch: look forward not backwards. 860-873 - Size Zheng, Renze Chen, Anjiang Wei
AMOS: enabling automatic mapping for tensor computations on spatial accelerators with hardware abstraction. 874-887 - Ali Hadi Zadeh
Mokey: enabling narrow fixed-point inference for out-of-the-box floating-point transformer models. 888-901 - Zheng Li, Soroush Ghodrati, Amir Yazdanbakhsh, Hadi Esmaeilzadeh, Mingu Kang:
Accelerating attention through gradient-based learned runtime pruning. 902-915 - Zhangxiaowen Gong, Houxiang Ji
Graphite: optimizing graph neural networks on CPUs through cooperative software-hardware techniques. 916-931 - Yunjae Lee, Jinha Chung, Minsoo Rhu:
SmartSAGE: training large-scale graph neural networks using in-storage processing architectures. 932-945 - Shuangchen Li, Dimin Niu, Yuhao Wang, Wei Han, Zhe Zhang, Tianchan Guan, Yijin Guan, Heng Liu, Linyong Huang, Zhaoyang Du
Hyperscale FPGA-as-a-service architecture for large-scale distributed graph neural network. 946-961 - Yu Feng, Gunnar Hammonds, Yiming Gan, Yuhao Zhu:
Crescent: taming memory irregularities for accelerating deep point cloud analytics. 962-977 - Karthikeyan Sankaralingam, Tony Nowatzki, Vinay Gangadhar, Preyas Shah, Michael Davies, William Galliher, Ziliang Guo, Jitu Khare, Deepak Vijay, Poly Palamuttam, Maghawan Punde, Alex Tan, Vijay Thiruvengadam, Rongyi Wang, Shunmiao Xu:
The Mozart reuse exposed dataflow processor for AI and beyond: industrial product. 978-992 - Dheevatsa Mudigere, Yuchen Hao, Jianyu Huang, Zhihao Jia, Andrew Tulloch, Srinivas Sridharan, Xing Liu, Mustafa Ozdal, Jade Nie, Jongsoo Park, Liang Luo, Jie Amy Yang, Leon Gao, Dmytro Ivchenko, Aarti Basant, Yuxi Hu, Jiyan Yang, Ehsan K. Ardestani, Xiaodong Wang, Rakesh Komuravelli, Ching-Hsiang Chu, Serhat Yilmaz, Huayu Li, Jiyuan Qian, Zhuobo Feng, Yinbin Ma, Junjie Yang, Ellie Wen
Software-hardware co-design for fast and scalable training of deep learning recommendation models. 993-1011 - Cédric Lichtenau, Alper Buyuktosunoglu, Ramon Bertran, Peter Figuli, Christian Jacobi, Nikolaos Papandreou, Haris Pozidis, Anthony Saporito, Andrew Sica, Elpida Tzortzatos:
AI accelerator on IBM telum processor: industrial product. 1012-1028 - Jian Chen, Xiaoyu Zhang, Tao Wang, Ying Zhang, Tao Chen, Jiajun Chen, Mingxu Xie, Qiang Liu:
Fidas: fortifying the cloud via comprehensive FPGA-based offloading for intrusion detection: industrial product. 1029-1041 - Mark Zhao
Understanding data storage and ingestion for large-scale deep recommendation model training: industrial product. 1042-1057 - Daniel Lustig, Simon Cooksey, Olivier Giroux:
Mixed-proxy extensions for the NVIDIA PTX memory consistency model: industrial product. 1058-1070
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