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28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2 (ASPLOS 2023),
March 25–29, 2023,
Vancouver, BC, Canada
Frontmatter
Papers
Achieving Sub-second Pairwise Query over Evolving Graphs
Hongtao Chen,
Mingxing Zhang,
Ke Yang,
Kang Chen,
Albert Zomaya,
Yongwei Wu, and
Xuehai Qian
(Tsinghua University, China; Beijing HaiZhi XingTu Technology, China; University of Sydney, Australia; Purdue University, USA)
Publisher's Version
AtoMig: Automatically Migrating Millions Lines of Code from TSO to WMM
Martin Beck,
Koustubha Bhat,
Lazar Stričević,
Geng Chen,
Diogo Behrens,
Ming Fu,
Viktor Vafeiadis,
Haibo Chen, and
Hermann Härtig
(Huawei Dresden Research Center, Dresden, Germany; Huawei Fundamental Software Innovation Lab, Shenzhen, China; MPI-SWS, Kaiserslautern, Germany; Huawei Central Software Institute, Shenzhen, China; Shanghai Jiao Tong University, Shanghai, China; TU Dresden, Dresden, Germany)
Publisher's Version
Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters
Bilge Acun,
Benjamin Lee,
Fiodar Kazhamiaka,
Kiwan Maeng,
Udit Gupta,
Manoj Chakkaravarthy,
David Brooks, and
Carole-Jean Wu
(Meta, USA; University of Pennsylvania, USA; Stanford University, USA; Harvard University, USA)
Publisher's Version
Ditto: End-to-End Application Cloning for Networked Cloud Services
Mingyu Liang,
Yu Gan,
Yueying Li,
Carlos Torres,
Abhishek Dhanotia,
Mahesh Ketkar, and
Christina Delimitrou
(Cornell University, USA; Meta, USA; Intel, USA; Massachusetts Institute of Technology, USA)
Publisher's Version
ElasticFlow: An Elastic Serverless Training Platform for Distributed Deep Learning
Diandian Gu,
Yihao Zhao,
Yinmin Zhong,
Yifan Xiong,
Zhenhua Han,
Peng Cheng,
Fan Yang,
Gang Huang,
Xin Jin, and
Xuanzhe Liu
(Peking University, China; Microsoft Research, China)
Publisher's Version
Published Artifact
Artifacts Available
Artifacts Functional
Results Reproduced
EVStore: Storage and Caching Capabilities for Scaling Embedding Tables in Deep Recommendation Systems
Daniar H. Kurniawan,
Ruipu Wang,
Kahfi S. Zulkifli,
Fandi A. Wiranata,
John Bent,
Ymir Vigfusson, and
Haryadi S. Gunawi
(University of Chicago, USA; Beijing University of Technology, China; Bandung Institute of Technology, Indonesia; Seagate Technology, USA; Emory University, USA)
Publisher's Version
GPU-Initiated On-Demand High-Throughput Storage Access in the BaM System Architecture
Zaid Qureshi,
Vikram Sharma Mailthody,
Isaac Gelado,
Seungwon Min,
Amna Masood,
Jeongmin Park,
Jinjun Xiong,
C. J. Newburn,
Dmitri Vainbrand,
I-Hsin Chung,
Michael Garland,
William Dally, and
Wen-mei Hwu
(University of Illinois at Urbana-Champaign, USA; NVIDIA, USA; AMD, USA; University at Buffalo, USA; IBM Research, USA; Stanford University, USA)
Publisher's Version
Published Artifact
Artifacts Available
Artifacts Functional
GZKP: A GPU Accelerated Zero-Knowledge Proof System
Weiliang Ma,
Qian Xiong,
Xuanhua Shi,
Xiaosong Ma,
Hai Jin,
Haozhao Kuang,
Mingyu Gao,
Ye Zhang,
Haichen Shen, and
Weifang Hu
(Huazhong University of Science and Technology, China; Hamad Bin Khalifa University, Qatar; Tsinghua University, China; Scroll Foundation, Seychelles)
Publisher's Version
MC Mutants: Evaluating and Improving Testing for Memory Consistency Specifications
Reese Levine,
Tianhao Guo,
Mingun Cho,
Alan Baker,
Raph Levien,
David Neto,
Andrew Quinn, and
Tyler Sorensen
(University of California at Santa Cruz, USA; New York University, USA; University of California at Davis, USA; Google, Canada; Google, USA)
Publisher's Version
Published Artifact
Artifacts Available
Artifacts Functional
Results Reproduced
Pond: CXL-Based Memory Pooling Systems for Cloud Platforms
Huaicheng Li,
Daniel S. Berger,
Lisa Hsu,
Daniel Ernst,
Pantea Zardoshti,
Stanko Novakovic,
Monish Shah,
Samir Rajadnya,
Scott Lee,
Ishwar Agarwal,
Mark D. Hill,
Marcus Fontoura, and
Ricardo Bianchini
(Virginia Tech, USA; Carnegie Mellon University, USA; Microsoft Azure, USA; University of Washington, USA; Unaffiliated, USA; Google, USA; Microsoft, USA; Intel, USA; University of Wisconsin-Madison, USA; Stone, USA)
Publisher's Version
RAIZN: Redundant Array of Independent Zoned Namespaces
Thomas Kim,
Jekyeom Jeon,
Nikhil Arora,
Huaicheng Li,
Michael Kaminsky,
David G. Andersen,
Gregory R. Ganger,
George Amvrosiadis, and
Matias Bjørling
(Carnegie Mellon University, USA; Enriched Ag, USA; Western Digital, Denmark)
Publisher's Version
Published Artifact
Artifacts Available
Artifacts Functional
Spada: Accelerating Sparse Matrix Multiplication with Adaptive Dataflow
Zhiyao Li,
Jiaxiang Li,
Taijie Chen,
Dimin Niu,
Hongzhong Zheng,
Yuan Xie, and
Mingyu Gao
(Tsinghua University, China; Northwestern University, USA; Alibaba DAMO Academy, China; Shanghai Qi Zhi Institute, China)
Publisher's Version
TensorIR: An Abstraction for Automatic Tensorized Program Optimization
Siyuan Feng,
Bohan Hou,
Hongyi Jin,
Wuwei Lin,
Junru Shao,
Ruihang Lai,
Zihao Ye,
Lianmin Zheng,
Cody Hao Yu,
Yong Yu, and
Tianqi Chen
(Shanghai Jiao Tong University, China; Carnegie Mellon University, USA; OctoML, USA; University of Washington, USA; University of California at Berkeley, USA; Amazon Web Services, USA)
Publisher's Version
Towards a Machine Learning-Assisted Kernel with LAKE
Henrique Fingler,
Isha Tarte,
Hangchen Yu,
Ariel Szekely,
Bodun Hu,
Aditya Akella, and
Christopher J. Rossbach
(University of Texas at Austin, USA; Meta, USA; Massachusetts Institute of Technology, USA; Katana Graph, USA)
Publisher's Version
Published Artifact
Artifacts Available
Artifacts Functional
Results Reproduced
uGrapher: High-Performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks
Yangjie Zhou,
Jingwen Leng,
Yaoxu Song,
Shuwen Lu,
Mian Wang,
Chao Li,
Minyi Guo,
Wenting Shen,
Yong Li,
Wei Lin,
Xiangwen Liu, and
Hanqing Wu
(Shanghai Jiao Tong University, China; Alibaba Group, China)
Publisher's Version
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