ASPLOS 2023
28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1 (ASPLOS 2023)
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28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1 (ASPLOS 2023), March 25–29, 2023, Vancouver, BC, Canada

ASPLOS 2023 – Proceedings

Contents - Abstracts - Authors

Frontmatter

Title Page
ASPLOS 2023 Volume I Program Chairs’ Message
Committees

Papers

AQUATOPE: QoS-and-Uncertainty-Aware Resource Management for Multi-stage Serverless Workflows
Zhuangzhuang Zhou, Yanqi Zhang, and Christina Delimitrou
(Cornell University, USA; Massachusetts Institute of Technology, USA)
Publisher's Version
CAFQA: A Classical Simulation Bootstrap for Variational Quantum Algorithms
Gokul Subramanian Ravi, Pranav Gokhale, Yi Ding, William Kirby, Kaitlin Smith, Jonathan M. Baker, Peter J. Love, Henry Hoffmann, Kenneth R. Brown, and Frederic T. Chong
(University of Chicago, USA; Super.tech, USA; Massachusetts Institute of Technology, USA; Tufts University, USA; Duke University, USA)
Publisher's Version
Cooperative Concurrency Control for Write-Intensive Key-Value Workloads
Mark Sutherland, Babak Falsafi, and Alexandros Daglis
(EPFL, Switzerland; Georgia Institute of Technology, USA)
Publisher's Version Artifacts Functional Results Reproduced
DecoMine: A Compilation-Based Graph Pattern Mining System with Pattern Decomposition
Jingji Chen and Xuehai Qian
(Purdue University, USA)
Publisher's Version
Erms: Efficient Resource Management for Shared Microservices with SLA Guarantees
Shutian Luo, Huanle Xu, Kejiang Ye, Guoyao Xu, Liping Zhang, Jian He, Guodong Yang, and Chengzhong Xu
(Shenzhen Institute of Advanced Technology at Chinese Academy of Sciences, China; University of Chinese Academy of Sciences, China; University of Macau, China; Alibaba Group, China)
Publisher's Version Artifacts Functional Results Reproduced
Glign: Taming Misaligned Graph Traversals in Concurrent Graph Processing
Xizhe Yin, Zhijia Zhao, and Rajiv Gupta
(University of California at Riverside, USA)
Publisher's Version Artifacts Functional Results Reproduced
Overlap Communication with Dependent Computation via Decomposition in Large Deep Learning Models
Shibo Wang, Jinliang Wei, Amit Sabne, Andy Davis, Berkin Ilbeyi, Blake Hechtman, Dehao Chen, Karthik Srinivasa Murthy, Marcello Maggioni, Qiao Zhang, Sameer Kumar, Tongfei Guo, Yuanzhong Xu, and Zongwei Zhou
(Google, USA; Waymo, USA)
Publisher's Version
Risotto: A Dynamic Binary Translator for Weak Memory Model Architectures
Redha Gouicem, Dennis Sprokholt, Jasper Ruehl, Rodrigo C. O. Rocha, Tom Spink, Soham Chakraborty, and Pramod Bhatotia
(TU Munich, Germany; TU Delft, Netherlands; University of Edinburgh, UK; University of St Andrews, UK)
Publisher's Version Artifacts Functional Results Reproduced
TelaMalloc: Efficient On-Chip Memory Allocation for Production Machine Learning Accelerators
Martin Maas, Ulysse Beaugnon, Arun Chauhan, and Berkin Ilbeyi
(Google, USA; Google, France)
Publisher's Version

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