ValueExpert: exploring value patterns in GPU-accelerated applications-Reference-Cited by-同舟云学术

ValueExpert: exploring value patterns in GPU-accelerated applications

Published:2022-02-22 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems
language:
Short-container-title:

Author:

Zhou Keren¹,Hao Yueming²,Mellor-Crummey John¹,Meng Xiaozhu¹,Liu Xu²

Affiliation:

1. Rice University, USA

2. North Carolina State University, USA

Funder

DOE U.S. Department of Energy

Oak Ridge National Laboratory

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3503222.3507708

Reference59 articles.

1. 2020. TOP500. https://www.top500.org/lists/top500/2021/06/ [Accessed August 4, 2021 ]. 2020. TOP500. https://www.top500.org/lists/top500/2021/06/ [Accessed August 4, 2021].

2. 2021. ROC-profiler. https://github.com/ROCm-Developer-Tools/rocprofiler [Accessed Aug 9, 2021 ]. 2021. ROC-profiler. https://github.com/ROCm-Developer-Tools/rocprofiler [Accessed Aug 9, 2021].

3. 2021. SHA-2. https://en.wikipedia.org/wiki/SHA-2 [Accessed Apr 9, 2021 ]. 2021. SHA-2. https://en.wikipedia.org/wiki/SHA-2 [Accessed Apr 9, 2021].

4. Martín Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , and Michael Isard . 2016 . Tensorflow: A system for large-scale machine learning. In 12th $USENIX$ symposium on operating systems design and implementation ($OSDI$ 16). 265–283. Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, and Michael Isard. 2016. Tensorflow: A system for large-scale machine learning. In 12th $USENIX$ symposium on operating systems design and implementation ($OSDI$ 16). 265–283.

5. CASTRO: A Massively Parallel Compressible Astrophysics Simulation Code

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Refining HPCToolkit for application performance analysis at exascale;The International Journal of High Performance Computing Applications;2024-08-30

2. Low-Overhead Trace Collection and Profiling on GPU Compute Kernels;ACM Transactions on Parallel Computing;2024-06-08

3. Snoopie: A Multi-GPU Communication Profiler and Visualizer;Proceedings of the 38th ACM International Conference on Supercomputing;2024-05-30

4. Analyzing GPU Performance in Virtualized Environments: A Case Study;Future Internet;2024-02-23

5. TrivialSpy: Identifying Software Triviality via Fine-grained and Dataflow-based Value Profiling;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11