CommBench: Micro-Benchmarking Hierarchical Networks with Multi-GPU, Multi-NIC Nodes-Reference-Cited by-同舟云学术

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CommBench: Micro-Benchmarking Hierarchical Networks with Multi-GPU, Multi-NIC Nodes

Published:2024-05-30 Issue: Volume: Page:426-436
ISSN:
Container-title:Proceedings of the 38th ACM International Conference on Supercomputing
language:
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Author:

Hidayetoglu Mert¹^ORCID,De Gonzalo Simon Garcia²^ORCID,Slaughter Elliott³^ORCID,Li Yu⁴^ORCID,Zimmer Christopher⁵^ORCID,Bicer Tekin⁶^ORCID,Ren Bin⁷^ORCID,Gropp William⁸^ORCID,Hwu Wen-Mei⁹^ORCID,Aiken Alex¹^ORCID

Affiliation:

1. Stanford University, USA

2. Sandia National Laboratories, United States of America

3. SLAC National Accelerator Laboratory, USA

4. University of Illinois at Urbana-Champaign, USA

5. Oak Ridge National Laboratory, United States of America

6. Argonne National Laboratory, United States of America

7. William & Mary, USA

8. University of Illinois at Urbana-Champaign, United States of America

9. Nvidia Research, USA and University of Illinois at Urbana-Champaign, USA

Funder

Department of Energy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3650200.3656591

Reference38 articles.

1. [1] [n. d.]. https://mvapich.cse.ohio-state.edu/benchmarks/

2. An application based MPI message throughput benchmark

3. Reducing communication in algebraic multigrid with multi-step node aware communication

4. Modeling Data Movement Performance on Heterogeneous Architectures

5. National Energy Research Scientific Computing Center. 2022. Perlmutter Architecture. https://docs.nersc.gov/systems/perlmutter/architecture/

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