SHAMan: A Versatile Auto-tuning Framework for Costly and Noisy HPC Systems-Reference-Cited by-同舟云学术

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SHAMan: A Versatile Auto-tuning Framework for Costly and Noisy HPC Systems

Published:2022 Issue: Volume: Page:87-104
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Robert S.,Zertal S.,Couvée P.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-22039-5_8

Reference43 articles.

1. ARQ. https://arq-docs.helpmanual.io/

2. Atos boosts HPC application efficiency with its new flash accelerator solution. https://atos.net/en/2019/product-news_2019_02_07/atos-boosts-hpc-application-efficiency-new-flash-accelerator-solution

3. Documentation of the SHAMan application. https://shaman-app.readthedocs.io/

4. IO-SEA. https://iosea-project.eu

5. MPICH: a high performance and widely portable implementation of the Message Passing Interface (MPI) standard. https://www.mpich.org/

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