Deploying a Top-100 Supercomputer for Large Parallel Workloads-Reference-Cited by-同舟云学术

Deploying a Top-100 Supercomputer for Large Parallel Workloads

Published:2019-07-28 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning)
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Author:

Ponce Marcelo¹,van Zon Ramses¹,Northrup Scott¹,Gruner Daniel¹,Chen Joseph¹,Ertinaz Fatih¹,Fedoseev Alexey¹,Groer Leslie¹,Mao Fei¹,Mundim Bruno C.¹,Nolta Mike¹,Pinto Jaime¹,Saldarriaga Marco¹,Slavnic Vladimir¹,Spence Erik¹,Yu Ching-Hsing¹,Peltier W. Richard¹

Affiliation:

1. SciNet HPC Consortium, University of Toronto, Toronto, Ontario, Canada

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3332186.3332195

Reference20 articles.

1. B. Austin C. Daley D. Doerfler J. Deslippe B. Cook B. Friesen T. Kurth C. Yang and N. J. Wright. 2018. A Metric for Evaluating Supercomputer Performance in the Era of Extreme Heterogeneity. In 2018 IEEE/ACM Performance Modeling Benchmarking and Simulation of High Performance Computer Systems (PMBS). 63--71. B. Austin C. Daley D. Doerfler J. Deslippe B. Cook B. Friesen T. Kurth C. Yang and N. J. Wright. 2018. A Metric for Evaluating Supercomputer Performance in the Era of Extreme Heterogeneity. In 2018 IEEE/ACM Performance Modeling Benchmarking and Simulation of High Performance Computer Systems (PMBS). 63--71.

2. High-performance adaptive routing;Bloch Gil;US Patent,2013

3. CernVM-FS

4. CernVM – a virtual software appliance for LHC applications

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