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2018 | OriginalPaper | Buchkapitel

Operational Concepts of GPU Systems in HPC Centers: TCO and Productivity

verfasst von : Fabian P. Schneider, Sandra Wienke, Matthias S. Müller

Erschienen in: Euro-Par 2017: Parallel Processing Workshops

Verlag: Springer International Publishing

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Abstract

Nowadays, numerous supercomputers comprise GPUs due to promising high performance and memory bandwidth at low power consumption. With GPUs attached to a host system, applications could improve their runtime by utilizing both devices. However, this comes at a cost of increased development effort and system power consumption. In this paper, we compare the total cost of ownership (TCO) and productivity of different operational concepts of GPU systems in HPC centers covering various (heterogeneous) program execution models and CPU-GPU setups. Our investigations include runtime, power consumption, development effort and hardware purchase costs and are exemplified with two application case studies.

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Nächstes Kapitel Large Scale Graph Processing in a Distributed Environment

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Titel: Operational Concepts of GPU Systems in HPC Centers: TCO and Productivity
verfasst von: Fabian P. Schneider
Sandra Wienke
Matthias S. Müller
Verlag: Springer International Publishing
Buch: Euro-Par 2017: Parallel Processing Workshops
Print ISBN: 978-3-319-75177-1

Electronic ISBN: 978-3-319-75178-8

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-75178-8_37

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