Improving the management efficiency of GPU workloads in data centers through GPU virtualization-Reference-Cited by-同舟云学术

Improving the management efficiency of GPU workloads in data centers through GPU virtualization

Published:2019-04-10 Issue:2 Volume:33 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat Pract Exper

Author:

Iserte Sergio¹,Prades Javier²,Reaño Carlos³,Silla Federico²^ORCID

Affiliation:

1. Departament d'Enginyeria i Ciència dels Computadors Universitat Jaume I Castellón de la Plana Spain

2. Departamento de Informática de Sistemas y Computadores Universitat Politècnica de València València Spain

3. School of Electronics, Electrical Engineering and Computer Science Queen's University Belfast Belfast UK

Funder

Generalitat Valenciana

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5275

Reference60 articles.

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3. WuH DiamosG SheardT et al.Red fox: an execution environment for relational query processing on GPUs. In: Proceedings of the Annual IEEE/ACM International Symposium on Code Generation and Optimization (CGO);2014;Orlando FL.

4. PlayneDP HawickKA.Data parallel three‐dimensional Cahn‐Hilliard field equation simulation on GPUs with CUDA. In: Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA);2009;Las Vegas NV.

5. Tridiagonalization of a dense symmetric matrix on multiple GPUs and its application to symmetric eigenvalue problems

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