Enhancing the rCUDA remote GPU virtualization framework: From a prototype to a production solution

C. Reano, F. Silla, J. Duato

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

© 2017 IEEE. The use of hardware accelerators to increase the performance of parallel applications is very common nowadays. For a number of reasons, however, the access to local accelerators is not always feasible (e.g., lack of space or cost). It would also be the case that some applications benefit from having access to more accelerators than the physically possible. To address all these concerns, middleware offering access not only to local but also to remote accelerators appeared. This paper presents a high-level summary of a dissertation focused on enhancing one of these middleware, called rCUDA.
Original languageEnglish
Title of host publicationProceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages695-698
Number of pages4
ISBN (Print)9781509066100
DOIs
Publication statusPublished - 10 Jul 2017

Publication series

NameProceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017

Keywords

  • CUDA
  • InfiniBand
  • Virtualization

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    Reano, C., Silla, F., & Duato, J. (2017). Enhancing the rCUDA remote GPU virtualization framework: From a prototype to a production solution. In Proceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017 (pp. 695-698). (Proceedings - 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCGRID.2017.42