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Conference object . 2024
License: CC BY
Data sources: ZENODO
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Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Boosting GPGPU virtualization and multiplexing with RDMA communication

Authors: Aponte, Mariano; Mellone, Gennaro; De Vita, Ciro Giuseppe; Salvi, Giuseppe; Gaikwad, Nikhil B.; Kosta, Sokol; Montella, Raffaele;

Boosting GPGPU virtualization and multiplexing with RDMA communication

Abstract

Hardware virtualization is essential in High-Performance Computing (HPC) and Cloud Computing. It addresses resource allocation challenges, scalability, and performance isolation in shared environments. With the rise of GPGPU-accelerated HPC clusters, research has increasingly focused on GPGPU virtualization, leading to various solutions. This work explores the Generalized Virtualization Service (GVirtuS), a transparent virtualization solution with a plug-in framework for easy development and choice of communicators and stub libraries. We discuss GVirtuS’ implementation and design choices and compare them with similar solutions. Additionally, we show how GVirtuS’ performance was enhanced with a novel RDMA-based communicator, evaluated through CUDA implementations of SAXPY and Matrix Multiplication. Our RDMA Communicator achieved a 35% performance boost over the TCP Communicator on Infiniband and a 55% boost over TCP on Ethernet.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green