JOURNAL ARTICLE

CUDA acceleration for Xen virtual machines in infiniband clusters with rCUDA

Abstract

Many data centers currently use virtual machines (VMs) to achieve a more efficient usage of hardware resources. However, current virtualization solutions, such as Xen, do not easily provide graphics processing unit (GPU) accelerators to applications running in the virtualized domain with the flexibility usually required in data centers (i.e., managing virtual GPU instances and concurrently sharing them among several VMs). Remote GPU virtualization frameworks such as the rCUDA solution may address this problem.

Keywords:
InfiniBand Virtualization Computer science Operating system Virtual machine Full virtualization Acceleration Graphics processing unit CUDA Flexibility (engineering) Embedded system Cloud computing

Metrics

9
Cited By
2.60
FWCI (Field Weighted Citation Impact)
5
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Parallel Computing and Optimization Techniques
Physical Sciences →  Computer Science →  Hardware and Architecture
Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
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