A GPGPU transparent virtualization component for high performance computing clouds

Authors:
Giulio Giunta;Raffaele Montella;Giuseppe Agrillo;Giuseppe Coviello
Affiliations:
University of Napoli Parthenope, Department of Applied Science;University of Napoli Parthenope, Department of Applied Science;University of Napoli Parthenope, Department of Applied Science;University of Napoli Parthenope, Department of Applied Science
Venue:
EuroPar'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part I
Year:
2010

Citing 10
Cited 8

Xen and the art of virtualization

SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Design and Evaluation of Nemesis, a Scalable, Low-Latency, Message-Passing Communication Subsystem

CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
Accelerator: using data parallelism to program GPUs for general-purpose uses

Proceedings of the 12th international conference on Architectural support for programming languages and operating systems
VMM-independent graphics acceleration

Proceedings of the 3rd international conference on Virtual execution environments
XenLoop: a transparent high performance inter-vm network loopback

HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
GViM: GPU-accelerated virtual machines

Proceedings of the 3rd ACM Workshop on System-level Virtualization for High Performance Computing
Accelerating Compute-Intensive Applications with GPUs and FPGAs

SASP '08 Proceedings of the 2008 Symposium on Application Specific Processors
A study of a KVM-based cluster for grid computing

Proceedings of the 47th Annual Southeast Regional Conference
The Eucalyptus Open-Source Cloud-Computing System

CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
vCUDA: GPU accelerated high performance computing in virtual machines

IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing

Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework

Proceedings of the 20th international symposium on High performance distributed computing
A virtual memory based runtime to support multi-tenancy in clusters with GPUs

Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing
A general-purpose virtualization service for HPC on cloud computing: an application to GPUs

PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part I
ValuePack: value-based scheduling framework for CPU-GPU clusters

SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
A preemption-based runtime to efficiently schedule multi-process applications on heterogeneous clusters with GPUs

Proceedings of the 22nd international symposium on High-performance parallel and distributed computing
COSMIC: middleware for high performance and reliable multiprocessing on xeon phi coprocessors

Proceedings of the 22nd international symposium on High-performance parallel and distributed computing
pvFPGA: accessing an FPGA-based hardware accelerator in a paravirtualized environment

Proceedings of the Ninth IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis
Virtualizing high-end GPGPUs on ARM clusters for the next generation of high performance cloud computing

Cluster Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

The GPU Virtualization Service (gVirtuS) presented in this work tries to fill the gap between in-house hosted computing clusters, equipped with GPGPUs devices, and pay-for-use high performance virtual clusters deployed via public or private computing clouds. gVirtuS allows an instanced virtual machine to access GPGPUs in a transparent and hypervisor independent way, with an overhead slightly greater than a real machine/GPGPU setup. The performance of the components of gVirtuS is assessed through a suite of tests in different deployment scenarios, such as providing GPGPU power to cloud computing based HPC clusters and sharing remotely hosted GPGPUs among HPC nodes.