Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

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2.10

CiteScore

Yue Gu This email address is being protected from spambots. You need JavaScript enabled to view it.1, Jian-Hua Gu1 and Xing-She Zhou1

1Center for High Performance Computing, School of Computer Science, Northwestern Polytechnical University, Xi’an 710072, P.R. China


 

Received: February 20, 2013
Accepted: September 22, 2014
Publication Date: December 1, 2014

Download Citation: ||https://doi.org/10.6180/jase.2014.17.4.02  


ABSTRACT


Remote procedure call (RPC) is a simple, transparent and useful paradigm for providing communication between two processes across a network. The compute unified device architecture (CUDA) programming toolkit and runtime enhance the programmability of the graphics processing unit (GPU) and make GPU more versatile in high performance computing. The current researches mainly focus on the acceleration of algorithms on a GPU or multiple GPUs on a single host. This paper proposes a CPU/GPU collaborative model which can transparently use remote CPU/GPU computing resources to accelerate the computation. The objective is to efficiently manage CPU/GPU resources in a cluster to achieve load balancing.


Keywords: Remote Procedure Call, High Performance Computing, GPU Cluster, CUDA, Distributed Computing


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