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ISPAN
1999
IEEE
13 years 9 months ago
Evaluation of a Semi-Static Approach to Mapping Dynamic Iterative Tasks onto Heterogeneous Computing Systems
To minimize the execution time of an iterative application in a heterogeneous parallel computing environment, an appropriate mapping scheme is needed for matching and scheduling th...
Yu-Kwong Kwok, Anthony A. Maciejewski, Howard Jay ...
IPPS
2009
IEEE
13 years 11 months ago
Power-aware dynamic task scheduling for heterogeneous accelerated clusters
Recent accelerators such as GPUs achieve better cost-performance and watt-performance ratio, while the range of their application is more limited than general CPUs. Thus heterogen...
Tomoaki Hamano, Toshio Endo, Satoshi Matsuoka
CLUSTER
2003
IEEE
13 years 10 months ago
A General Self-Adaptive Task Scheduling System for Non-Dedicated Heterogeneous Computing
— The efforts to construct a national scale Grid computing environment have brought unprecedented computing capacity and complicacy. Exploiting this complex infrastructure requir...
Ming Wu, Xian-He Sun
SPAA
2012
ACM
11 years 7 months ago
A scalable framework for heterogeneous GPU-based clusters
GPU-based heterogeneous clusters continue to draw attention from vendors and HPC users due to their high energy efficiency and much improved single-node computational performance...
Fengguang Song, Jack Dongarra
EUROPAR
2004
Springer
13 years 10 months ago
Scheduling Tasks Sharing Files from Distributed Repositories
Abstract. This paper is devoted to scheduling a large collection of independent tasks onto a distributed heterogeneous platform, which is composed of a set of servers. Each server ...
Arnaud Giersch, Yves Robert, Frédéri...