2009
DOI: 10.1007/978-3-642-03095-6_5
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Implementation of a Performance-Based Loop Scheduling on Heterogeneous Clusters

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Cited by 3 publications
(3 citation statements)
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“…Another approach is adding graphics processing units (GPUs) to improve performance of existing nodes . In the latter 3 cases, the cluster becomes heterogeneous . In this way, heterogeneous computing systems have emerged as an important contribution to provide computational capacity in high‐performance computing.…”
Section: Introductionmentioning
confidence: 99%
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“…Another approach is adding graphics processing units (GPUs) to improve performance of existing nodes . In the latter 3 cases, the cluster becomes heterogeneous . In this way, heterogeneous computing systems have emerged as an important contribution to provide computational capacity in high‐performance computing.…”
Section: Introductionmentioning
confidence: 99%
“…9 In the latter 3 cases, the cluster becomes heterogeneous. [10][11][12] In this way, heterogeneous computing systems have emerged as an important contribution to provide computational capacity in high-performance computing. In fact, the prevalence of heterogeneous systems in the TOP500 list grew from 3.4% to 18.0% between June 2010 and June 2015.…”
Section: Introductionmentioning
confidence: 99%
“…There are several ways to enhance the computational capacity of parallel computing systems such as (1) scaling up by adding more processing nodes, (2) replacement of all processing nodes with newer, faster ones, (3) upgrading computing systems by adding newer, faster nodes, (4) combing multiple clusters into a bigger computational system, known as multi-cluster systems, (5) using hybrid CPU-GPU architectures, etc. [8,9,10,11]. In cases 1 and 2, the computing system remains homogeneous, but it can be very costly.…”
mentioning
confidence: 99%