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Work Stealing for Multi-core HPC Clusters
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由 K Ravichandran 著作2011被引用 45 次 — Work stealing algorithms are currently designed for either a shared memory architecture or for a distributed memory architecture and are extended to work on ...
Work Stealing for Multi-core HPC Clusters
Springer
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由 K Ravichandran 著作2011被引用 45 次 — Work stealing al- gorithms are currently designed for either a shared memory architecture or for a distributed memory architecture and are extended to work on.
Work stealing for multi-core HPC clusters - ACM Digital Library
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Current work stealing approaches are not suitable for multi-core clusters due to the dichotomy of the underlying architecture. We combine the best aspects of ...
[PDF] Work Stealing for Multi-core HPC Clusters
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This work proposes a hierarchical work-stealing framework, in which work-Stealing is performed inside a node before across the node boundary, which reduces ...
Work Stealing for Multi-core HPC Clusters
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Work stealing algorithms are currently designed for either a shared memory architecture or for a distributed memory architecture and are extended to work on ...
Work Stealing for Multi-core HPC Clusters
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Today a significant fraction of HPC clusters are built from multi-core machines connected via a high speed interconnect, hence, they have a mix of shared ...
Work Stealing for Multi-core HPC Clusters
OUCI
https://ouci.dntb.gov.ua › works
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Berlin, K., Huan, J.: Evaluating the impact of programming language features on the performance of parallel applications on cluster architectures.
An adaptive and hierarchical task scheduling scheme for ...
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由 Y Wang 著作2014被引用 20 次 — This paper introduces an adaptive and hierarchical task scheduling scheme (AHS) for multi-core clusters, in which work-stealing and work-sharing are adaptively ...
Performance analysis of work stealing strategies in large ...
Universiteit Antwerpen
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Universiteit Antwerpen
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由 G KIELANSKI 著作2023被引用 2 次 — Distributed systems use randomized work stealing to improve performance and resource utilization. In most prior analytical studies.
23 頁
How Haskell handles parallel computing on a multicore ...
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2017年6月6日 — GHC uses a pool of available work (called sparks) and a work-stealing system: when a thread runs out of work, it will look for work in the ...