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• W2249672196 abstract "We present a novel approach of distributing matrix multiplications among GPU-equipped nodes in a cluster system. In this context we discuss the induced challenges and possible solutions. Additionally we state an algorithm which outperforms optimized GPU BLAS libraries for small matrices. Furthermore we provide a novel theoretical model for distributing algorithms within homogeneous computation systems with multiple hierarchies. In the context of this model we develop an algorithm which can find the optimal distribution parameters for each involved subalgorithm. We provide a detailed analysis of the algorithms space and time complexities and justify its use with a structured evaluation within a small GPU-equipped Beowulf cluster." @default.
• W2249672196 created "2016-06-24" @default.
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• W2249672196 date "2015-11-01" @default.
• W2249672196 modified "2023-09-25" @default.
• W2249672196 title "A generic and adaptive approach for workload distribution in multi-tier cluster systems with an application to distributed matrix multiplication" @default.
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• W2249672196 doi "https://doi.org/10.1109/cinti.2015.7382933" @default.
• W2249672196 hasPublicationYear "2015" @default.
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