Automatic scheduling and dynamic load sharing of parallel computations on heterogeneous workstation clusters
Parallel computing on heterogeneous workstation clusters has proved to be a very efficient use of available resources, increasing their overall utilization. However, for it to be a viable alternative to expensive, dedicated parallel machines, a number of key issues need to be resolved. One of the ma...
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| Language: | en_US |
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2012
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| Online Access: | http://hdl.handle.net/1957/34688 |