Efficient Data-Parallel Computing on Small Heterogeneous Clusters
47:21
Microsoft
Efficient Data-Parallel Computing on Small Heterogeneous Clusters
Cluster-based data-parallel frameworks such as MapReduce, Hadoop, and Dryad are increasingly popular for a large class of compute-intensive tasks. Although such systems are designed for large-scale clusters, they also offer a convenient and accessible route to data-parallel programming for small-scale clusters. This potentially allows ...
Oct 31, 2009
Heterogeneous Computing
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