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Chen et al., 2013 - Google Patents

Tiled-mapreduce: Efficient and flexible mapreduce processing on multicore with tiling

Chen et al., 2013

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Document ID
12630720562934029661
Author
Chen R
Chen H
Publication year
Publication venue
ACM Transactions on Architecture and Code Optimization (TACO)

External Links

Snippet

The prevalence of chip multiprocessors opens opportunities of running data-parallel applications originally in clusters on a single machine with many cores. MapReduce, a simple and elegant programming model to program large-scale clusters, has recently been …
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Classifications

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    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
    • G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
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