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Jenkins et al., 2013 - Google Patents

Processing MPI derived datatypes on noncontiguous GPU-resident data

Jenkins et al., 2013

Document ID
17208616382761865091
Author
Jenkins J
Dinan J
Balaji P
Peterka T
Samatova N
Thakur R
Publication year
Publication venue
IEEE Transactions on Parallel and Distributed Systems

External Links

Snippet

Driven by the goals of efficient and generic communication of noncontiguous data layouts in GPU memory, for which solutions do not currently exist, we present a parallel, noncontiguous data-processing methodology through the MPI datatypes specification. Our …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06F9/46—Multiprogramming arrangements
    • G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
    • G06F9/5061—Partitioning or combining of resources
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