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Bind: a Partitioned Global Workflow Parallel Programming Model

Distributed, Parallel, and Cluster Computing 2016-06-16 v1
Authors: Alex Kosenkov , Matthias Troyer
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Abstract

High Performance Computing is notorious for its long and expensive software development cycle. To address this challenge, we present Bind: a "partitioned global workflow" parallel programming model for C++ applications that enables quick prototyping and agile development cycles for high performance computing software targeting heterogeneous distributed many-core architectures. We present applications of Bind to Linear Algebra and MapReduce algorithms alongside with performance results.

Keywords

compiler optimization parallel programming parallel algorithm

Cite

@article{arxiv.1606.04830,
  title  = {Bind: a Partitioned Global Workflow Parallel Programming Model},
  author = {Alex Kosenkov and Matthias Troyer},
  journal= {arXiv preprint arXiv:1606.04830},
  year   = {2016}
}

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