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Asynchronous Communication for Finite-Difference Simulations on GPU Clusters using CUDA and MPI

D.P. Playne, K.A. Hawick
Computer Science, Massey University, Albany, North Shore 102-904, Auckland, New Zealand
Computational Science Technical Note CSTN-125, 2011

@article{playne2011asynchronous,

   title={Asynchronous Communication for Finite-Difference Simulations on GPU Clusters using CUDA and MPI},

   author={Playne, DP and Hawick, KA and Albany, N.S.},

   year={2011}

}

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Graphical processing Units (GPUs) are finding widespread use as accelerators in computer clusters. It is not yet trivial to program applications that use multiple GPU-enabled cluster nodes efficiently. A key aspect of this is managing effective communication between GPU memory on separate devices on separate nodes. We develop an algorithmic framework for Finite-Difference numerical simulations that would normally require highly synchronous data-parallelism so they can effectively use loosely coupled GPU-enabled cluster nodes. We employ asynchronous communications and appropriate memory overlay of computations and communications to hide latency.
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