arXiv · 2011.11762
The Chunks and Tasks Matrix Library 2.0
Abstract
We present a C++ header-only parallel sparse matrix library, based on sparse quadtree representation of matrices using the Chunks and Tasks programming model. The library implements a number of sparse matrix algorithms for distributed memory parallelization that are able to dynamically exploit data locality to avoid movement of data. This is demonstrated for the example of block-sparse matrix-matrix multiplication applied to three sequences of matrices with different nonzero structure, using the CHT-MPI 2.0 runtime library implementation of the Chunks and Tasks model. The runtime library succeeds to dynamically load balance the calculation regardless of the sparsity structure.
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Emanuel H. Rubensson, Elias Rudberg, Anastasia Kruchinina, Anton G. Artemov. 2020-11-23. The Chunks and Tasks Matrix Library 2.0. https://arxiv.org/abs/2011.11762
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