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On Parallel Solution of Sparse Triangular Linear Systems in CUDA
[article]
2017
arXiv
pre-print
The acceleration of sparse matrix computations on modern many-core processors, such as the graphics processing units (GPUs), has been recognized and studied over a decade. Significant performance enhancements have been achieved for many sparse matrix computational kernels such as sparse matrix-vector products and sparse matrix-matrix products. Solving linear systems with sparse triangular structured matrices is another important sparse kernel as demanded by a variety of scientific and
arXiv:1710.04985v1
fatcat:sydqdpsosjblbc64itdmjlkpde