Sparse matrix computations on manycore GPU’s

  title={Sparse matrix computations on manycore GPU’s},
  author={Michael Garland},
  journal={2008 45th ACM/IEEE Design Automation Conference},
Modern microprocessors are becoming increasingly parallel devices, and GPUs are at the leading edge of this trend. Designing parallel algorithms for manycore chips like the GPU can present interesting challenges, particularly for computations on sparse data structures. One particularly common example is the collection of sparse matrix solvers and combinatorial graph algorithms that form the core of many physical simulation techniques. Although seemingly irregular, these operations can often be… CONTINUE READING
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