Sparse Matrix Formats Evaluation and Optimization on a GPU

@article{Hugues2010SparseMF,
  title={Sparse Matrix Formats Evaluation and Optimization on a GPU},
  author={Maxime R. Hugues and Serge G. Petiton},
  journal={2010 IEEE 12th International Conference on High Performance Computing and Communications (HPCC)},
  year={2010},
  pages={122-129}
}
The data parallel programming model comes back with massive multicore architectures. The GPU is one of these and offers important possibilities to accelerate linear algebra. However, the irregular structure of sparse matrix operations generates problems with this programming model to obtain efficient performance. This depends on the used format to store values and the matrix structure. The sparse matrix-vector product (SpMV) is one of the most used kernel in scientific computing and is the main… CONTINUE READING

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