Sparse matrixvector multiplication on the Single-Chip Cloud Computer many-core processor
Evaluation of the performance and power efficiency of the SpMV on the SCC many-core. Some of the most successful SpMV optimization techniques have been analyzed. SCC is very sensitive to locality improvements due to its memory hierarchy. Architectural comparison with several leading multi/many-core processors and GPUs. Best performance results are obtained by high-end GPUs and the Phi coprocessor.
many-core performance power efficiency optimization sparse matrix