Performance Optimization of SpGEMM on RISC-V Vector Processors at Barcelona Supercomputing Center

The Barcelona Supercomputing Center (BSC) is a world-leading research center in high-performance computing. Recently, the BSC has been researching ways to optimize the performance of SpGEMM (sparse matrix-matrix multiplication) on RISC-V vector processors. This research is aimed at improving the performance of SpGEMM on RISC-V vector processors, which are becoming increasingly popular in the high-performance computing space.

SpGEMM is an important operation for many scientific and engineering applications, and its performance is critical for achieving high performance in these applications. The BSC has been researching ways to optimize the performance of SpGEMM on RISC-V vector processors, as these processors have the potential to provide significant improvements in performance.

The BSC has developed a number of techniques for optimizing the performance of SpGEMM on RISC-V vector processors. These techniques include using vectorization to improve data locality, using prefetching to reduce memory accesses, and using register blocking to reduce register pressure. Additionally, the BSC has developed a number of optimizations for the RISC-V vector processor architecture, such as loop unrolling and instruction scheduling.

The BSC has also developed a number of tools to help developers optimize their code for SpGEMM on RISC-V vector processors. These tools include a profiler to identify hotspots in the code and a vectorization advisor to suggest optimizations for improving data locality. Additionally, the BSC has developed a code generator that automatically generates optimized code for SpGEMM on RISC-V vector processors.

The BSC’s research into optimizing the performance of SpGEMM on RISC-V vector processors has already yielded promising results. In particular, the BSC has achieved significant speedups in its tests, with some applications achieving up to 8x speedups compared to non-optimized implementations.

Overall, the BSC’s research into optimizing the performance of SpGEMM on RISC-V vector processors is an important step towards improving the performance of high-performance computing applications. The BSC’s research has already yielded promising results, and it is hoped that these results will lead to further improvements in the performance of SpGEMM on RISC-V vector processors in the future.

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