Now showing items 1-3 of 3

    • Efficiently running SpMV on long vector architectures 

      Gómez Crespo, Constantino; Mantovani, Filippo; Focht, Erich; Casas Guix, Marc (Association for Computing Machinery (ACM), 2021)
      Conference report
      Restricted access - publisher's policy
      Sparse Matrix-Vector multiplication (SpMV) is an essential kernel for parallel numerical applications. SpMV displays sparse and irregular data accesses, which complicate its vectorization. Such difficulties make SpMV to ...
    • Optimizing sparse matrix-vector multiplication in NEC SX-Aurora vector engine 

      Gómez Crespo, Constantino; Casas Guix, Marc; Mantovani, Filippo; Focht, Erich (2020-06-26)
      External research report
      Open Access
      Sparse Matrix-Vector multiplication (SpMV) is an essential piece of code used in many High Performance Computing (HPC) applications. As previous literature shows, achieving efficient vectorization and performance in modern ...
    • Optimizing the SpMV kernel on long-vector accelerators 

      Gómez Crespo, Constantino; Mantovani, Filippo; Focht, Erich; Casas, Marc (Barcelona Supercomputing Center, 2021-05)
      Conference report
      Open Access
      Sparse Matrix-Vector multiplication (SpMV) is an essential kernel for parallel numerical applications. SpMV displays sparse and irregular data accesses, which complicate its vectorization. Such difficulties make SpMV ...