Now showing items 1-6 of 6

    • Design space exploration of next-generation HPC machines 

      Gómez Crespo, Constantino; Martínez Palau, Francesc; Armejach Sanosa, Adrià; Moreto Planas, Miquel; Mantovani, Filippo; Casas Guix, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      Conference report
      Restricted access - confidentiality agreement
      The landscape of High Performance Computing (HPC) system architectures keeps expanding with new technologies and increased complexity. With the goal of improving the efficiency of next-generation large HPC systems, designers ...
    • Diseño y evaluación de un cluster HPC: aplicaciones 

      Gómez Crespo, Constantino (Universitat Politècnica de Catalunya, 2014-06-26)
      Bachelor thesis
      Open Access
      [CASTELLÀ] En este trabajo se presenta un análisis de las aplicaciones HPC del estado del arte. Estudia posibles tecnicas de optimización. Al final se ha hecho una evaluación de un clúster basado en tecnología móvil.
    • 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 ...
    • Evaluation of low-power architectures in a scientific computing environment 

      Gómez Crespo, Constantino (Universitat Politècnica de Catalunya, 2016-07-07)
      Master thesis
      Open Access
      HPC (High Performance Computing) represents, together with theory and experiments, the third pillar of science. Through HPC, scientists can simulate phenomena otherwise impossible to study. The need of performing larger ...
    • 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 ...