Browsing GI-GAC - Artigos by Author "Viñas Buceta, Moisés"

Now showing items 1-5 of 5

    • A multi-GPU shallow-water simulation with transport of contaminants 

      Viñas Buceta, Moisés; Lobeiras Blanco, Jacobo; Fraguela, Basilio B.; Arenaz Silva, Manuel; Amor, Margarita; García, J.A.; Castro, M.J.; Doallo, Ramón (Wiley, 2012)
      [Abstract] This work presents cost-effective multi-graphics processing unit (GPU) parallel implementations of a finite-volume numerical scheme for solving pollutant transport problems in bidimensional domains. The fluid ...

    • Developing adaptive multi-device applications with the Heterogeneous Programming Library 

      Viñas Buceta, Moisés; Bozkus, Zeki; Fraguela, Basilio B.; Andrade, Diego; Doallo, Ramón (Springer, 2015)
      [Abstract] The usage of heterogeneous devices presents two main problems. One is their complex programming, a problem that grows when multiple devices are used. The second issue is that even if the codes for these devices ...

    • Exploiting Heterogeneous Parallelism With the Heterogeneous Programming Library 

      Viñas Buceta, Moisés; Bozkus, Zeki; Fraguela, Basilio B. (Elsevier, 2013)
      [Abstract] While recognition of the advantages of heterogeneous computing is steadily growing, the issues of programmability and portability hinder its exploitation. The introduction of the OpenCL standard was a major step ...

    • Facilitating the development of stencil applications using the Heterogeneous Programming Library 

      Viñas Buceta, Moisés; Fraguela, Basilio B.; Andrade, Diego; Doallo, Ramón (2017)
      [Abstract] Stencil computations are very common in scientific codes. Heterogeneous systems achieve good results solving these problems, but their programming is complex because of the ghost regions required in multi-device ...

    • High Productivity Multi-device Exploitation with the Heterogeneous Programming Library 

      Viñas Buceta, Moisés; Fraguela, Basilio B.; Andrade, Diego; Doallo, Ramón (Elsevier, 2016)
      [Abstract] Heterogeneous devices require much more work from programmers than traditional CPUs, particularly when there are several of them, as each one has its own memory space. Multidevice applications require to distribute ...