Recursos de colección

RiuNet. Repositorio institucional de la Universitat de Valencia (72.956 recursos)

RiuNet es el Repositorio Institucional de la Universitat Politècnica de València, gestionado por la Biblioteca, cuyo objetivo es ofrecer acceso en Internet a la producción científica, académica y corporativa de la comunidad universitaria con la finalidad de aumentar su visibilidad y hacerla accesible y preservable.

Informes técnicos de investigación DSIC-GICC

Mostrando recursos 1 - 2 de 2

  1. Parallel Two-Stage Least Squares algorithms for Simultaneous Equations Models on GPU

    Ramiro Sánchez, Carla; López-Espín, José J.; Giménez, Domingo; Vidal, Antonio M.
    Today it is usual to have computational systems formed by a multicore together with one or more GPUs. These systems are heterogeneous, due to the di erent types of memory in the GPUs and to the di erent speeds of computation of the cores in the CPU and the GPU. To accelerate the solution of complex problems it is necessary to combine the two basic components (CPU and GPU) in the heterogeneous system. This paper analyzes the use of a multicore+multiGPU system for solving Simultaneous Equations Models by the Two-Stage Least Squares method with QR decomposition. The combination of CPU and...
    - 19-abr-2016

  2. Implementación CPU-GPU y comparativa de las bibliotecas BLAS-CUBLAS, LAPACK-CULA.

    Angeles Arce, Misael; FLORES BECERRA, GEORGINA; Vidal, Antonio M.
    Parallel programming has been available for a few decades using clusters of computers (sets of interconnected computers with shared memory and distributed memory); recently, it has been available using multicore CPUs and GPUs (Graphics Processing Unit). Parallel programming has been very useful in applications of science and engineering to reduce the sequential execution time by parallel numerical libraries for clusters, such as PBLAS and ScaLAPACK, which rely on the sequential numerical libraries BLAS and LAPACK. Parallel numerical libraries have been developed for GPUs, as CUBLAS and CULA (based on BLAS and LAPACK), developed in the CUDA programming platform, developed by NVIDIA. CUDA tries to exploit...
    - 19-abr-2016

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