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Showing 1 to 2 of 2 for “"General-Purpose Computation on Graphics Processing Units (GPGPU)"”.

  1. Compilation techniques and language support to facilitate dependence-driven computation

    … these challenges by providing new compilation techniques for high-level programming languages that conform to commonly-accepted paradigms in order to leverage these emerging runtime systems and architectures. In particular, this dissertation makes several contributions to these challenges by …

    uiuc Repository record for Compilation techniques and language support to facilitate dependence-driven computation (opens in a new tab)

  2. Scalable parallel tridiagonal algorithms with diagonal pivoting and their optimization for many-core architectures

    Tridiagonal solvers are important building blocks for a wide range of scientific applications that are commonly performance-sensitive. Recently, many-core architectures, such as GPUs, have become ubiquitous targets for these applications. Therefore, a high-performance general-purpose GPU …

    uiuc Repository record for Scalable parallel tridiagonal algorithms with diagonal pivoting and their optimization for many-core architectures (opens in a new tab)