Search Results - "Hugo, Andra"

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  1. 1

    A Runtime Approach to Dynamic Resource Allocation for Sparse Direct Solvers by Hugo, Andra-Ecaterina, Guermouche, Abdou, Wacrenier, Pierre-Andre, Namyst, Raymond

    “…To face the advent of multicore processors and the ever increasing complexity of hardware architectures, programming models based on DAG-of-tasks parallelism…”
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    Conference Proceeding
  2. 2

    Composing Multiple StarPU Applications over Heterogeneous Machines: A Supervised Approach by Hugo, Andra-Ecaterina, Guermouche, Abdou, Wacrenier, Pierre-Andre, Namyst, Raymond

    “…Enabling HPC applications to perform efficiently when invoking multiple parallel libraries simultaneously is a great challenge. Even if a single runtime system…”
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    Conference Proceeding
  3. 3

    Resource aggregation for task-based Cholesky Factorization on top of modern architectures by Cojean, Terry, Guermouche, Abdou, Hugo, Andra, Namyst, Raymond, Wacrenier, Pierre-André

    Published in Parallel computing (01-10-2018)
    “…Hybrid computing platforms are now commonplace, featuring a large number of CPU cores and accelerators. This trend makes balancing computations between these…”
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    Journal Article
  4. 4

    Analyzing performance variation of task schedulers with TaskInsight by Ceballos, Germán, Grass, Thomas, Hugo, Andra, Black-Schaffer, David

    Published in Parallel computing (01-07-2018)
    “…•Provide a methodology to quantify the performance behaviour of task-based schedulers.•Classify data reuse of the tasks through the execution of the…”
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    Journal Article
  5. 5

    Partitioning GPUs for Improved Scalability by Janzen, Johan, Black-Schaffer, David, Hugo, Andra

    “…To port applications to GPUs, developers need to express computational tasks as highly parallel executions with tens of thousands of threads to fill the GPU's…”
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    Conference Proceeding
  6. 6

    Composing multiple StarPU applications over heterogeneous machines: A supervised approach by Hugo, Andra, Guermouche, Abdou, Wacrenier, Pierre-André, Namyst, Raymond

    “…Enabling HPC applications to perform efficiently when invoking multiple parallel libraries simultaneously is a great challenge. Even if a uniform runtime…”
    Get full text
    Journal Article
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