Search Results - "Namyst, Raymond"

Refine Results
  1. 1

    StarPU: a unified platform for task scheduling on heterogeneous multicore architectures by Augonnet, Cédric, Thibault, Samuel, Namyst, Raymond, Wacrenier, Pierre-André

    Published in Concurrency and computation (01-02-2011)
    “…In the field of HPC, the current hardware trend is to design multiprocessor architectures featuring heterogeneous technologies such as specialized coprocessors…”
    Get full text
    Journal Article
  2. 2

    SPAWN: An Iterative, Potentials-Based, Dynamic Scheduling and Partitioning Tool by Papin, Jean-Charles, Denoual, Christophe, Colombet, Laurent, Namyst, Raymond

    “…Many applications of physics modeling use regular meshes on which computations of highly variable cost over time can occur. Distributing the underlying cells…”
    Get full text
    Journal Article
  3. 3
  4. 4

    hwloc: A Generic Framework for Managing Hardware Affinities in HPC Applications by Broquedis, Franois, Clet-Ortega, Jerome, Moreaud, Stephanie, Furmento, Nathalie, Goglin, Brice, Mercier, Guillaume, Thibault, Samuel, Namyst, Raymond

    “…The increasing numbers of cores, shared caches and memory nodes within machines introduces a complex hardware topology. High-performance computing applications…”
    Get full text
    Conference Proceeding
  5. 5

    AMR-based molecular dynamics for non-uniform, highly dynamic particle simulations by Prat, Raphaël, Carrard, Thierry, Soulard, Laurent, Durand, Olivier, Namyst, Raymond, Colombet, Laurent

    Published in Computer physics communications (01-08-2020)
    “…Accurate simulations of metal under heavy shocks, leading to fragmentation and ejection of particles, cannot be achieved by simply hydrodynamic models and…”
    Get full text
    Journal Article
  6. 6

    EasyPAP: A framework for learning parallel programming by Lasserre, Alice, Namyst, Raymond, Wacrenier, Pierre-André

    “…•The EasyPAP environment allows students to really focus on parallelism while developing OpenMP, OpenCL or MPI kernels.•Interactive display of increasingly…”
    Get full text
    Journal Article
  7. 7

    Programming heterogeneous architectures using hierarchical tasks by Faverge, Mathieu, Furmento, Nathalie, Guermouche, Abdou, Lucas, Gwenolé, Namyst, Raymond, Thibault, Samuel, Wacrenier, Pierre‐André

    Published in Concurrency and computation (15-11-2023)
    “…Summary Task‐based systems have become popular due to their ability to utilize the computational power of complex heterogeneous systems. A typical programming…”
    Get full text
    Journal Article
  8. 8

    An efficient and transparent thread migration scheme in the PM2 runtime system by Antoniu, Gabriel, Bougé, Luc, Namyst, Raymond

    “…This paper describes a new iso-address approach to the dynamic allocation of data in a multithreaded runtime system with thread migration capability. The…”
    Get full text
    Book Chapter
  9. 9
  10. 10

    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…”
    Get full text
    Journal Article
  11. 11

    Structuring the execution of OpenMP applications for multicore architectures by Broquedis, Francois, Aumage, Olivier, Goglin, Brice, Thibault, Samuel, Wacrenier, Pierre-Andr, Namyst, Raymond

    “…The now commonplace multi-core chips have introduced, by design, a deep hierarchy of memory and cache banks within parallel computers as a tradeoff between the…”
    Get full text
    Conference Proceeding
  12. 12

    Automatic OpenCL Code Generation for Multi-device Heterogeneous Architectures by Li, Pei, Brunet, Elisabeth, Trahay, Francois, Parrot, Christian, Thomas, Gael, Namyst, Raymond

    “…Using multiple accelerators, such as GPUs or Xeon Phis, is attractive to improve the performance of large data parallel applications and to increase the size…”
    Get full text
    Conference Proceeding Journal Article
  13. 13
  14. 14

    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
  15. 15

    ForestGOMP: An Efficient OpenMP Environment for NUMA Architectures by Broquedis, François, Furmento, Nathalie, Goglin, Brice, Wacrenier, Pierre-André, Namyst, Raymond

    “…Exploiting the full computational power of current hierarchical multiprocessor machines requires a very careful distribution of threads and data among the…”
    Get full text
    Journal Article
  16. 16
  17. 17

    Data-Aware Task Scheduling on Multi-accelerator Based Platforms by Augonnet, Cédric, Clet-Ortega, Jérôme, Thibault, Samuel, Namyst, Raymond

    “…To fully tap into the potential of heterogeneous machines composed of multicore processors and multiple accelerators, simple offloading approaches in which the…”
    Get full text
    Conference Proceeding
  18. 18

    Resource-Management Study in HPC Runtime-Stacking Context by Loussert, Arthur, Welterlen, Benoit, Carribault, Patrick, Jaeger, Julien, Perache, Marc, Namyst, Raymond

    “…With the advent of multicore and manycore processors as building blocks of HPC supercomputers, many applications shift from relying solely on a distributed…”
    Get full text
    Conference Proceeding
  19. 19

    Multi-Criteria Mesh Partitioning for an Explicit Temporal Adaptive Task-Distributed Finite-Volume Solver by Lasserre, Alice, Couteyen-Carpaye, Jean-Marie, Guermouche, Abdou, Namyst, Raymond

    “…The aerospace industry is one of the largest users of numerical simulation, which is an essential tool in the field of aerodynamic engineering, where many…”
    Get full text
    Conference Proceeding
  20. 20

    Programmability and performance portability aspects of heterogeneous multi-/manycore systems by Kessler, Christoph, Dastgeer, Usman, Thibault, Samuel, Namyst, Raymond, Richards, Andrew, Dolinsky, Uwe, Benkner, Siegfried, Träff, Jesper Larsson, Pllana, Sabri

    “…We discuss three complementary approaches that can provide both portability and an increased level of abstraction for the programming of heterogeneous…”
    Get full text
    Conference Proceeding