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@starpu-runtime

StarPU Runtime

StarPU: A Unified Runtime System for Heterogeneous Multicore Architectures

StarPU: A Unified Runtime System for Heterogeneous Multicore Architectures

StarPU is a runtime system that offers support for heterogeneous multicore machines. While many efforts are devoted to design efficient computation kernels for those architectures (e.g. to implement BLAS kernels on GPUs), StarPU not only takes care of offloading such kernels (and implementing data coherency across the machine), but it also makes sure the kernels are executed as efficiently as possible.

For any questions regarding StarPU, please contact the starpu-devel mailing-list at starpu-devel@inria.fr.

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  1. starpu starpu Public

    This is a mirror of https://gitlab.inria.fr/starpu/starpu where our development happens, but contributions are welcome here too!

    C 61 12

  2. .github .github Public

  3. RL_for_dynamic_scheduling RL_for_dynamic_scheduling Public

    Forked from btglr/RL_for_dynamic_scheduling

    Implementation of the paper "A Reinforcement Learning Based Strategy for Dynamic Scheduling on Heterogeneous Platforms".

    Python

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