We present a task-based implementation of SpMVM with the PGAS communication library GPI-2. This computational kernel is essential for the overall performance of the Krylov subspace solvers but its proper hybrid parall...
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ISBN:
(纸本)9783319265209;9783319265193
We present a task-based implementation of SpMVM with the PGAS communication library GPI-2. This computational kernel is essential for the overall performance of the Krylov subspace solvers but its proper hybrid parallel design is nowadays still a challenge on hierarchical architectures consisting of multi-and many-core sockets and nodes. The GPI-2 library allows, by default and in a natural way, a task-basedparallelization. Thus, our implementation is fully asynchronous and it considerably differs from the standard hybrid approaches combining MPI and threads/OpenMP. Here we briefly describe the GPI-2 library, our implementation of the SpMVM routine, and then we compare the performance of our Jacobi preconditioned Richardson solver against the PETSc-Richardson using Poisson BVP in a unit cube as a benchmark test. The comparison employs two types of domain decomposition and demonstrates the preemptive performance and better scalability of our task-based implementation.
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