Introduces Distributed Level-Blocked MPK combining RACE cache blocking with MPI, reporting substantial speedups up to 4x on 832 cores for matrix power kernels across scientific sparse matrices.
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Integrating RACE into Trilinos applies algebraic temporal blocking to MPK in s-step GMRES, polynomial preconditioners, and AMG, yielding up to 3x speedups on multi-core CPUs for MPK-dominated algorithms.
citing papers explorer
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Cache Blocking of Distributed-Memory Parallel Matrix Power Kernels
Introduces Distributed Level-Blocked MPK combining RACE cache blocking with MPI, reporting substantial speedups up to 4x on 832 cores for matrix power kernels across scientific sparse matrices.
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Algebraic Temporal Blocking for Sparse Iterative Solvers on Multi-Core CPUs
Integrating RACE into Trilinos applies algebraic temporal blocking to MPK in s-step GMRES, polynomial preconditioners, and AMG, yielding up to 3x speedups on multi-core CPUs for MPK-dominated algorithms.