Computer Science – Distributed – Parallel – and Cluster Computing
Scientist
Computer Science
Distributed, Parallel, and Cluster Computing
Scientist
Efficient multicore-aware parallelization strategies for iterative stencil computations
Expression Templates Revisited: A Performance Analysis of the Current ET Methodology
Introducing a Performance Model for Bandwidth-Limited Loop Kernels
Leveraging shared caches for parallel temporal blocking of stencil codes on multicore processors and clusters
LIKWID: A lightweight performance-oriented tool suite for x86 multicore environments
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