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Improving Geographical Locality of Data for Shared Memory Implementations of PDE Solvers

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Improving Geographical Locality of Data for Shared Memory Implementations of PDE Solvers
On cc-NUMA multi-processors, the non-uniformity of main memory latencies motivates the need for co-location of threads and data. We call this special form of data locality, geographical locality, as the non-uniformity is a consequence of the physical distance between the cc-NUMA nodes. In this article, we compare the well established method of exploiting the rst-touch strategy using parallel initialization of data to an application-initiated page migration strategy as means of increasing the geographical locality for a set of important scientic applications. Four PDE solvers parallelized using OpenMP are studied; two standard NAS NPB3.0-OMP benchmarks and two kernels from industrial applications. The solvers employ both structured and unstructured computational grids. The main conclusions of the study are: (1) that geographical locality is important for the performance of the applications, (2) that application-initiated migration outperforms the rsttouch scheme in almost all cases,...
Henrik Löf, Markus Nordén, Sverker Hol
Added 01 Jul 2010
Updated 01 Jul 2010
Type Conference
Year 2004
Where ICCS
Authors Henrik Löf, Markus Nordén, Sverker Holmgren
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