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Titlebook: OpenMP: Memory, Devices, and Tasks; 12th International W Naoya Maruyama,Bronis R. de Supinski,Mohamed Wahib Conference proceedings 2016 Spr

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Yonghong Yan,Jeff R. Hammond,Chunhua Liao,Alexandre E. Eichenberger
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Philippe Virouleau,Adrien Roussel,François Broquedis,Thierry Gautier,Fabrice Rastello,Jean-Marc Gratvon 50–75jahrigen, im Vorjahren gelichteten und mit Buchen unterbauten Bflanzbuchen, welche die dem Muschelkalk charakteristische Schaftform und Farbe der Rinde zeigten, lud nochmals zu kurzer Rast und Rückblick auf das anmuthige durch die Sollingsberge abgeschlossene Landschaftsbild ein, ehe die Wa
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von 50–75jahrigen, im Vorjahren gelichteten und mit Buchen unterbauten Bflanzbuchen, welche die dem Muschelkalk charakteristische Schaftform und Farbe der Rinde zeigten, lud nochmals zu kurzer Rast und Rückblick auf das anmuthige durch die Sollingsberge abgeschlossene Landschaftsbild ein, ehe die Wa
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Evaluating OpenMP Affinity on the POWER8 Architecture.0 on the POWER8 processors, and on how to measure its effects on a system with two POWER8 sockets. We experiment with the different affinity settings provided by OpenMP 4.0 to quantify the costs of having good data locality vs not, and measure their effects via hardware counters. We also find out w
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Description, Implementation and Evaluation of an Affinity Clause for Task Directivesring the program execution, which can be used to control the data mapping on the architecture. In our proposal, the programmer can express affinity between a task and the following resources: a thread, a NUMA node, and a data. We then present an implementation of this proposal in the Clang-3.8 compi
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NUMA-Aware Task Performance Analysis thread or remotely on the same or a different socket. Exemplary the Intel and the GNU Compiler were used to execute the same task parallel code, where a performance difference of 8x could be observed, mainly due to task scheduling. We evaluate the presented method by investigating both execution ru
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OpenMP as a High-Level Specification Language for Parallelismh the Intel OpenMP and HClib runtimes, to motivate improvements to the HClib programming model and runtime, and to propose potential extensions to the OpenMP standard. Our performance analysis shows that, across a wide range of benchmarks, HClib demonstrates significantly less volatility in its perf
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