An improvement of OpenMP pipeline parallelism with the BatchQueue algorithm - Archive ouverte HAL
Communication Dans Un Congrès Année : 2012

An improvement of OpenMP pipeline parallelism with the BatchQueue algorithm

Résumé

In the context of multicore programming, pipeline parallelism is a solution to easily transform a sequential program into a parallel one without requiring a whole rewriting of the code. The OpenMP stream-computing extension presented by Pop and Cohen proposes an extension of OpenMP to handle pipeline parallelism. However, their communication algorithm relies on Multiple-producer-Multiple-Consumer queues, while pipelined applications mostly deal with linear chains of communication, i.e., with only a single producer and a single consumer. To improve the performance of the OpenMP stream-extension, we propose to add a more specialized Single-Producer-Single-Consumer communication algorithm called Batch Queue and to select it for one-to-one communication. Our evaluation shows that Batch Queue is then able to improve the throughput up to a factor 2 on an 8-core machine both for example application and real applications. Our study shows therefore that using specialized and efficient communication algorithms can have a significant impact on the overall performance of pipelined applications.
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Dates et versions

hal-01282311 , version 1 (03-03-2016)

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Thomas Preud'Homme, Julien Sopena, Gaël Thomas, Bertil Folliot. An improvement of OpenMP pipeline parallelism with the BatchQueue algorithm. 18th IEEE International Conference on Parallel and Distributed Systems (ICPADS'12), Dec 2012, Singapore, Singapore. pp.348-355, ⟨10.1109/ICPADS.2012.55⟩. ⟨hal-01282311⟩
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