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Scaling irregular array-type reductions in OmpSs

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Ciesko, Jan
Mateo Bellido, Sergi
Teruel, Xavier
Beltran Querol, Vicenç
Martorell Bofill, XavierMés informacióMés informacióMés informació
Badia Sala, Rosa MariaMés informacióMés informacióMés informació
Labarta Mancho, Jesús JoséMés informacióMés informacióMés informació
Document typeConference report
Defense date2015-05-05
PublisherBarcelona Supercomputing Center
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
Array-type reductions represent a frequently occurring algorithmic pattern in many scientific applications. A special case occurs if array elements are accessed in a non-linear, often random manner, which makes their concurrent and scalable execution difficult. In this work we present a new approach that consists of language- and runtime support to facilitate programming and delivers high scalability on modern shared-memory systems for such irregular array-type reductions. A reference implementation in OmpSs, a task-parallel programming model, shows promising results with speed-ups up to 15x on the Intel Xeon processor.
CitationCiesko, Jan [et al.]. Scaling irregular array-type reductions in OmpSs. A: "BSC Doctoral Symposium (2nd: 2015: Barcelona)". 2nd ed. Barcelona: Barcelona Supercomputing Center, 2015, p. 138-140. 
URIhttp://hdl.handle.net/2099/16590
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