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The OmpSs reductions model and how to deal with scatter-updates

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136-138 The OmpSs Reductions Model 3rd BSC International Doctoral Symposium 2016-35.pdf (854,1Kb)
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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
Scatter-updates represent a reoccurring algorithmic pattern in many scientific applications. Their scalable execution on modern systems is difficult due to performance limitations introduced by their irregular memory access pattern that prohibits an efficient use of the memory subsystem. Further performance degradation is caused by techniques that are required in order to eliminate potential data races and come at the cost of overhead. Taking a closer look at algorithmic properties, access patterns and common support techniques reveals that a one-size-fits-all solution does not exist and solutions are needed that can adapt to individual properties of the algorithm while maintaining programming transparency. In this work we propose a solution framework that supports a broad set of techniques, provides the required access pattern analytics to allow dynamic decision making and shows what language extensions are needed to maintain programming transparency. A reference implementation in OmpSs, a task-based parallel programming model, shows programmability and scalability of this solution.
CitationCiesko, Jan [et al.]. The OmpSs reductions model and how to deal with scatter-updates. A: 3rd BSC International Doctoral Symposium. "Book of abstracts". Barcelona: Barcelona Supercomputing Center, 2015, p. 136-138. 
URIhttp://hdl.handle.net/2117/91126
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