Projects per year
Abstract
As data analytics are growing in importance they are also quickly becoming one of the dominant application domains that require parallel processing. This paper investigates the applicability of OpenMP, the dominant shared-memory parallel programming model in high-performance computing, to the domain of data analytics. We contrast the performance and programmability of key data analytics benchmarks against Phoenix++, a state-of-the-art shared memory map/reduce programming system. Our study shows that OpenMP outperforms the Phoenix++ system by a large margin for several benchmarks. In other cases, however, the programming model is lacking support for this application domain.
Original language | English |
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Title of host publication | OpenMP: Heterogenous Execution and Data Movements |
Pages | 162-174 |
Volume | 9342 |
ISBN (Electronic) | 978-3-319-24595-9 |
DOIs | |
Publication status | Published - Nov 2015 |
Event | 11th International Workshop on OpenMP, IWOMP 2015 - Aachen, Germany Duration: 01 Oct 2015 → 02 Oct 2015 http://www.iwomp.org/ |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
ISSN (Print) | 0302-9743 |
Conference
Conference | 11th International Workshop on OpenMP, IWOMP 2015 |
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Country/Territory | Germany |
City | Aachen |
Period | 01/10/2015 → 02/10/2015 |
Internet address |
Keywords
- OpenMP
- map/reduce
- REDUCTION
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Dive into the research topics of 'A Case Study of OpenMP applied to Map/Reduce-style Computations'. Together they form a unique fingerprint.Projects
- 2 Finished
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R1451CSC: Hybrid Static/Dynamic Scheduling for Task Dataflow Parallel Programs
28/07/2014 → 02/03/2017
Project: Research
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R6438CSC: An Adaptive, highly Scalable Analytics Platform
Vandierendonck, H., Nikolopoulos, D. & Robinson, P.
21/03/2014 → 28/02/2017
Project: Research