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DaSH: a benchmark suite for hybrid dataflow and shared memory programming models

Author
Gajinov, V.; Stipic, S.; Eric, I.; Unsal, O.; Ayguade, E.; Cristal, A.
Type of activity
Journal article
Journal
Parallel computing
Date of publication
2015-06-01
Volume
45
First page
18
Last page
48
DOI
https://doi.org/10.1016/j.parco.2015.03.005 Open in new window
Project funding
Computación de Altas Prestaciones VI
Computación de altas prestaciones V: arquitecturas, compiladores, sistemas operativos, herramientas y aplicaciones
Repository
http://hdl.handle.net/2117/105453 Open in new window
URL
http://ac.els-cdn.com/S0167819115000496/1-s2.0-S0167819115000496-main.pdf?_tid=7328812a-b62f-11e5-931d-00000aacb361&acdnat=1452275241_5b60213c1edb85f3fd39133b0ce82589 Open in new window
Abstract
The current trend in development of parallel programming models is to combine different well established models into a single programming, model in order to support efficient implementation of a wide range of real world applications. The dataflow model has particularly managed to recapture the interest of the research community due to its ability to express parallelism efficiently. Thus, a number of recently proposed hybrid parallel programming models combine dataflow and traditional shared memo...
Citation
Gajinov, V., Stipic, S., Eric, I., Unsal, O., Ayguade, E., Cristal, A. DaSH: a benchmark suite for hybrid dataflow and shared memory programming models. "Parallel computing", 1 Juny 2015, vol. 45, p. 18-48.
Keywords
Algorithm, Architectures, Benchmark suite, Dataflow, Programming model, Shared memory, Transactional memory
Group of research
CAP - High Performace Computing Group

Participants