A dependency-aware task-based programming environment for multi-core architectures

Parallel programming on SMP and multi-core architectures is hard. In this paper we present a programming model for those environments based on automatic function level parallelism that strives to be easy, flexible, portable, and performant. Its main trait is its ability to exploit task level paralle...

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Veröffentlicht in:2008 IEEE International Conference on Cluster Computing S. 142 - 151
Hauptverfasser: Perez, J.M., Badia, R.M., Labarta, J.
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.09.2008
Schlagworte:
Arrays
Computer architecture
Matrix decomposition
Parallel processing
Programming
Runtime
Runtime library
ISBN:1424426391, 9781424426393
ISSN:1552-5244
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:Parallel programming on SMP and multi-core architectures is hard. In this paper we present a programming model for those environments based on automatic function level parallelism that strives to be easy, flexible, portable, and performant. Its main trait is its ability to exploit task level parallelism by analyzing task dependencies at run time. We present the programming environment in the context of algorithms from several domains and pinpoint its benefits compared to other approaches. We discuss its execution model and its scheduler. Finally we analyze its performance and demonstrate that it offers reasonable performance without tuning, and that it can rival highly tuned libraries with minimal tuning effort.
ISBN:1424426391
9781424426393
ISSN:1552-5244
DOI:10.1109/CLUSTR.2008.4663765