General Purpose Task-Dependence Management Hardware for Task-Based Dataflow Programming Models

Task-based programming models such as OpenMP, IntelTBB and OmpSs offer the possibility of expressing dependences among tasks to drive their execution at runtime. Managing these dependences introduces noticeable overheads when targeting fine-grained tasks, diminishing the potential speedups or even i...

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Veröffentlicht in:	Proceedings - IEEE International Parallel and Distributed Processing Symposium S. 244 - 253
Hauptverfasser:	Xubin Tan, Bosch, Jaume, Vidal, Miquel, Alvarez, Carlos, Jimenez-Gonzalez, Daniel, Ayguade, Eduard, Valero, Mateo
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.05.2017
Schlagworte:	Discrete cosine transforms Energy saving Fine- grained task parallelism Hardware Instruction sets Nested tasks Parallel processing Picos++ Hardware Accelerator Programming Runtime Task-based dataflow programming models
ISSN:	1530-2075
Online-Zugang:	Volltext
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