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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Vydané v:	Proceedings - IEEE International Parallel and Distributed Processing Symposium s. 244 - 253
Hlavní autori:	Xubin Tan, Bosch, Jaume, Vidal, Miquel, Alvarez, Carlos, Jimenez-Gonzalez, Daniel, Ayguade, Eduard, Valero, Mateo
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2017
Predmet:	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
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