HARS: a heterogeneity-aware runtime system for self-adaptive multithreaded applications

Heterogeneous multi-processing (HMP) is rapidly emerging as a promising solution for high-performance and low-power computing. Despite extensive prior work, system-software support for self-adaptive multithreaded applications has been little explored in the context of HMP. To bridge this gap, we pro...

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Bibliographische Detailangaben
Hauptverfasser:	Yun, Jaeyoung, Park, Jinsu, Baek, Woongki
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Benchmark testing Computing methodologies > Parallel computing methodologies > Parallel programming languages Heart beat Heterogeneous multiprocessing Linux Pipeline processing Program processors Runtime self-adaptive computing Software and its engineering > Software notations and tools > General programming languages > Language types > Parallel programming languages Space exploration
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