Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/74176
Title: Benchmarking OpenMP programs for real-time scheduling
Authors: Wang, Y
Guan, N 
Sun, J
Lv, M
He, Q
He, T
Yi, W
Issue Date: 2017
Publisher: Institute of Electrical and Electronics Engineers
Source: RTCSA 2017 - 23rd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2017, 8046322, p. 2 How to cite?
Abstract: Real-time systems are shifting from single-core to multi-core processors. Software must be parallelized to fully utilize the computation power of multi-core architecture. OpenMP is a popular parallel programming framework in general and high-performance computing, and recently has drawn a lot of interests in embedded and real-time computing. Much recent work has been done on real-time scheduling of OpenMP-based parallel workload. However, these studies conduct evaluations with randomly generated task systems, which cannot well represent the structure features of OpenMP workload. This paper presents a benchmark suite, ompTGB, to support research on real-time scheduling of OpenMP-based parallel tasks. ompTGB does not only collect realistic OpenMP programs, but also models them into task graphs so that the real-time scheduling researchers can easily understand and use them. We also present a new response time bound for a subset of OpenMP programs and use it to demonstrate the usage of ompTGB.
URI: http://hdl.handle.net/10397/74176
ISBN: 9781538618981
DOI: 10.1109/RTCSA.2017.8046322
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