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.
| Original language | English |
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| Title of host publication | RTCSA 2017 - 23rd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications |
| Publisher | IEEE |
| ISBN (Electronic) | 9781538618981 |
| DOIs | |
| Publication status | Published - 19 Sept 2017 |
| Event | 23rd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2017 - National Chiao-Tung University (NCTU), Hsinchu, Taiwan Duration: 16 Aug 2017 → 18 Aug 2017 |
Conference
| Conference | 23rd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2017 |
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| Country/Territory | Taiwan |
| City | Hsinchu |
| Period | 16/08/17 → 18/08/17 |
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture