Compiler Generated Progress Estimation for OpenMP Programs
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-25636-4_9
Reference13 articles.
1. Anantpur, J., Govindarajan, R.: PRO: Progress Aware GPU Warp Scheduling Algorithm. In: 2015 IEEE International Parallel and Distributed Processing Symposium, pp. 979–988, May 2015
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3. Duran, A., Teruel, X., Ferrer, R., Martorell, X., Ayguade, E.: Barcelona OpenMP Tasks Suite: A Set of Benchmarks Targeting the Exploitation of Task Parallelism in OpenMP. In: 2009 International Conference on Parallel Processing, pp. 124–131 (2009)
4. Feliu, J., Sahuquillo, J., Petit, S., Duato, J.: Addressing fairness in SMT multicores with a progress-aware scheduler. In: 2015 IEEE International on Parallel and Distributed Processing Symposium (IPDPS), pp. 187–196. IEEE (2015)
5. Georgakoudis, G., Vandierendonck, H., Thoman, P., Supinski, B.R.D., Fahringer, T., Nikolopoulos, D.S.: SCALO: Scalability-Aware Parallelism Orchestration for Multi-Threaded Workloads. ACM Trans. Archit. Code Optim. 14(4), 54:1–54:25 (2017)
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