E-OSched: a load balancing scheduler for heterogeneous multicores
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
http://link.springer.com/article/10.1007/s11227-018-2435-1/fulltext.html
Reference40 articles.
1. Albayrak OE, Akturk I, Ozturk O (2012) Effective kernel mapping for OpenCL applications in heterogeneous platforms. In: Proceedings of International Conference on Parallel Processing Work, pp 81–88. https://doi.org/10.1109/ICPPW.2012.14
2. Aleem M, Prodan R, Fahringer T (2011) Scheduling javasymphony applications on many-core parallel computers. In: Euro-Par 2011 Parallel Processing. Springer, pp 167–179
3. APP SDK [WWW Document], n.d. http://developer.amd.com/tools-and-sdks/opencl-zone/amd-accelerated-parallel-processing-app-sdk/ . Accessed 1 May 2017
4. Augonnet C, Thibault S, Namyst R, Wacrenier P-A, Wacrenier StarPU P-A (2011) StarPU: a unified platform for task scheduling on heterogeneous multicore architectures a unified platform for task scheduling on heterogeneous multicore architectures. Concurr Comput Pract Exp 23:187–198
5. Becchi M, Byna S, Cadambi S, Chakradhar S (2010) Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory. In: Proceedings of 22nd ACM Symposium Parallelism algorithms Architecture, pp 82–91. https://doi.org/10.1145/1810479.1810498
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