Task scheduling for heterogeneous systems using an incremental approach
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/s11227-016-1894-5/fulltext.html
Reference40 articles.
1. Abdel-Wahab HM, Kameda T (1978) Scheduling to minimize maximum cumulative cost subject to series-parallel precedence constraints. Oper Res 26(26):141–158
2. Ahmad I, Kwok YK (1998) On exploiting task duplication in parallel program scheduling. IEEE Trans Parallel Distrib Syst 9(9):872–892
3. Al-Mouhamed MA (1990) Lower bound on the number of processors and time for scheduling precedence graphs with communication costs. IEEE Trans Softw Eng 16:1390–1401
4. Almeida VAF, Vasconcelos IMM, Árabe JNC, Menascé DA (1992) Using random task graphs to investigate the potential benefits of heterogeneity in parallel systems. In: Supercomputing ’92: Proceedings of the 1992 ACM/IEEE Conference on Supercomputing. IEEE Computer Society Press, Los Alamitos, pp 683–691
5. Arabnia HR (1990) A parallel algorithm for the arbitrary rotation of digitized images using process-and-data-decomposition approach. J Parallel Distrib Comput 10(2):188–192
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