Abstract
In this paper, we focus on the scheduling of Laplace task graph on a general platform where both communication links and processing units are heterogeneous. In this context, it is known that deriving optimal algorithm, in the sense of makespan minimization, is NP-Complete, and several inapproximation results have been proved. Nevertheless, we provide an asymtotically optimal algorithm in this general context. Moreover, we expect that this methodolgy can be extended to more general task graphs, especially for nested loops where the inner-most loop is parallel.
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Beaumont, O., Ramet, P., Roman, J. (2004). Asymptotically Optimal Algorithm for Laplace Task Graphs on Heterogeneous Platforms. In: Wyrzykowski, R., Dongarra, J., Paprzycki, M., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2003. Lecture Notes in Computer Science, vol 3019. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24669-5_114
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DOI: https://doi.org/10.1007/978-3-540-24669-5_114
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21946-0
Online ISBN: 978-3-540-24669-5
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