This paper proposes an approach to continuously optimizing parallel scientific applications with dynamically changing architectures. We achieve this by combining a dynamic architecture and lookahead malleable task graph scheduling. © Springer-Verlag 2004.
CITATION STYLE
Andersson, J., Ericsson, M., Löwe, W., & Zimmermann, W. (2004). Lookahead scheduling for reconfigurable GRID systems. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3149, 263–270. https://doi.org/10.1007/978-3-540-27866-5_34
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