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Abstract: Distributed parallel execution systems speed up applications by splitting tasks into processes whose execution is assigned to di#erent receiving nodes in a high-bandwidth network. On the distributing side, a fundamental problem is grouping and scheduling such tasks such that each one involves su#cient computational cost when compared to the task creation and communication costs and other such practical overheads. (Update)
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BibTeX entry: (Update)
@misc{ hermenegildo-some,
author = "M. Hermenegildo and E. Albert and P. Lopez-Garcia and G. Puebla",
title = "Some Techniques for Automated, Resource-Aware Distributed and Mobile Computing
in a Multi-Paradigm Programming System",
url = "citeseer.ist.psu.edu/698637.html" }
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