Please use this identifier to cite or link to this item:
Title: Coarse grain parallelization using Integer Programming
Keywords: Integer programming
Issue Date: 2013
Abstract: There is an increasing need for automatic tools and techniques for application parallelization. Within the ALMA toolset, programs written in Scilab are automatically parallelized for execution on embedded multicore platforms. In this paper, key parts of the coarse grain parallelism optimization are presented. The coarse grain parallelism optimization considers the hierarchical task graph of a program and produces an optimized parallel schedule.
Appears in Collections:Δημοσιεύσεις σε Συνέδρια

Files in This Item:
There are no files associated with this item.

Items in CRIS are protected by copyright, with all rights reserved, unless otherwise indicated.