ITS: An ILP-based combined instruction/task static scheduling algorithm

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Title: ITS: An ILP-based combined instruction/task static scheduling algorithm
Authors: Montcalm, Michael
Shapiro, Daniel
Groza, Voicu
Bolic, Miodrag
Date: 4-May-2010
Abstract: Our combined task and instruction static scheduling algorithm implemented in the COINS compiler uses an Integer Linear Programming model to find a schedule for a program on a symmetric multiprocessor system-on-chip. We compare our work to state of the art approaches and on average we find a speedup as high as 1.49 compared to a static task scheduling approach without instruction scheduling. Depending on the computation to communication ratio of the application we estimate an average speedup of 2.55 to 2.63 in application execution time compared to sequential code.
URL: http://hdl.handle.net/10393/12897
CollectionScience informatique et génie électrique // Electrical Engineering and Computer Science
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