DocumentCode
492681
Title
ILP based data parallel multi-task mapping/scheduling technique for MPSoC
Author
Yang, Hoeseok ; Ha, Soonhoi
Author_Institution
Sch. of EECS, Seoul Nat. Univ., Seoul
Volume
01
fYear
2008
fDate
24-25 Nov. 2008
Abstract
In this paper, we propose a multi-task mapping/scheduling technique for heterogeneous and scalable MPSoC. To cope with ever increasing computational demand and to utilize large number of cores effectively, the proposed technique considers data parallelism as well as task parallelism. The solution is based on ILP (Integer Linear Programming) and its effectiveness is proven by experiments with real-life examples.
Keywords
integer programming; linear programming; multiprocessing systems; parallel programming; processor scheduling; system-on-chip; MPSoC; data parallel multi-task mapping; data parallel multi-task scheduling; integer linear programming; multi-processor system-on-a-chip; task parallelism; Concurrent computing; Delay; Genetic algorithms; Integer linear programming; Parallel processing; Parallel programming; Processor scheduling; Programming profession; System performance; Timing; MPSoC; component; data parallelism; mapping; scheduling;
fLanguage
English
Publisher
ieee
Conference_Titel
SoC Design Conference, 2008. ISOCC '08. International
Conference_Location
Busan
Print_ISBN
978-1-4244-2598-3
Electronic_ISBN
978-1-4244-2599-0
Type
conf
DOI
10.1109/SOCDC.2008.4815591
Filename
4815591
Link To Document