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Online Scheduling of Dynamic Task Graphs with Communication and Contention for Multiprocessors
January 2012 (vol. 23 no. 1)
pp. 126-133
ASCII Text
x 
 
R. Kumar, P. Choudhury, P. P. Chakrabarti, "Online Scheduling of Dynamic Task Graphs with Communication and Contention for Multiprocessors," IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 1, pp. 126-133, January, 2012.
 
 
BibTex
x
 
@article{ 10.1109/TPDS.2011.104,
author = {R. Kumar and P. Choudhury and P. P. Chakrabarti},
title = {Online Scheduling of Dynamic Task Graphs with Communication and Contention for Multiprocessors},
journal ={IEEE Transactions on Parallel and Distributed Systems},
volume = {23},
number = {1},
issn = {1045-9219},
year = {2012},
pages = {126-133},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPDS.2011.104},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Parallel and Distributed Systems
TI - Online Scheduling of Dynamic Task Graphs with Communication and Contention for Multiprocessors
IS - 1
SN - 1045-9219
SP126
EP133
EPD - 126-133
A1 - R. Kumar,
A1 - P. Choudhury,
A1 - P. P. Chakrabarti,
PY - 2012
KW - processor scheduling
KW - embedded systems
KW - graph theory
KW - schedule length
KW - online scheduling
KW - dynamic task graph
KW - multiprocessor embedded system
KW - homogeneous processor
KW - broadcast communication model
KW - point-to-point communication model
KW - Program processors
KW - Schedules
KW - Dynamic scheduling
KW - Optimal scheduling
KW - Scheduling algorithm
KW - edge scheduling.
KW - Multiprocessor scheduling
KW - task graphs
KW - static and online scheduling
VL - 23
JA - IEEE Transactions on Parallel and Distributed Systems
ER -
 
R. Kumar, Dept. of Comput. Sci. & Eng., Indian Inst. of Technol. Kharagpur, Kharagpur, India
P. P. Chakrabarti, Dept. of Comput. Sci. & Eng., Indian Inst. of Technol. Kharagpur, Kharagpur, India
This paper presents an online scheduling methodology for task graphs with communication edges for multiprocessor embedded systems. The proposed methodology is designed for task graphs which are dynamic in nature either due to the presence of conditional paths or due to presence of tasks whose execution times vary. We have assumed homogeneous processors with broadcast and point-to-point communication models and have presented online algorithms for them. We show that this technique adapts better to variation in task graphs at runtime and provides better schedule length compared to a static scheduling methodology. Experimental results indicate up to 21.5 percent average improvement over purely static schedulers. The effects of model parameters like number of processors, memory, and other task graph parameters on performance are investigated in this paper.

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Index Terms:
processor scheduling,embedded systems,graph theory,schedule length,online scheduling,dynamic task graph,multiprocessor embedded system,homogeneous processor,broadcast communication model,point-to-point communication model,Program processors,Schedules,Dynamic scheduling,Optimal scheduling,Scheduling algorithm,edge scheduling.,Multiprocessor scheduling,task graphs,static and online scheduling
Citation:
R. Kumar, P. Choudhury, P. P. Chakrabarti, "Online Scheduling of Dynamic Task Graphs with Communication and Contention for Multiprocessors," IEEE Transactions on Parallel and Distributed Systems, vol. 23, no. 1, pp. 126-133, Jan. 2012, doi:10.1109/TPDS.2011.104
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