Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICPADS.2012.82
Title: Energy-aware communication and remapping of tasks for reliable multimedia multiprocessor systems
Authors: Das, A.
Kumar, A. 
Veeravalli, B. 
Keywords: Communication energy
Fault-tolerance
Linear programming
Synchronous data flow graph
Task mapping
Issue Date: 2012
Source: Das, A., Kumar, A., Veeravalli, B. (2012). Energy-aware communication and remapping of tasks for reliable multimedia multiprocessor systems. Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS : 564-571. ScholarBank@NUS Repository. https://doi.org/10.1109/ICPADS.2012.82
Abstract: Shrinking transistor geometries, aggressive voltage scaling and higher operating frequencies have negatively impacted the dependability of embedded multiprocessor systems-on-chip (MPSoCs). Fault-tolerance and energy efficiency are the two most desired features of modernday MPSoCs. For most of the multimedia applications, task communication energy constitutes more than 40% of the overall application energy. In this paper, an integer linear programming (ILP) based approach is proposed to reduce the communication energy and fault-tolerant migration overhead of throughput-constrained multimedia applications modeled using synchronous data flow graphs (SDFGs). The ILP is solved at compile-time for all fault-scenarios to generate task-core mappings satisfying an application throughput requirement. These mappings are stored in a table which is looked up at run-time as and when faults occur. Experiments conducted with real and synthetic applications demonstrate that the proposed technique reduces communication energy by an average 40% and migration overhead by 33% as compared to the existing fault-tolerant techniques. © 2012 IEEE.
Source Title: Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
URI: http://scholarbank.nus.edu.sg/handle/10635/70173
ISBN: 9780769549033
ISSN: 15219097
DOI: 10.1109/ICPADS.2012.82
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