Conference proceeding
Energy-Aware Communication and Remapping of Tasks for Reliable Multimedia Multiprocessor Systems
PROCEEDINGS OF THE 2012 IEEE 18TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS 2012), pp 564-571
01 Jan 2012
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 modern-day 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.
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Details
- Title
- Energy-Aware Communication and Remapping of Tasks for Reliable Multimedia Multiprocessor Systems
- Creators
- Anup Das - National University of SingaporeAkash Kumar - National University of SingaporeBharadwaj Veeravalli - National University of SingaporeIEEE
- Publication Details
- PROCEEDINGS OF THE 2012 IEEE 18TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS 2012), pp 564-571
- Series
- International Conference on Parallel and Distributed Systems - Proceedings
- Publisher
- IEEE
- Number of pages
- 8
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000316367500072
- Scopus ID
- 2-s2.0-84874079183
- Other Identifier
- 991019295191804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Hardware & Architecture