Conference proceeding
Temperature Aware Energy-Reliability Trade-offs for Mapping of Throughput-Constrained Applications on Multimedia MPSoCs
2014 DESIGN, AUTOMATION AND TEST IN EUROPE CONFERENCE AND EXHIBITION (DATE), pp 1-6
01 Jan 2014
Abstract
This paper proposes a design-time (offline) analysis technique to determine application task mapping and scheduling on a multiprocessor system and the voltage and frequency levels of all cores (offline DVFS) that minimize application computation and communication energy, simultaneously minimizing processor aging. The proposed technique incorporates (1) the effect of the voltage and frequency on the temperature of a core; (2) the effect of neighboring cores' voltage and frequency on the temperature (spatial effect); (3) pipelined execution and cyclic dependencies among tasks; and (4) the communication energy component which often constitutes a significant fraction of the total energy for multimedia applications. The temperature model proposed here can be easily integrated in the design space exploration for multiprocessor systems. Experiments conducted with MPEG-4 decoder on a real system demonstrate that the temperature using the proposed model is within 5% of the actual temperature clearly demonstrating its accuracy. Further, the overall optimization technique achieves 40% savings in energy consumption with 6% increase in system lifetime.
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Details
- Title
- Temperature Aware Energy-Reliability Trade-offs for Mapping of Throughput-Constrained Applications on Multimedia MPSoCs
- Creators
- Anup Das - Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117548, SingaporeAkash Kumar - Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117548, SingaporeBharadwaj Veeravalli - Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117548, SingaporeIEEE
- Publication Details
- 2014 DESIGN, AUTOMATION AND TEST IN EUROPE CONFERENCE AND EXHIBITION (DATE), pp 1-6
- Series
- Design Automation and Test in Europe Conference and Exhibition
- Publisher
- IEEE
- Number of pages
- 6
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000354965500102
- Other Identifier
- 991019295301204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Automation & Control Systems
- Engineering, Electrical & Electronic
- Engineering, Industrial