Abstract
In this paper, we present a high-level synthesis technique targeting low power consumption for data-dominated applications. We have used a statistical estimation technique to obtain switching activity of modules when sharing of computing resources are required in a design. The technique enables us to understand switching behavior under resource sharing. Using the relationship between switching power and resource sharing thus obtained, we developed scheduling and allocation algorithms to reduce data path switching power. Experiments performed on various examples show up to 49% improvement in power reduction under resource constraints.
Original language | English |
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Pages (from-to) | 1165-1168 |
Number of pages | 4 |
Journal | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Volume | 2 |
Publication status | Published - 2001 |
Event | 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing - Salt Lake, UT, United States Duration: 2001 May 7 → 2001 May 11 |
All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Electrical and Electronic Engineering