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 |
|---|---|
| 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 Sep 26 |
| Event | 2001 IEEE Interntional Conference on Acoustics, Speech, and Signal Processing - Salt Lake, UT, United States Duration: 2001 May 7 → 2001 May 11 |
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All Science Journal Classification (ASJC) codes
- Software
- Signal Processing
- Electrical and Electronic Engineering
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DSP datapath synthesis for low-power applications. / Chiou, Lih-Yih; Muhammand, K.; Roy, K.
In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 2, 26.09.2001, p. 1165-1168.Research output: Contribution to journal › Conference article
TY - JOUR
T1 - DSP datapath synthesis for low-power applications
AU - Chiou, Lih-Yih
AU - Muhammand, K.
AU - Roy, K.
PY - 2001/9/26
Y1 - 2001/9/26
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0034855046&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0034855046&partnerID=8YFLogxK
M3 - Conference article
VL - 2
SP - 1165
EP - 1168
JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
SN - 0736-7791
ER -