TY - GEN
T1 - Low power motion estimation with probabilistic computing
AU - Dhoot, Charvi
AU - Mooney, Vincent J.
AU - Chau, Lap Pui
AU - Chowdhury, Shubhajit Roy
PY - 2011/7
Y1 - 2011/7
N2 - As Moore's law approaches the low nanometer range, predictions have been made that computing via future technology nodes may no longer be correct due to, for example, the presence of noise sources such as thermal noise. Probabilistic computing, a term coined for computing via devices that yield a probabilistically correct output, has earlier been shown as a means for realizing energy efficient computing in signal processing applications. In this paper, we explore the application of probabilistic computing for low power motion estimation. It is observed that motion estimation itself exhibits high resilience to erroneous computation. Simulations show that energy savings up to 44% can be achieved in motion estimation using full search block matching with probabilistic computing with a minor impact (under 0.5 dB) on the required quality of the output. A scheme of error correction based on the motion vector distribution is proposed that further increases the possible energy savings with full search block matching up to 57%.
AB - As Moore's law approaches the low nanometer range, predictions have been made that computing via future technology nodes may no longer be correct due to, for example, the presence of noise sources such as thermal noise. Probabilistic computing, a term coined for computing via devices that yield a probabilistically correct output, has earlier been shown as a means for realizing energy efficient computing in signal processing applications. In this paper, we explore the application of probabilistic computing for low power motion estimation. It is observed that motion estimation itself exhibits high resilience to erroneous computation. Simulations show that energy savings up to 44% can be achieved in motion estimation using full search block matching with probabilistic computing with a minor impact (under 0.5 dB) on the required quality of the output. A scheme of error correction based on the motion vector distribution is proposed that further increases the possible energy savings with full search block matching up to 57%.
KW - Error resilient design
KW - Low power design
KW - Motion estimation
KW - PCMOS architecture
KW - Probabilistic computing
UR - http://www.scopus.com/inward/record.url?scp=80052566978&partnerID=8YFLogxK
U2 - 10.1109/ISVLSI.2011.58
DO - 10.1109/ISVLSI.2011.58
M3 - Conference article published in proceeding or book
AN - SCOPUS:80052566978
SN - 9780769544472
T3 - Proceedings - 2011 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2011
SP - 176
EP - 181
BT - Proceedings - 2011 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2011
T2 - 2011 IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2011
Y2 - 4 July 2011 through 6 July 2011
ER -