TY - GEN
T1 - FPGA-accelerator system for computing biologically inspired feature extraction models
AU - DeBole, Michael
AU - Xiao, Yang
AU - Yu, Chi Li
AU - Al Maashri, Ahmed
AU - Cotter, Matthew
AU - Chakrabarti, Chaitali
AU - Narayanan, Vijaykrishnan
PY - 2011
Y1 - 2011
N2 - Neuromorphic algorithms for computer-based vision may be the next step towards improving the way computers gather and interpret visual information. However, these algorithms typically have high computational demands making them difficult to deploy in embedded environments where power consumption is equally as important as performance. In this paper, we present an embedded implementation of a ventral visual pathway model, HMAX. We describe an embedded FPGA system that implements the model, as well as accelerator engines necessary to ensure adequate performance. The final system is shown to operate within a power budget of 3W while achieving up to 16.5X speedup over a pure embedded processor implementation.
AB - Neuromorphic algorithms for computer-based vision may be the next step towards improving the way computers gather and interpret visual information. However, these algorithms typically have high computational demands making them difficult to deploy in embedded environments where power consumption is equally as important as performance. In this paper, we present an embedded implementation of a ventral visual pathway model, HMAX. We describe an embedded FPGA system that implements the model, as well as accelerator engines necessary to ensure adequate performance. The final system is shown to operate within a power budget of 3W while achieving up to 16.5X speedup over a pure embedded processor implementation.
KW - Embedded Hardware
KW - FPGA
KW - Neuromorphic vision algorithms
KW - Signal Processing Hardware
UR - http://www.scopus.com/inward/record.url?scp=84861309075&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84861309075&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2011.6190106
DO - 10.1109/ACSSC.2011.6190106
M3 - Conference contribution
AN - SCOPUS:84861309075
SN - 9781467303231
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 751
EP - 755
BT - Conference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
T2 - 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
Y2 - 6 November 2011 through 9 November 2011
ER -