TY - GEN
T1 - NVMLearn
T2 - 2017 IEEE International Conference on Applied System Innovation, ICASI 2017
AU - Lu, Darsen D.
AU - Liang, Fu Xiang
AU - Wang, Yi Ci
AU - Zeng, Huai Kuan
PY - 2017/7/21
Y1 - 2017/7/21
N2 - Hardware implementation of deep machine learning using the convolutional neural network has been successfully demonstrated using array architecture with non-volatile storage elements such as floating-gate MOS transistor, resistive memory, phase change memory, etc. We present a new simulation platform, NVMLearn, to aid the design, verification, and system-level power and performance estimation for such architecture. Physical characteristics of memory devices are modeled using Verilog-A compact models, which can be easily simulated in SPICE to obtain the device programming, erasure, and read behavior. On the system level, NVMLearn simulates the training of the entire convolutional network based on any non-volatile memory device type.
AB - Hardware implementation of deep machine learning using the convolutional neural network has been successfully demonstrated using array architecture with non-volatile storage elements such as floating-gate MOS transistor, resistive memory, phase change memory, etc. We present a new simulation platform, NVMLearn, to aid the design, verification, and system-level power and performance estimation for such architecture. Physical characteristics of memory devices are modeled using Verilog-A compact models, which can be easily simulated in SPICE to obtain the device programming, erasure, and read behavior. On the system level, NVMLearn simulates the training of the entire convolutional network based on any non-volatile memory device type.
UR - http://www.scopus.com/inward/record.url?scp=85028540400&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028540400&partnerID=8YFLogxK
U2 - 10.1109/ICASI.2017.7988347
DO - 10.1109/ICASI.2017.7988347
M3 - Conference contribution
AN - SCOPUS:85028540400
T3 - Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017
SP - 66
EP - 69
BT - Proceedings of the 2017 IEEE International Conference on Applied System Innovation
A2 - Meen, Teen-Hang
A2 - Lam, Artde Donald Kin-Tak
A2 - Prior, Stephen D.
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 May 2017 through 17 May 2017
ER -