TY - GEN
T1 - Stochastic computation with Spin Torque Transfer Magnetic Tunnel Junction
AU - De Barros Naviner, Lirida Alves
AU - Cai, Hao
AU - Wang, You
AU - Zhao, Weisheng
AU - Ben Dhia, Arwa
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/8/6
Y1 - 2015/8/6
N2 - Stochastic Computing (SC) with random bit streams has been used to replace binary radix encoding. SC-based logic cicuits take advantage of area minimization, fast and accurate operation and inherent fault tolerance. In this paper, the stochastic characteristics inherent in Spin Torque Transfer Magnetic Tunnel Junction (STT-MTJ) bring on an innovative stochastic number generator (SNM) circuit. The hybrid MOS-MTJ process allows to design a 4T1M structure SNM with 1.98μm1.46μm layout area, using 28 nm ultra thin body and buried oxide fully depleted silicon-on-insulator (UTBB FD-SOI) technology. A case study of designed SNM is performed by polynomial function synthesis, which significantly reduces area. The proposed circuit also takes advantage of non-volatility and infinite endurance from STT-MTJs, which can be applied to reliability-aware circuits and systems1.
AB - Stochastic Computing (SC) with random bit streams has been used to replace binary radix encoding. SC-based logic cicuits take advantage of area minimization, fast and accurate operation and inherent fault tolerance. In this paper, the stochastic characteristics inherent in Spin Torque Transfer Magnetic Tunnel Junction (STT-MTJ) bring on an innovative stochastic number generator (SNM) circuit. The hybrid MOS-MTJ process allows to design a 4T1M structure SNM with 1.98μm1.46μm layout area, using 28 nm ultra thin body and buried oxide fully depleted silicon-on-insulator (UTBB FD-SOI) technology. A case study of designed SNM is performed by polynomial function synthesis, which significantly reduces area. The proposed circuit also takes advantage of non-volatility and infinite endurance from STT-MTJs, which can be applied to reliability-aware circuits and systems1.
KW - Approximate Computing
KW - Magnetic Tunnel Junction
KW - Stochastic Number Generator
UR - https://www.scopus.com/pages/publications/84945144135
U2 - 10.1109/NEWCAS.2015.7182031
DO - 10.1109/NEWCAS.2015.7182031
M3 - 会议稿件
AN - SCOPUS:84945144135
T3 - Conference Proceedings - 13th IEEE International NEW Circuits and Systems Conference, NEWCAS 2015
BT - Conference Proceedings - 13th IEEE International NEW Circuits and Systems Conference, NEWCAS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE International NEW Circuits and Systems Conference, NEWCAS 2015
Y2 - 7 June 2015 through 10 June 2015
ER -