TY - GEN
T1 - Ultra-low energy reconfigurable spintronic threshold logic gate
AU - Fan, Deliang
PY - 2016/5/18
Y1 - 2016/5/18
N2 - This paper introduces a novel design of reconfigurable Spintronic Threshold Logic Gate (STLG), which employs spintronic weight devices to perform current mode weighted summation of binary inputs, whereas, the low voltage spintronic threshold device carries out the thresholding operation in an energy efficient manner. The proposed STLG can operate at a small terminal voltage of ∼50mV, resulting in ultra-low energy consumption. The device-circuit simulation results for common benchmarks show that the proposed STLG circuit can achieve 87.5% and 11.1% energy reduction compared with state-of-the-art CMOS look-up-table (LUT) and Memristive Threshold Logic Gate (MTLG) respectively. The ultra-low programming energy of spintronic weight device also leads to three orders lower reconfiguration energy of STLG compared with MTLG design.
AB - This paper introduces a novel design of reconfigurable Spintronic Threshold Logic Gate (STLG), which employs spintronic weight devices to perform current mode weighted summation of binary inputs, whereas, the low voltage spintronic threshold device carries out the thresholding operation in an energy efficient manner. The proposed STLG can operate at a small terminal voltage of ∼50mV, resulting in ultra-low energy consumption. The device-circuit simulation results for common benchmarks show that the proposed STLG circuit can achieve 87.5% and 11.1% energy reduction compared with state-of-the-art CMOS look-up-table (LUT) and Memristive Threshold Logic Gate (MTLG) respectively. The ultra-low programming energy of spintronic weight device also leads to three orders lower reconfiguration energy of STLG compared with MTLG design.
KW - Magnetic domain wall strip
KW - Magnetic tunnel junction
KW - Reconfigurable logic
KW - Spintronic
KW - Threshold logic
UR - http://www.scopus.com/inward/record.url?scp=84974717552&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84974717552&partnerID=8YFLogxK
U2 - 10.1145/2902961.2902994
DO - 10.1145/2902961.2902994
M3 - Conference contribution
AN - SCOPUS:84974717552
T3 - Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI
SP - 385
EP - 388
BT - GLSVLSI 2016 - Proceedings of the 2016 ACM Great Lakes Symposium on VLSI
PB - Association for Computing Machinery
T2 - 26th ACM Great Lakes Symposium on VLSI, GLSVLSI 2016
Y2 - 18 May 2016 through 20 May 2016
ER -