TY - GEN
T1 - Fine-grained voltage boosting for improving yield in near-threshold many-core processors
AU - Kong, Joonho
AU - Munir, Arslan
AU - Koushanfar, Farinaz
N1 - Publisher Copyright:
Copyright © 2015 ACM.
PY - 2015/5/20
Y1 - 2015/5/20
N2 - Process variation is a major impediment in optimizing yield, energy, and performance in near-threshold many-core processors. In this paper, we present a comprehensive analysis on yield losses in near-threshold many-core processors. Based on our analysis, we propose energyefficient yield improvement techniques for near-threshold many-core processors: SRAM cell arrays and Wordline driver voltage Boosting (SWBoost) and Cache voltage Boosting (CBoost). Results reveal that SWBoost and CBoost improve a chip yield by up to 66% and 83%, respectively. Furthermore, runtime energy overheads of SWBoost and CBoost are only 0.46% and 0.54%, respectively, which are much lower than conventional voltage boosting techniques.
AB - Process variation is a major impediment in optimizing yield, energy, and performance in near-threshold many-core processors. In this paper, we present a comprehensive analysis on yield losses in near-threshold many-core processors. Based on our analysis, we propose energyefficient yield improvement techniques for near-threshold many-core processors: SRAM cell arrays and Wordline driver voltage Boosting (SWBoost) and Cache voltage Boosting (CBoost). Results reveal that SWBoost and CBoost improve a chip yield by up to 66% and 83%, respectively. Furthermore, runtime energy overheads of SWBoost and CBoost are only 0.46% and 0.54%, respectively, which are much lower than conventional voltage boosting techniques.
KW - Near-threshold computing
KW - Process variations
KW - Voltage boosting
KW - Yield
UR - http://www.scopus.com/inward/record.url?scp=84955491651&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84955491651&partnerID=8YFLogxK
U2 - 10.1145/2742060.2742105
DO - 10.1145/2742060.2742105
M3 - Conference contribution
AN - SCOPUS:84955491651
T3 - Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI
SP - 225
EP - 228
BT - GLSVLSI 2015 - 25th 2015 Great Lakes Symposium on VLSI
PB - Association for Computing Machinery
T2 - 25th Great Lakes Symposium on VLSI, GLSVLSI 2015
Y2 - 20 May 2015 through 22 May 2015
ER -