TY - GEN
T1 - Analyzing the dark silicon phenomenon in a many-core chip multi-processor under deeply-scaled process technologies
AU - Shafaei, Alireza
AU - Xue, Yuankun
AU - Wang, Yanzhi
AU - Bogdan, Paul
AU - Ramadurgam, Srikanth
AU - Pedram, Massoud
N1 - Funding Information:
This research is supported by grants from the PERFECT program of the Defense Advanced Research Projects Agency and the Software and Hardware Foundations of the National Science Foundation.
PY - 2015/5/20
Y1 - 2015/5/20
N2 - The impact of dark silicon phenomenon on multicore processors under deeply-scaled FinFET technologies is investigated in this paper. To do this accurately, a cross-layer framework, spanning device, circuit, and architecture levels is initially introduced. Using this framework, leakage and dynamic power consumptions as well as frequency levels of in-order and out-of-order (OoO) processor cores, and on-chip cache memories and routers in a network-on-chip-based chip multiprocessor system synthesized in 7nm FinFET technology and operating in both super-and near-threshold voltage regimes are presented. Subsequently, total power consumptions of multicore chips manufactured with (i) OoO and (ii) in-order processor cores are reported and compared. According to our results, for a 64-core chip and 15W thermal design power budget, 64% and 39% dark silicon are observed in OoO and in-order multicores, respectively, under super-threshold regime. These percentages drop to 19% and 0% for OoO and in-order multicores operating in the near-threshold regime, respectively. Furthermore, the highest energy efficiencies are achieved by operating in the nearthreshold regime, which points to the effectiveness of near-threshold computing in mitigating the effect of dark silicon phenomenon under deeply-scaled technologies.
AB - The impact of dark silicon phenomenon on multicore processors under deeply-scaled FinFET technologies is investigated in this paper. To do this accurately, a cross-layer framework, spanning device, circuit, and architecture levels is initially introduced. Using this framework, leakage and dynamic power consumptions as well as frequency levels of in-order and out-of-order (OoO) processor cores, and on-chip cache memories and routers in a network-on-chip-based chip multiprocessor system synthesized in 7nm FinFET technology and operating in both super-and near-threshold voltage regimes are presented. Subsequently, total power consumptions of multicore chips manufactured with (i) OoO and (ii) in-order processor cores are reported and compared. According to our results, for a 64-core chip and 15W thermal design power budget, 64% and 39% dark silicon are observed in OoO and in-order multicores, respectively, under super-threshold regime. These percentages drop to 19% and 0% for OoO and in-order multicores operating in the near-threshold regime, respectively. Furthermore, the highest energy efficiencies are achieved by operating in the nearthreshold regime, which points to the effectiveness of near-threshold computing in mitigating the effect of dark silicon phenomenon under deeply-scaled technologies.
KW - Dark silicon
KW - FinFET devices
KW - Near-threshold computing
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U2 - 10.1145/2742060.2742096
DO - 10.1145/2742060.2742096
M3 - Conference contribution
AN - SCOPUS:84955474013
T3 - Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI
SP - 127
EP - 132
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 -