Title :
VARIUS-NTV: A microarchitectural model to capture the increased sensitivity of manycores to process variations at near-threshold voltages
Author :
Karpuzcu, Ulya R. ; Kolluru, Krishna B. ; Kim, Nam Sung ; Torrellas, Josep
Author_Institution :
Univ. of Illinois Urbana-Champaign, Champaign, IL, USA
Abstract :
Near-Threshold Computing (NTC), where the supply voltage is only slightly higher than the threshold voltage of transistors, is a promising approach to attain energy-efficient computing. Unfortunately, compared to the conventional Super-Threshold Computing (STC), NTC is more sensitive to process variations, which results in higher power consumption and lower frequencies than would otherwise be possible, and potentially a non-negligible fault rate. To help address variations at NTC at the architecture level, this paper presents the first microarchitectural model of process variations for NTC. The model, called VARIUS-NTV, extends the existing VARIUS variation model. Its key aspects include: (i) adopting a gate-delay model and an SRAM cell type that are tailored to NTC, (ii) modeling SRAM failure modes emerging at NTC, and (iii) accounting for the impact of leakage in SRAM models. We evaluate a simulated 11nm, 288-core tiled manycore at both NTC and STC. The results show higher frequency and power variations within the NTC chip. For example, the maximum difference in on-chip tile frequency is ≈2.3× at STC and ≈3.7× at NTC. We also validate our model against an experimental chip.
Keywords :
SRAM chips; energy conservation; failure analysis; leakage currents; multiprocessing systems; performance evaluation; power aware computing; NTC chip; SRAM failure mode modeling; VARIUS variation model; VARIUS-NTV; energy-efficient computing; gate-delay model; many-core process variations; microarchitectural model; near-threshold computing; near-threshold voltages; on-chip tile frequency; power consumption; power variations; simulated 288-core tiled manycore architecture evaluation; size 11 nm; Computational modeling; Computer architecture; Delay; Logic gates; Mathematical model; Random access memory; Transistors; Manycore architectures; Near-threshold voltage; Power constraints; Process variations; SRAM fault models;
Conference_Titel :
Dependable Systems and Networks (DSN), 2012 42nd Annual IEEE/IFIP International Conference on
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4673-1624-8
Electronic_ISBN :
1530-0889
DOI :
10.1109/DSN.2012.6263951