Improved state integrity of flip-flops for voltage scaled retention under PVT variation
Improved state integrity of flip-flops for voltage scaled retention under PVT variation
Through measurements from 82 test chips, each with a state retention block of 8192 flip-flops, implemented using 65-nm design library, we demonstrate that state integrity of a flip-flop is sensitive to process, voltage, and temperature (PVT) variation. It has been found at 25?C that First Failure Voltage (FFV) of flip-flops varies from die to die, ranging from 245-mV to 315-mV, with 79% of total dies exhibiting single bit failure at FFV, while the rest show multi-bit failure. In terms of temperature variation, it has been found that FFV increases by up to 30-mV with increase in temperature from 25?C to 79?C, demonstrating its sensitivity to temperature variation. This work proposes a PVT-aware state-protection technique to ensure state integrity of flip-flops, while achieving maximum leakage savings. The proposed technique consists of characterization algorithm to determine minimum state retention voltage (MRV) of each die, and employs horizontal and vertical parity for error detection and single bit error correction. In case of error detection, it dynamically adjusts MRV per die to avoid subsequent errors. Silicon results show that at characterized MRV, flip-flop state integrity is preserved, while achieving up to 17.6% reduction in retention voltage across 82-dies.
state integrity, state retention, voltage scaling, online error detection and correction, leakage power reduction
1-9
Yang, Sheng
04b9848f-ddd4-4d8f-93b6-b91a2144d49c
Khursheed, Saqib
0c4e3d52-0df5-43d9-bafe-d2eaea457506
Al-Hashimi, Bashir M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
Flynn, David
9cb44648-488b-4f22-b72b-7e5117cd919c
Merrett, Geoff V.
89b3a696-41de-44c3-89aa-b0aa29f54020
Yang, Sheng
04b9848f-ddd4-4d8f-93b6-b91a2144d49c
Khursheed, Saqib
0c4e3d52-0df5-43d9-bafe-d2eaea457506
Al-Hashimi, Bashir M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
Flynn, David
9cb44648-488b-4f22-b72b-7e5117cd919c
Merrett, Geoff V.
89b3a696-41de-44c3-89aa-b0aa29f54020
Yang, Sheng, Khursheed, Saqib, Al-Hashimi, Bashir M., Flynn, David and Merrett, Geoff V.
(2013)
Improved state integrity of flip-flops for voltage scaled retention under PVT variation.
IEEE Transactions on Circuits and Systems I: Regular Papers, 60 (11), .
(doi:10.1109/TCSI.2013.2252640).
Abstract
Through measurements from 82 test chips, each with a state retention block of 8192 flip-flops, implemented using 65-nm design library, we demonstrate that state integrity of a flip-flop is sensitive to process, voltage, and temperature (PVT) variation. It has been found at 25?C that First Failure Voltage (FFV) of flip-flops varies from die to die, ranging from 245-mV to 315-mV, with 79% of total dies exhibiting single bit failure at FFV, while the rest show multi-bit failure. In terms of temperature variation, it has been found that FFV increases by up to 30-mV with increase in temperature from 25?C to 79?C, demonstrating its sensitivity to temperature variation. This work proposes a PVT-aware state-protection technique to ensure state integrity of flip-flops, while achieving maximum leakage savings. The proposed technique consists of characterization algorithm to determine minimum state retention voltage (MRV) of each die, and employs horizontal and vertical parity for error detection and single bit error correction. In case of error detection, it dynamically adjusts MRV per die to avoid subsequent errors. Silicon results show that at characterized MRV, flip-flop state integrity is preserved, while achieving up to 17.6% reduction in retention voltage across 82-dies.
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e-pub ahead of print date: 2 April 2013
Keywords:
state integrity, state retention, voltage scaling, online error detection and correction, leakage power reduction
Organisations:
Electronic & Software Systems
Identifiers
Local EPrints ID: 348727
URI: http://eprints.soton.ac.uk/id/eprint/348727
ISSN: 1549-8328
PURE UUID: 31793cc3-1dfd-45f3-9722-68a62758621b
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Date deposited: 18 Feb 2013 15:37
Last modified: 15 Mar 2024 03:23
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Contributors
Author:
Sheng Yang
Author:
Saqib Khursheed
Author:
Bashir M. Al-Hashimi
Author:
David Flynn
Author:
Geoff V. Merrett
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