Reducing serial I/O power in error-tolerant applications by efficient lossy encoding
Transferring data between integrated circuits (ICs) accounts for an important fraction of the power dissipation in wearable and mobile systems. Reducing signal transitions reduces the dynamic power dissipated in the data transfer between ICs. Techniques such as Gray coding to reduce transitions betw...
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Association for Computing Machinery
2018
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Online Access: | http://hdl.handle.net/1721.1/113651 https://orcid.org/0000-0001-7752-2083 https://orcid.org/0000-0001-8095-8523 |
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author | Stanley-Marbell, Phillip Rinard, Martin C |
author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Stanley-Marbell, Phillip Rinard, Martin C |
author_sort | Stanley-Marbell, Phillip |
collection | MIT |
description | Transferring data between integrated circuits (ICs) accounts for an important fraction of the power dissipation in wearable and mobile systems. Reducing signal transitions reduces the dynamic power dissipated in the data transfer between ICs. Techniques such as Gray coding to reduce transitions between two parallel words cannot be applied when the signal transitions are between bits of a single serialized word.
This paper introduces value-deviation-bounded serial encoding (VDBS encoding). VDBS encoding significantly reduces signal transitions between bits of a single serialized word, trading power efficiency for data accuracy. This tradeoff is worthwhile when the data are from signal sources such as sensors and destined for consumption by signal processing algorithms that are error-tolerant.
We present analytic formulas for the Pareto-optimal VDBS encoders and introduce an efficient algorithm, Rake, that reduces transitions almost as much as the optimum transition-reducing encoder. We evaluate Rake by encoding data in a pedometer system and in a text-recognition system. For the pedometer, Rake reduces transitions by 54% on average, in exchange for step count errors smaller than 5%. For the text recognizer, Rake reduces transitions by 55% on average, while maintaining OCR accuracy above 90 %. |
first_indexed | 2024-09-23T08:38:06Z |
format | Article |
id | mit-1721.1/113651 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T08:38:06Z |
publishDate | 2018 |
publisher | Association for Computing Machinery |
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spelling | mit-1721.1/1136512022-09-23T13:27:41Z Reducing serial I/O power in error-tolerant applications by efficient lossy encoding Stanley-Marbell, Phillip Rinard, Martin C Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Stanley-Marbell, Phillip Rinard, Martin C Transferring data between integrated circuits (ICs) accounts for an important fraction of the power dissipation in wearable and mobile systems. Reducing signal transitions reduces the dynamic power dissipated in the data transfer between ICs. Techniques such as Gray coding to reduce transitions between two parallel words cannot be applied when the signal transitions are between bits of a single serialized word. This paper introduces value-deviation-bounded serial encoding (VDBS encoding). VDBS encoding significantly reduces signal transitions between bits of a single serialized word, trading power efficiency for data accuracy. This tradeoff is worthwhile when the data are from signal sources such as sensors and destined for consumption by signal processing algorithms that are error-tolerant. We present analytic formulas for the Pareto-optimal VDBS encoders and introduce an efficient algorithm, Rake, that reduces transitions almost as much as the optimum transition-reducing encoder. We evaluate Rake by encoding data in a pedometer system and in a text-recognition system. For the pedometer, Rake reduces transitions by 54% on average, in exchange for step count errors smaller than 5%. For the text recognizer, Rake reduces transitions by 55% on average, while maintaining OCR accuracy above 90 %. 2018-02-14T14:55:24Z 2018-02-14T14:55:24Z 2016-06 Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-4236-0 http://hdl.handle.net/1721.1/113651 Stanley-Marbell, Phillip, and Martin Rinard. "Reducing Serial I/O Power in Error-Tolerant Applications by Efficient Lossy Encoding." Proceedings of the 53rd Annual Design Automation Conference on - DAC '16, 5-9 June 2015, Austin, Texas, ACM Press, 2016, pp. 1–6 https://orcid.org/0000-0001-7752-2083 https://orcid.org/0000-0001-8095-8523 en_US http://dx.doi.org/10.1145/2897937.2898079 Proceedings of the 53rd Annual Design Automation Conference on - DAC '16 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery MIT Web Domain |
spellingShingle | Stanley-Marbell, Phillip Rinard, Martin C Reducing serial I/O power in error-tolerant applications by efficient lossy encoding |
title | Reducing serial I/O power in error-tolerant applications by efficient lossy encoding |
title_full | Reducing serial I/O power in error-tolerant applications by efficient lossy encoding |
title_fullStr | Reducing serial I/O power in error-tolerant applications by efficient lossy encoding |
title_full_unstemmed | Reducing serial I/O power in error-tolerant applications by efficient lossy encoding |
title_short | Reducing serial I/O power in error-tolerant applications by efficient lossy encoding |
title_sort | reducing serial i o power in error tolerant applications by efficient lossy encoding |
url | http://hdl.handle.net/1721.1/113651 https://orcid.org/0000-0001-7752-2083 https://orcid.org/0000-0001-8095-8523 |
work_keys_str_mv | AT stanleymarbellphillip reducingserialiopowerinerrortolerantapplicationsbyefficientlossyencoding AT rinardmartinc reducingserialiopowerinerrortolerantapplicationsbyefficientlossyencoding |