Efficiency Limits for Value-Deviation-Bounded Approximate Communication
Transferring data between integrated circuits accounts for a growing proportion of system power in wearable and mobile systems. The dynamic component of power dissipated in this data transfer can be reduced by reducing signal transitions. Techniques for reducing signal transitions on communication l...
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| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2017
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| Online Access: | http://hdl.handle.net/1721.1/110943 https://orcid.org/0000-0001-7752-2083 https://orcid.org/0000-0001-8095-8523 |
| _version_ | 1811080385709211648 |
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| author | Stanley-Marbell, Phillip Rinard, Martin C |
| author2 | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
| author_facet | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Stanley-Marbell, Phillip Rinard, Martin C |
| author_sort | Stanley-Marbell, Phillip |
| collection | MIT |
| description | Transferring data between integrated circuits accounts for a growing proportion of system power in wearable and mobile systems. The dynamic component of power dissipated in this data transfer can be reduced by reducing signal transitions. Techniques for reducing signal transitions on communication links have traditionally been targeted at parallel buses and can therefore not be applied when the transfer interfaces are serial buses. In this article, we address the issue of the best-case effectiveness of techniques to reduce signal transitions on serial buses, if these techniques also allow some error in the numeric interpretation of transmitted data. For many embedded applications, exchanging numeric accuracy for power reduction is a worthwhile tradeoff. We present a study of the efficiency of these value-deviation-bounded approximate serial data encoders (VDBS data encoders) and proofs of their properties. The bounds and proofs we present yield new insights into the best possible tradeoffs between dynamic power reduction and approximation error that can be achieved in practice. The insights are important regardless of whether actual practical VDBS data encoders are implemented in software or in hardware. |
| first_indexed | 2024-09-23T11:30:46Z |
| format | Article |
| id | mit-1721.1/110943 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T11:30:46Z |
| publishDate | 2017 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1109432022-09-27T20:03:06Z Efficiency Limits for Value-Deviation-Bounded Approximate Communication Stanley-Marbell, Phillip Rinard, Martin C Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Stanley-Marbell, Phillip Rinard, Martin C Transferring data between integrated circuits accounts for a growing proportion of system power in wearable and mobile systems. The dynamic component of power dissipated in this data transfer can be reduced by reducing signal transitions. Techniques for reducing signal transitions on communication links have traditionally been targeted at parallel buses and can therefore not be applied when the transfer interfaces are serial buses. In this article, we address the issue of the best-case effectiveness of techniques to reduce signal transitions on serial buses, if these techniques also allow some error in the numeric interpretation of transmitted data. For many embedded applications, exchanging numeric accuracy for power reduction is a worthwhile tradeoff. We present a study of the efficiency of these value-deviation-bounded approximate serial data encoders (VDBS data encoders) and proofs of their properties. The bounds and proofs we present yield new insights into the best possible tradeoffs between dynamic power reduction and approximation error that can be achieved in practice. The insights are important regardless of whether actual practical VDBS data encoders are implemented in software or in hardware. 2017-08-15T13:37:37Z 2017-08-15T13:37:37Z 2015-09 Article http://purl.org/eprint/type/JournalArticle 1943-0663 1943-0671 http://hdl.handle.net/1721.1/110943 Stanley-Marbell, Phillip, and Rinard, Martin. “Efficiency Limits for Value-Deviation-Bounded Approximate Communication.” IEEE Embedded Systems Letters 7, 4 (December 2015): 109–112 © 2015 Institute of Electrical and Electronics Engineers (IEEE) https://orcid.org/0000-0001-7752-2083 https://orcid.org/0000-0001-8095-8523 en_US http://dx.doi.org/10.1109/LES.2015.2475216 IEEE Embedded Systems Letters Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) MIT Web Domain |
| spellingShingle | Stanley-Marbell, Phillip Rinard, Martin C Efficiency Limits for Value-Deviation-Bounded Approximate Communication |
| title | Efficiency Limits for Value-Deviation-Bounded Approximate Communication |
| title_full | Efficiency Limits for Value-Deviation-Bounded Approximate Communication |
| title_fullStr | Efficiency Limits for Value-Deviation-Bounded Approximate Communication |
| title_full_unstemmed | Efficiency Limits for Value-Deviation-Bounded Approximate Communication |
| title_short | Efficiency Limits for Value-Deviation-Bounded Approximate Communication |
| title_sort | efficiency limits for value deviation bounded approximate communication |
| url | http://hdl.handle.net/1721.1/110943 https://orcid.org/0000-0001-7752-2083 https://orcid.org/0000-0001-8095-8523 |
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