Embedded Transition Inversion Coding With Low Switching Activity for Serial Links

Chiu, Ching-Te; Huang, Wei; Lin, Chih-Hsing; Lai, Wei-Chih; Tsao, Ying-Fang

doi:10.1109/tvlsi.2012.2219888

Cited by 9 publications

(5 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The average deviation induced by Rake is also better than all but one of the Pareto-optimal encoders: At a tolerable deviation of 10 % of the full-scale range, Rake's induced deviation is less than 4 percentage points worse than the optimal encoder that minimizes deviation (e1). Even at moderate tolerable deviations of 5 % of the full-scale range, Rake reduces transitions almost twice as much as existing encoding techniques for deviation-free serial buses [6]. The results for 16-bit words follow a similar trend (bottom row of Figure 3).…”

Section: Transition Reduction and Induced Deviationmentioning

confidence: 60%

See 1 more Smart Citation

Reducing serial I/O power in error-tolerant applications by efficient lossy encoding

Rinard

Stanley-Marbell

2016

Proceedings of the 53rd Annual Design Automation Conference

View full text Add to dashboard Cite

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 %.

show abstract

Section: Transition Reduction and Induced Deviationmentioning

confidence: 60%

“…Other approaches to reducing transitions include representing values with fewer bits [28], or using transition encoding [6]. As we show in Section 5, VDBS encoders are more effective at reducing transitions than approaches that simply reduce the number of bits transmitted.…”

Section: Related Researchmentioning

confidence: 99%

Reducing serial I/O power in error-tolerant applications by efficient lossy encoding

Rinard

Stanley-Marbell

2016

Proceedings of the 53rd Annual Design Automation Conference

View full text Add to dashboard Cite

show abstract

“…The average deviation induced by Rake is also better than all but one of the Pareto-optimal encoders: At a tolerable deviation of 10 % of the full-scale range, Rake's induced deviation is less than 4 percentage points worse than the optimal encoder that minimizes deviation (e 1 ). Even at moderate tolerable deviations of 5 % of the full-scale range, Rake reduces transitions almost twice as much as existing encoding techniques for deviation-free serial buses [Chiu et al, 2013].…”

Section: Transition Reduction and Induced Deviationmentioning

confidence: 97%

Error-Efficient Computing Systems

Stanley-Marbell

Rinard

2017

FNT in Electronic Design Automation

View full text Add to dashboard Cite

This survey explores the theory and practice of techniques to make computing systems faster or more energy-efficient by allowing them to make controlled errors. In the same way that systems which only use as much energy as necessary are referred to as being energy-efficient, you can think of the class of systems addressed by this survey as being error-efficient: They only prevent as many errors as they need to. The definition of what constitutes an error varies across the parts of a system. And the errors which are acceptable depend on the application at hand. In computing systems, making errors, when behaving correctly would be too expensive, can conserve resources. The resources conserved may be time: By making some errors, systems may be faster. The resource may also be energy: A system may use less power from its batteries or from the electrical grid by only avoiding certain errors while tolerating benign errors that are associated with reduced power consumption. The resource in question may be an even more abstract quantity such as consistency of ordering of the outputs of a system. This survey is for anyone interested in an end-to-end view of one set of techniques that address the theory and practice of making computing systems more efficient by trading errors for improved efficiency.

show abstract

“…And the transition reduction of the GPD coding is up to 21.16% compared with that of the SGC coding for random data source. Table III shows the Energy saving of interconnects by applying different coding for the 130 nm CMOS technology at 1.2 V. In the simulation, the frequency of the system clock is set as 1 GHz [8] and the length of interconnects is set as 2 mm of metal-4 with the width of 0.4 um and the spacing of 0.6 um [12]. We have taken many types of the data source into considerations, including the random data source …”

Section: Serializer and Deserializer For Gpd Codingmentioning

confidence: 99%

“…GPD coding has the lower switching activity than SGC coding. Moreover, GPD coding scheme that uses the phase difference between the clock and data in the transmitted serial data can tackle the problem of the extra indication bit [8]. The simulation results show that the transition and energy consumption is reduced by 21.6% and 37.51%, respectively, compared with those of the SGC.…”

Section: Introductionmentioning

confidence: 99%

Green phase difference coding with low switching activity for Network-on-Chip

Liu

et al. 2015

IEICE Electron. Express

View full text Add to dashboard Cite

A low-power bus coding called Green Phase Difference Coding (GPD) is proposed to reduce the power consumption of long interconnects between multi-cores. In GPD, the Green-Modified coding (GM) is a novel low switching activity coding on the basis of Self-Corrected Green Coding (SGC). The mapping of GM coding between original set and converted set is modified to reduce bit transition. And the phase difference technology that uses the phase difference between the clock and data is introduced to replace decision bit. Based on SMIC 130 nm CMOS technology, the simulation results show that the GPD coding scheme achieves 37.51% and 4.13%∼ 8.29% energy reduction compared with the parallel bus by applying random data source and SPEC95/2000 CINT reference source, respectively.

show abstract

Embedded Transition Inversion Coding With Low Switching Activity for Serial Links

Cited by 9 publications

References 21 publications

Reducing serial I/O power in error-tolerant applications by efficient lossy encoding

Reducing serial I/O power in error-tolerant applications by efficient lossy encoding

Error-Efficient Computing Systems

Green phase difference coding with low switching activity for Network-on-Chip

Contact Info

Product

Resources

About