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A spatially-adaptive bus interface for low-switching communication (poster session)
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Source International Symposium on Low Power Electronics and Design archive
Proceedings of the 2000 international symposium on Low power electronics and design table of contents
Rapallo, Italy
Pages: 238 - 240  
Year of Publication: 2000
ISBN:1-58113-190-9
Authors
Sponsors
IEEE-CAS : Circuits & Systems
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 1,   Downloads (12 Months): 7,   Citation Count: 3
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ABSTRACT

Adaptive encoding has shown to be an effective approach to bus power minimization in situations where characterization of the input statistics is not available. In this paper, we propose a novel technique for adaptive bus encoding that, conversely from existing solutions, exploits spatial correlations in the input data being transmitted to increase the accuracy in the dynamic selection of the encoding function. We discuss the encoding algorithm and we describe an architecture for its implementation as bus interface. We present experimental data collected in a realistic simulation framework on a number of meaningful benchmarks, and we compare them to those obtained through the application of existing encoding schemes.Adaptive encoding has shown to be an effective approach to bus power minimization in situations where characterization of the input statistics is not available. In this paper, we propose a novel technique for adaptive bus encoding that, conversely from existing solutions, exploits spatial correlations in the input data being transmitted to increase the accuracy in the dynamic selection of the encoding function. We discuss the encoding algorithm and we describe an architecture for its implementation as bus interface. We present experimental data collected in a realistic simulation framework on a number of meaningful benchmarks, and we compare them to those obtained through the application of existing encoding schemes.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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S. Ramprasad, N. R. Shanbhag, I. N. Hajj, "Signal Coding for Low Power: Fundamental Limits and Practical Realizations," IEEE Trans. on Circuits and Systems II: Analog and Digital Signal Processing, Vol. 46, No. 2, pp. 923-929, Jul. 1999.
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ARM Corporation, ARM Software Development Toolkit, ARM DUI 0041C, Chapter 12, Nov. 1998.
 
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J. Davis II et al., Overview of" the Ptolemy Project, V, RL Tech Rep UCB/ERL No. M99/37, UC Berkeley, CA, Jul. 1999.


Collaborative Colleagues:
Andrea Acquaviva: colleagues
Riccardo Scarsi: colleagues

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