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Abstract: Linear computations form an important type of computation that is widely used in DSP and communications. We introduce two approaches for power minimization in linear computations using transformations. First we show how unfolding combined with the procedure for maximally fast implementation of linear computations reduces power in single processor and multiprocessor implementations by factors 2.2 and 8 respectively. To accomplish this we exploit a newly identified property of unfolding whereby... (Update)
Context of citations to this paper: More
.... in the logic hardware using behavioral synthesis techniques [Rag94] Meh96] reducing memory accesses [Cat97] code generation [Tiw94][Sri96], and shutting down unused parts of a system [Mon96] Our goal is to examine power tradeoffs that can be made in the exploration of...
...of new tasks. For instance, it enables power reduction by a factor of about 25 times in many linear and feedback linear computations [Sri96]. 4.0 New Approach: Idea and Introductory Examples Probably the best way to introduce a basic idea is to use simple, yet non trivial...
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BibTeX entry: (Update)
M. Srivastava, M. Potkonjak, "Power optimization in programmable processors and ASIC implementations of linear systems: transformation-based approach," Design Automation Conference, pp. 343-348, 1996. http://citeseer.ist.psu.edu/srivastava96power.html More
@inproceedings{ srivastava96power,
author = "Mani B. Srivastava and Miodrag Potkonjak",
title = "Power Optimization in Programmable Processors and {ASIC} Implementations of Linear Systems: Transformation-based Approach",
booktitle = "Design Automation Conference",
pages = "343-348",
year = "1996",
url = "citeseer.ist.psu.edu/srivastava96power.html" }
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