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Ucla Computer Science Department, Los Angeles, Ca 90095-1596, Usa  (Make Corrections)  
Minimizing The Number Of Operations In Dsp Computations Inki Hong and Miodrag...



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Abstract: Reduction of the number of operations optimizes the important design metrics such as area, cost, throughput, and power consumption for both custom ASIC and programmable processor implementations. We propose a novel technique to minimize the number of operations in DSP computations. The first step of the approach logically partitions a computation into strongly connected components. The second step optimizes each component separately. In the third step the components are merged to further... (Update)

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@misc{ usa-ucla,
  author = "Es Ca Usa",
  title = "UCLA Computer Science Department, Los Angeles, CA 90095-1596, USA",
  url = "citeseer.ist.psu.edu/502447.html" }
Citations (may not include all citations):
1527   Optimization by Simulated Annealing - Kirkpatrick, Gelatt et al. - 1983
405   Depth first search and linear graph algorithms (context) - Tarjan - 1972
210   Synchronous dataflow (context) - Lee, Messerschmitt - 1987
207   Retiming synchronous circuitry (context) - Leiserson, Saxe - 1991
31   Maximally Fast and Arbitrarily Fast Implementation of Linear.. (context) - Potkonjak, Rabaey - 1992
15   A scheduling framework for minimizing memory requirements of.. (context) - Bhattacharyya - 1993
13   Multiple constant multiplications: efficientandversatile fra.. (context) - Potkonjak - 1996
9   Power optimization in programmable processors and ASIC imple.. - Srivastava, Potkonjak - 1996
3   Global node reduction of linear systems using ratio analysis - Sheliga, Sha - 1994
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1   Minimizing the Number of Operations in DSP Computations (context) - Hong, Potkonjak

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