MULTIDIMENSIONAL ALGORITHMS FOR VLSI PROCESSORS.

Robert Michael Owens; Mary Jane Irwin

MULTIDIMENSIONAL ALGORITHMS FOR VLSI PROCESSORS.

Robert Michael Owens, Mary Jane Irwin

Research output: Contribution to journal › Conference article › peer-review

Abstract

Several algorithms are presented for the l-dimensional cyclic convolution of n points. It is shown how these algorithms can be executed on a VLSI processor called the Arithmetic Cube, which has regular layout, simple control, and a bounded length and number of interconnects. It is also shown how changing the dimensionality of a transform can be used to efficiently compute an arbitrary problem on an Arithmetic Cube of given size. Finally, area and time bounds are developed for the Arithmetic Cube.

Original language	English (US)
Pages (from-to)	749-752
Number of pages	4
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
State	Published - Jan 1 1988

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "MULTIDIMENSIONAL ALGORITHMS FOR VLSI PROCESSORS.",

abstract = "Several algorithms are presented for the l-dimensional cyclic convolution of n points. It is shown how these algorithms can be executed on a VLSI processor called the Arithmetic Cube, which has regular layout, simple control, and a bounded length and number of interconnects. It is also shown how changing the dimensionality of a transform can be used to efficiently compute an arbitrary problem on an Arithmetic Cube of given size. Finally, area and time bounds are developed for the Arithmetic Cube.",

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N2 - Several algorithms are presented for the l-dimensional cyclic convolution of n points. It is shown how these algorithms can be executed on a VLSI processor called the Arithmetic Cube, which has regular layout, simple control, and a bounded length and number of interconnects. It is also shown how changing the dimensionality of a transform can be used to efficiently compute an arbitrary problem on an Arithmetic Cube of given size. Finally, area and time bounds are developed for the Arithmetic Cube.

AB - Several algorithms are presented for the l-dimensional cyclic convolution of n points. It is shown how these algorithms can be executed on a VLSI processor called the Arithmetic Cube, which has regular layout, simple control, and a bounded length and number of interconnects. It is also shown how changing the dimensionality of a transform can be used to efficiently compute an arbitrary problem on an Arithmetic Cube of given size. Finally, area and time bounds are developed for the Arithmetic Cube.

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ER -

MULTIDIMENSIONAL ALGORITHMS FOR VLSI PROCESSORS.

Abstract

All Science Journal Classification (ASJC) codes

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