A Cordic-Based Processor Extension for Scalar and Vector Processing

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	Similar Articles Articles by R. Farivar Articles by M. Fazeli Articles by H. Sarbazi-Azad

19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 13

Denver, Colorado

April 04-April 08

ISBN: 0-7695-2312-9

	ASCII Text	x
	R. Farivar, M. Fazeli, H. Sarbazi-Azad, "A Cordic-Based Processor Extension for Scalar and Vector Processing," Parallel and Distributed Processing Symposium, International, vol. 14, pp. 255b, 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 13, 2005.

	BibTex	x
	@article{ 10.1109/IPDPS.2005.11, author = {R. Farivar and M. Fazeli and H. Sarbazi-Azad}, title = {A Cordic-Based Processor Extension for Scalar and Vector Processing}, journal ={Parallel and Distributed Processing Symposium, International}, volume = {14}, year = {2005}, issn = {1530-2075}, pages = {255b}, doi = {http://doi.ieeecomputersociety.org/10.1109/IPDPS.2005.11}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Parallel and Distributed Processing Symposium, International TI - A Cordic-Based Processor Extension for Scalar and Vector Processing SN - 1530-2075 SP EP A1 - R. Farivar, A1 - M. Fazeli, A1 - H. Sarbazi-Azad, PY - 2005 KW - CORDIC Algorithm KW - Processor Extension KW - Vector Processing KW - Pool of Processors KW - SIMD Architecture KW - Variable precision KW - Trigonometric functions KW - FPGA KW - ASIC VL - 14 JA - Parallel and Distributed Processing Symposium, International ER -

R. Farivar, Sharif university of Technology, Iran

M. Fazeli, Sharif university of Technology, Iran

H. Sarbazi-Azad, Sharif university of Technology, Iran

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IPDPS.2005.11

Trigonometric calculations play a significant role in scientific and multimedia applications. Such applications usually use vectors of data, thus it is essential to use SIMD-based computing for them. State of the art processors such as Pentium family processors have SIMD capabilities, MMX, SSE and SSE2 to name a few. But these extensions usually come short of performing trigonometric functions calculation.

This paper presents a CORDIC-based vector processor extension to accelerate trigonometric calculations. The suggested architecture works with a vector of data, as well as scalar data. This architecture has been Synthesized both for FPGA and ASIC and the results have shown a significant improvement in throughput over conventional processors.

Index Terms:

CORDIC Algorithm, Processor Extension, Vector Processing, Pool of Processors, SIMD Architecture, Variable precision, Trigonometric functions, FPGA, ASIC

Citation:

R. Farivar, M. Fazeli, H. Sarbazi-Azad, "A Cordic-Based Processor Extension for Scalar and Vector Processing," ipdps, vol. 14, pp.255b, 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 13, 2005

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