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19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 13
A Cordic-Based Processor Extension for Scalar and Vector Processing
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
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@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
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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
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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