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Scalable Vector Processors for Embedded Systems
November/December 2003 (vol. 23 no. 6)
pp. 36-45
ASCII Text
x 
 
Christoforos E. Kozyrakis, David A. Patterson, "Scalable Vector Processors for Embedded Systems," IEEE Micro, vol. 23, no. 6, pp. 36-45, November/December, 2003.
 
 
BibTex
x
 
@article{ 10.1109/MM.2003.1261385,
author = {Christoforos E. Kozyrakis and David A. Patterson},
title = {Scalable Vector Processors for Embedded Systems},
journal ={IEEE Micro},
volume = {23},
number = {6},
issn = {0272-1732},
year = {2003},
pages = {36-45},
doi = {http://doi.ieeecomputersociety.org/10.1109/MM.2003.1261385},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Micro
TI - Scalable Vector Processors for Embedded Systems
IS - 6
SN - 0272-1732
SP36
EP45
EPD - 36-45
A1 - Christoforos E. Kozyrakis,
A1 - David A. Patterson,
PY - 2003
VL - 23
JA - IEEE Micro
ER -
 
Christoforos E. Kozyrakis, Stanford University
David A. Patterson, University of California at Berkeley

For embedded applications with data-level parallelism, a vector processor offers high performance at low power consumption and low design complexity. Unlike superscalar and VLIW designs, a vector processor is scalable and can optimally match specific application requirements.

Citation:
Christoforos E. Kozyrakis, David A. Patterson, "Scalable Vector Processors for Embedded Systems," IEEE Micro, vol. 23, no. 6, pp. 36-45, Nov./Dec. 2003, doi:10.1109/MM.2003.1261385
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