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Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2007)
Parallel Multiple Polynomial Quadratic Sieve on Multi-Core Architectures
Timisoara, Romania
September 26-September 29
ISBN: 0-7695-3078-8
ASCII Text
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Georgiana Macariu, Dana Petcu, "Parallel Multiple Polynomial Quadratic Sieve on Multi-Core Architectures," Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on, pp. 59-65, Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2007), 2007.
 
 
BibTex
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@article{ 10.1109/SYNASC.2007.21,
author = {Georgiana Macariu and Dana Petcu},
title = {Parallel Multiple Polynomial Quadratic Sieve on Multi-Core Architectures},
journal ={Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on},
volume = {0},
year = {2007},
isbn = {0-7695-3078-8},
pages = {59-65},
doi = {http://doi.ieeecomputersociety.org/10.1109/SYNASC.2007.21},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on
TI - Parallel Multiple Polynomial Quadratic Sieve on Multi-Core Architectures
SN - 0-7695-3078-8
SP59
EP65
A1 - Georgiana Macariu,
A1 - Dana Petcu,
PY - 2007
VL - 0
JA - Symbolic and Numeric Algorithms for Scientific Computing, International Symposium on
ER -
 
The ability of multi-core processors to increase application performance depends on the use of multiple threads within applications. Symbolic computations, requiring both CPU power and large memory, are well-suited candidates for deriving advantages from multi-core parallel architectures. This is possible only if the specific libraries and tools are designed to allow multi-threading and multi-processes. In order to promote the changes needed to adapt these libraries and tools to the new architectures, the changes performed of a main algorithm for symbolic computations, parallel integer factorization, is described and discussed.
Citation:
Georgiana Macariu, Dana Petcu, "Parallel Multiple Polynomial Quadratic Sieve on Multi-Core Architectures," synasc, pp.59-65, Ninth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2007), 2007
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