DocumentCode :
445491
Title :
Significance of randomness in P-RnaPredict - a parallel evolutionary algorithm for RNA folding
Author :
Wiese, Kay C. ; Hendriks, Andrew ; Deschenes, Alain ; Youssef, B.B.
Author_Institution :
Sch. of Comput. Sci., Simon Fraser Univ., Surrey, BC
Volume :
1
fYear :
2005
fDate :
5-5 Sept. 2005
Firstpage :
467
Abstract :
This paper presents an extension to P-RnaPredict, a parallel evolutionary algorithm (EA) for RNA folding. The impact of three pseudorandom number generators (PRNGs) on the EA´s performance is evaluated. The generators tested included the C standard library PRNG RAND, a parallelized multiplicative congruential generator (MCG), and a parallelized Mersenne Twister (MT). P-RnaPredict was implemented using the message passing interface (MPI) and tested on a 128 node Beowulf cluster. The PRNG comparison testing was performed with four known structures that are 118, 122, 543, and 556 nucleotides in length. PRNGs effects were investigated and predicted structures compared to known structures
Keywords :
biology computing; evolutionary computation; macromolecules; message passing; parallel algorithms; random number generation; software libraries; Beowulf cluster; C standard library; P-RnaPredict development; RNA; message passing interface; multiplicative congruential generator; parallel evolutionary algorithm; parallelized Mersenne Twister; pseudorandom number generator; Concurrent computing; Convergence; Evolutionary computation; Libraries; Molecular biophysics; Nuclear magnetic resonance; Predictive models; RNA; Testing; Thermodynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Conference_Location :
Edinburgh, Scotland
Print_ISBN :
0-7803-9363-5
Type :
conf
DOI :
10.1109/CEC.2005.1554720
Filename :
1554720
Link To Document :
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