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Title:OPTIMIZACIJA MEDATOMSKEGA POTENCIALA LENNARD-JONES S PARALELNO DIFERENCIALNO EVOLUCIJO
Authors:ID Čep, Aleš (Author)
ID Brest, Janez (Mentor) More about this mentor... New window
ID Zamuda, Aleš (Comentor)
Files:.pdf UNI_Cep_Ales_2011.pdf (1,89 MB)
MD5: F0299574F53E68DD6C1972AF26E04243
PID: 20.500.12556/dkum/93b0e9d6-1dba-4391-bf43-9af06fa72f1c
 
Language:Slovenian
Work type:Bachelor thesis/paper
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu predstavljamo optimizacijski algoritem, ki rešuje problem potenciala Lennard-Jones iz področja bioinformatike. Za računanje uporabimo tehnologijo CUDA, ki poveča hitrost računanja, saj izkorišča paralelizacijsko zmogljivost grafičnih procesnih enot. Izbrali smo evolucijski algoritem jDE, ki se je v preteklosti izkazal za zelo uspešnega. Diplomska naloga najprej obravnava sorodna dela iz področja računanja potenciala Lennard-Jones ter področja evolucijskih algoritmov na grafičnih procesnih enotah. Sledi opis potenciala Lennard-Jones in arhitekture CUDA. Na koncu je predstavljena še naša implementacija algoritma in dobljeni rezultati. Naše rezultate smo primerjali z rezultati dveh programov, ki se v celoti izvajata na centralno procesni enoti.
Keywords:diferencialna evolucija, potencial Lennard-Jones, CUDA, bioinformatika, paralelno izvajanje, evolucijski algoritem, jDE, evolucijsko računanje, grafična procesna enota
Place of publishing:Maribor
Publisher:[A. Čep]
Year of publishing:2011
PID:20.500.12556/DKUM-20172 New window
UDC:004.6.032.24(043.2)
COBISS.SI-ID:15353622 New window
NUK URN:URN:SI:UM:DK:0IZRTBLL
Publication date in DKUM:16.09.2011
Views:3676
Downloads:288
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:OPTIMIZATION OF LENNARD-JONES ATOM POTENTIAL USING PARALLEL DIFFERENTIAL EVOLUTION
Abstract:In this diploma work we present an optimization algorithm for solving problem of Lennard-Jones energy potential, which falls into field of bioinformatics. We use CUDA architecture to increase computational speed, because it allows us to exploit the parallel capabilities of graphics processing unit. For optimization we have chosen the jDE evolutionary algorithm, which showed great results in the past. First we describe related works in the area of optimization of Lennard-Jones energy potential and evolutionary algorithms on graphics processing unit. In second part we focus on Lennard-Jones potential and CUDA architecture. In the end we present our program and its results, which we compare with results of two other programs that are executed on a central processing unit.
Keywords:differential evolution, potential Lennard-Jones, CUDA, bioinformatics, parallelization, evolution algorithm, jDE, evolution computation, graphics processing unit


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