Autor: Joao Baúto
ISBN-13: 9783319733289
Einband: Book
Seiten: 98
Format: 236x156x12 mm
Sprache: Englisch

Parallel Genetic Algorithms for Financial Pattern Discovery using GPUs

SpringerBriefs in Applied Sciences and Technology
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Describes in deep the efficient implementation of SAX/GA algorithm in GPU
Introduction.- State-of-the-Art in Pattern Recognition Techniques.- SAX/GA CPU Approach.- GPU-accelerated SAX/GA.- Conclusions and Future Work in the Field.
This Brief presents a study of SAX/GA, an algorithm to optimize market trading strategies, to understand how the sequential implementation of SAX/GA and genetic operators work to optimize possible solutions. This study is later used as the baseline for the development of parallel techniques capable of exploring the identified points of parallelism that simply focus on accelerating the heavy duty fitness function to a full GPU accelerated GA.
Autor: Joao Baúto, Rui Neves, Nuno Horta
João Baúto works at Fundacao Champalimaud in Lisbon, Portugal. He implements high performance computing tools applied to neuroscience and cancer research.

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Autor: Joao Baúto
ISBN-13:: 9783319733289
ISBN: 3319733281
Erscheinungsjahr: 09.02.2018
Verlag: Springer-Verlag GmbH
Gewicht: 192g
Seiten: 98
Sprache: Englisch
Sonstiges: Taschenbuch, 236x156x12 mm, Bibliographie