GPU computing for systems biology.
Brief Bioinform
; 11(3): 323-33, 2010 May.
Article
en En
| MEDLINE
| ID: mdl-20211843
ABSTRACT
The development of detailed, coherent, models of complex biological systems is recognized as a key requirement for integrating the increasing amount of experimental data. In addition, in-silico simulation of bio-chemical models provides an easy way to test different experimental conditions, helping in the discovery of the dynamics that regulate biological systems. However, the computational power required by these simulations often exceeds that available on common desktop computers and thus expensive high performance computing solutions are required. An emerging alternative is represented by general-purpose scientific computing on graphics processing units (GPGPU), which offers the power of a small computer cluster at a cost of approximately $400. Computing with a GPU requires the development of specific algorithms, since the programming paradigm substantially differs from traditional CPU-based computing. In this paper, we review some recent efforts in exploiting the processing power of GPUs for the simulation of biological systems.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Gráficos por Computador
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Simulación por Computador
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Interfaz Usuario-Computador
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Programas Informáticos
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Biología de Sistemas
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Modelos Biológicos
Idioma:
En
Revista:
Brief Bioinform
Asunto de la revista:
BIOLOGIA
/
INFORMATICA MEDICA
Año:
2010
Tipo del documento:
Article
País de afiliación:
Italia