Información del autor
Autor Dongarra, J. J. |
Documentos disponibles escritos por este autor (2)



TÃtulo : High Performance Heterogeneous Computing Tipo de documento: documento electrónico Autores: Lastovetsky, Alexey (1957-) ; Dongarra, J. J. Editorial: Wiley Fecha de publicación: 2009 Número de páginas: xii, 267 p. : Il.: ill. Palabras clave: High performance computing. Heterogeneous computing. Computer networks. Enlace de acceso : https://elibro-net.biblioproxy.umanizales.edu.co/es/lc/umanizales/titulos/178406 High Performance Heterogeneous Computing [documento electrónico] / Lastovetsky, Alexey (1957-) ; Dongarra, J. J. . - Wiley, 2009 . - xii, 267 p. : : ill.
Palabras clave: High performance computing. Heterogeneous computing. Computer networks. Enlace de acceso : https://elibro-net.biblioproxy.umanizales.edu.co/es/lc/umanizales/titulos/178406 Scientific computing with multicore and accelerators / Kurzak, Jakub ; Bader, David A. ; Dongarra, J. J.
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TÃtulo : Scientific computing with multicore and accelerators Tipo de documento: documento electrónico Autores: Kurzak, Jakub, ; Bader, David A. (1969-), ; Dongarra, J. J., Editorial: Taylor & Francis Group Fecha de publicación: 2010 Número de páginas: 1 online resource (495 pages) : Il.: illustrations. ISBN/ISSN/DL: 9781439825372 Palabras clave: Science Data processing. Engineering Data processing. High performance computing. Multiprocessors. Clasificación: 502.85 Resumen: "The current trend in microprocessor architecture is toward powerful multicore designs in which a node contains several full-featured processing cores, private and shared caches, and memory. The IBM Cell Broadband Engine (B.E.) and Graphics Processing Units (GPUs) are two accelerators that are used for a variety of computations, including signal processing and quantum chemistry. This is the first reference on the use of Cell B.E. and GPUs as accelerators for numerical kernels, algorithms, and computational science and engineering applications. With contributions from leading experts, the book covers a broad range of topics on the increased role of these accelerators in scientific computing"-- Nota de contenido: bla
1. Dense linear algebra -- 2. Sparse linear algebra -- 3. Multigrid methods -- 4. Fast Fourier transforms -- 5. Combinatorial algorithms -- 6. Stencil algorithms -- 7. Bioinformatics -- 8. Molecular modeling -- 9. Complementary topics.Enlace de acceso : https://elibro-net.biblioproxy.umanizales.edu.co/es/lc/umanizales/titulos/142741 Scientific computing with multicore and accelerators [documento electrónico] / Kurzak, Jakub, ; Bader, David A. (1969-), ; Dongarra, J. J., . - Taylor & Francis Group, 2010 . - 1 online resource (495 pages) : : illustrations.
ISBN : 9781439825372
Palabras clave: Science Data processing. Engineering Data processing. High performance computing. Multiprocessors. Clasificación: 502.85 Resumen: "The current trend in microprocessor architecture is toward powerful multicore designs in which a node contains several full-featured processing cores, private and shared caches, and memory. The IBM Cell Broadband Engine (B.E.) and Graphics Processing Units (GPUs) are two accelerators that are used for a variety of computations, including signal processing and quantum chemistry. This is the first reference on the use of Cell B.E. and GPUs as accelerators for numerical kernels, algorithms, and computational science and engineering applications. With contributions from leading experts, the book covers a broad range of topics on the increased role of these accelerators in scientific computing"-- Nota de contenido: bla
1. Dense linear algebra -- 2. Sparse linear algebra -- 3. Multigrid methods -- 4. Fast Fourier transforms -- 5. Combinatorial algorithms -- 6. Stencil algorithms -- 7. Bioinformatics -- 8. Molecular modeling -- 9. Complementary topics.Enlace de acceso : https://elibro-net.biblioproxy.umanizales.edu.co/es/lc/umanizales/titulos/142741