Revisiting the parallel programming
In the last decade the multicore processors had emerged with the comeback of the symmetric multiprocessing (SMP) after a long decade in which the based OpenMPI clusters had dominated the high performace processing world. Actually, we have in the market 2, 4 and 6 multicore processors; the Cell BE pr...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2011 |
| País: | Perú |
| Institución: | Universidad Nacional Mayor de San Marcos |
| Repositorio: | Revistas - Universidad Nacional Mayor de San Marcos |
| Idioma: | español |
| OAI Identifier: | oai:revistasinvestigacion.unmsm.edu.pe:article/8540 |
| Acceso en línea: | https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/8540 |
| Access Level: | acceso abierto |
| Palabra clave: | OpenMPI OpenMP Cell BE i7 980X CUDA. |
| Sumario: | In the last decade the multicore processors had emerged with the comeback of the symmetric multiprocessing (SMP) after a long decade in which the based OpenMPI clusters had dominated the high performace processing world. Actually, we have in the market 2, 4 and 6 multicore processors; the Cell BE processors with a Power Processor Element (PPE) and 8 vectorial processors called Synergistic Processor Element (SPE), and graphics processors which have from 48 to 448 cores dedicated to numerical tasks. In the present work, we show our experience in the interaction with these processors, discussing the programming techniques and the future possibilities for making low cost numerical tasks. |
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