Accelerating scientific applications on GPUs
We have analyzed and accelerated two large scientific applications used at the Barcelona Supercomputer Center (BSC). With this, we want to show how two complex applications can be efficiently ported to GPUs. In addition, we have developed a mechanism to manage the coherency of CPU/GPU memories.
| Autor: | |
|---|---|
| Formato: | tesis de maestría |
| Fecha de publicación: | 2016 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/105241 |
| Acesso em linha: | https://hdl.handle.net/2117/105241 |
| Access Level: | acceso abierto |
| Palavra-chave: | Graphics processing units GPU CUDA WARIS PELE Unitats de processament gràfic Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica |
| Resumo: | We have analyzed and accelerated two large scientific applications used at the Barcelona Supercomputer Center (BSC). With this, we want to show how two complex applications can be efficiently ported to GPUs. In addition, we have developed a mechanism to manage the coherency of CPU/GPU memories. |
|---|