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https://bdm.unb.br/handle/10483/15791Arquivos neste item:
| Arquivo | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| 2015_RodrigoSiqueiradeMelo.pdf | 5,38 MB | Adobe PDF | ver/abrir |
Registro completo
| Campo Dublin Core | Valor | Língua |
|---|---|---|
| dc.contributor.advisor | Costa Júnior, Edson Alves da | - |
| dc.contributor.author | Melo, Rodrigo Siqueira de | - |
| dc.identifier.citation | MELO, Rodrigo Siqueira de. A study of replacing CUDA by OpenCL in KGPU. 2015. 68 f., il. Monografia (Bacharelado em Engenharia de Software)—Universidade de Brasília, Brasília, 2015. | pt_BR |
| dc.description | Monografia (graduação)—Universidade de Brasília, Faculdade UnB Gama, 2015. | pt_BR |
| dc.rights | Acesso Aberto | pt_BR |
| dc.subject.keyword | Computação gráfica | pt_BR |
| dc.subject.keyword | Unidades de Processamento Gráfico (GPUs) | pt_BR |
| dc.title | A study of replacing CUDA by OpenCL in KGPU | pt_BR |
| dc.type | Trabalho de Conclusão de Curso - Graduação - Bacharelado | pt_BR |
| dc.date.accessioned | 2017-01-18T14:00:51Z | - |
| dc.date.available | 2017-01-18T14:00:51Z | - |
| dc.date.submitted | 2015-07-10 | - |
| dc.identifier.uri | http://bdm.unb.br/handle/10483/15791 | - |
| dc.language.iso | Inglês | pt_BR |
| dc.subject | Linguagem de programação (Computadores) | pt_BR |
| dc.subject | C (linguagem de programação) | pt_BR |
| dc.subject | OpenCL (Linguagem de programação de computador) | pt_BR |
| dc.subject | Arquitetura de computador | pt_BR |
| dc.description.abstract1 | GPU is a very high parallel device which became popular. Nowadays, many processors already coming with a minimal GPU in the same die, this characteristic creates a new and unexplored application area for this device. CUDA and OpenCL are two non-graphics libraries commonly used for take advantages of GPU. CUDA was created by NVidia, and it was designed to run on NVidia’s GPUs. On the other hand, OpenCL was created to run on many different devices. Those libraries, interacts with the operating system by using device drivers, and usually this is the unique connection between them. A group of researchers from Utah proposed the use of GPU as a coprocessor, they developed a device driver based on CUDA for achieving this goal (they called it as KGPU). In this work we improved KGPU’s code, added support to OpenCL, and we analyzed the possibility of use this project as a mature solution. | pt_BR |
| Aparece na Coleção: | Engenharia de Software | |
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