Distributed heterogeneous computing with clOpenCL

• Autor(a) principal: Ribeiro, Tiago Filipe Rodrigues
• Data de Publicação: 2012
• Outros Autores: Afonso, Mário João da Costa, Rufino, José, Alves, Albano
• Idioma: eng
• Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
• Texto Completo: http://hdl.handle.net/10198/10278
• topic: Heterogeneous computing; Cluster computing; GPGPU computing; OpenCL

Clusters of heterogeneous computing nodes provide an opportunity to significantly increase the performance of parallel and High-Performance Computing (HPC) applications, by combining traditional multi-core CPUs coupled with accelerator devices, interconnected by high throughput and low latency networking technologies. However, developing efficient applications to run in clusters that integrate GPUs and other accelerators often requires a great effort, demanding programmers to follow complex development methodologies in order to suit algorithms and applications to the new heterogeneous parallel environment. OpenCL is an open programming standard for heterogeneous computing. It suffers, however, from a major limitation: applications can only make use of the local compute devices, present on a single machine. clOpenCL (cluster OpenCL) supports the simple deployment and efficient running of unmodified OpenCL-based parallel applications that may span several cluster nodes, expanding the original single-node OpenCL model.