Ribeiro, Tiago Filipe RodriguesAfonso, Mário João da CostaRufino, JoséAlves, Albano2014-09-032014-09-032012Ribeiro, Tiago; Afonso, Mário; Rufino, José; Alves, Albano (2012). Distributed heterogeneous computing with clOpenCL. In INForum 2012 - Simpósio de Informática. Almada, Portugalhttp://hdl.handle.net/10198/10278Clusters 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.engHeterogeneous computingCluster computingGPGPU computingOpenCLconference object