clOpenCL - supporting distributed heterogeneous computing in HPC clusters

Alves, Albano; Rufino, José; Pina, António; Santos, Luis Paulo

http://hdl.handle.net/10198/10279

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
heteropar2012, clOpenCL - Supporting distributed heterogeneous computing in HPC clusters.pdf		658.48 KB	Adobe PDF	Download

Send Feedback

Authors

Abstract(s)

Clusters that combine heterogeneous compute device architectures, coupled with novel programming models, have created a true alternative to traditional (homogeneous) cluster computing, allowing to leverage the performance of parallel applications. In this paper we introduce clOpenCL, a platform that supports the simple deployment and efficient running of OpenCL-based parallel applications that may span several cluster nodes, expanding the original single-node OpenCL model. clOpenCL is deployed through user level services, thus allowing OpenCL applications from different users to share the same cluster nodes and their compute devices. Data exchanges between distributed clOpenCL components rely on Open-MX, a high-performance communication library. We also present extensive experimental data and key conditions that must be addressed when exploiting clOpenCL with real applications.

Keywords

Heterogeneous/cluster/GPGPU computing OpenCL

URI

http://hdl.handle.net/10198/10279

Citation

Alves, Albano; Rufino, José; Pina, António; Santos, Luis Paulo (2013). clOpenCL - supporting distributed heterogeneous computing in HPC clusters. In Parallel Processing Workshops, Euro-Par 2012: HeteroPar. Rhodes Island. p.112-122. ISBN 978-364236948-3