OCAL: An Abstraction for Host-Code Programming with OpenCL and CUDA
Ari Rasch, Martin Wrodarczyk, Richard Schulze, Sergei Gorlatch
Research article in edited proceedings (conference) | Peer reviewedDetails about the publication
Publisher: IEEE
Book title: 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)
Page range: 408-416
Publishing company: Wiley-IEEE Press
Place of publication: Singapur
Status: Published
Release year: 2018
Language in which the publication is written: English
Conference: IEEE International Conference on Parallel and Distributed Systems, Singapur, Singapore
Keywords: data structures; open systems; parallel architectures; parallel programming; storage management; OCAL; host-code programming; CUDA programs; DpenCL/CUDA Abstraction Layer; CUDA host code; uniform high-level host code abstraction API; arbitrary OpenCL; data-transfer optimizations; memory management; CUDA data structures; CUDA programming constructs; OpenCL; memory buffers; Graphics processing units; Kernel; Data transfer; Memory management; Programming; Performance evaluation; Optimization
Authors from the University of Münster
| Gorlatch, Sergei | Professorship of Practical Comupter Science (Prof. Gorlatch) |
| Rasch, Ari | Institute of Computer Science |
| Schulze, Richard | Professorship of Practical Comupter Science (Prof. Gorlatch) |