2014 Sixth International Symposium on Parallel Architectures, Algorithms and Programming (PAAP) (2014)
July 13, 2014 to July 15, 2014
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PAAP.2014.18
A runtime framework for GPGPU is proposed. It provides a unified interface for applications to easily take advantage of the various computation powers on a heterogeneous environment. Multiple devices and platforms, such as CUDA and OpenCL can be utilized at the same time to achieve a better performance.
Graphics processing units, Kernel, Runtime, Throughput, Instruction sets, Java, Hardware,FRAMEWORK, GPGPU, CUDA, OpenCL
Shang-Chieh Lin, Yarsun Hsu, "A Runtime Framework for GPGPU", 2014 Sixth International Symposium on Parallel Architectures, Algorithms and Programming (PAAP), vol. 00, no. , pp. 19-22, 2014, doi:10.1109/PAAP.2014.18