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
S. Lin and Y. Hsu, "A Runtime Framework for GPGPU," 2014 Sixth International Symposium on Parallel Architectures, Algorithms and Programming (PAAP), Beijing, China, 2014, pp. 19-22.