From CUDA to OpenCL: Towards a performance-portable solution for multi-platform GPU programming

By Peng Du, R. Weber, Piotr Luszczek, S. Tomov, G. D. Peterson, Jack J. Dongarra. Parallel Computing, 2012

366 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/5c51f314533d698aee644d136b7d25730082539c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Jianbin Fang
2. Henk J. Sips
3. Ana Lucia Varbanescu
4. Luke Smith
5. Qiuhua Liang

In Hardware and Architecture

1. Jianbin Fang
2. Henk J. Sips
3. Ana Lucia Varbanescu
4. Luke Smith
5. Qiuhua Liang

Citations in the corpus

• A Comprehensive Performance Comparison of CUDA and OpenCL (2011, methodology): “Ping Du et al. [19] evaluated many aspects of adopting OpenCL as a performance-portable method for GPGPU application development.”