OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems

The OpenCL standard offers a common API for program execution on systems composed of different types of computational devices such as multicore CPUs, GPUs, or other accelerators.

[1]  G. Forbes.  Molecular Dynamics , 1885, Nature.

[2]  K Schulten,et al.  VMD: visual molecular dynamics. , 1996, Journal of molecular graphics.

[3]  Nathan A. Baker,et al.  Electrostatics of nanosystems: Application to microtubules and the ribosome , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[4]  H. Peter Hofstee,et al.  Power efficient processor architecture and the cell processor , 2005, 11th International Symposium on High-Performance Computer Architecture.

[5]  Klaus Schulten,et al.  Accelerating Molecular Modeling Applications with GPU Computing , 2009 .

[6]  Michael Lang,et al.  Entering the petaflop era: The architecture and performance of Roadrunner , 2008, 2008 SC - International Conference for High Performance Computing, Networking, Storage and Analysis.

[7]  Kevin Skadron,et al.  Scalable parallel programming , 2008, 2008 IEEE Hot Chips 20 Symposium (HCS).

[8]  Scott Pakin,et al.  Entering the petaflop era: the architecture and performance of Roadrunner , 2008, HiPC 2008.

[9]  J. Cohen,et al.  Novel Architectures: Solving Computational Problems with GPU Computing , 2009, Computing in Science & Engineering.

[10]  Klaus Schulten,et al.  High performance computation and interactive display of molecular orbitals on GPUs and multi-core CPUs , 2009, GPGPU-2.

[11]  Michael Chu,et al.  Scientific and Engineering Computing Using ATI Stream Technology , 2009, Computing in Science & Engineering.

[12]  Michael Gschwind,et al.  Application Acceleration with the Cell Broadband Engine , 2010, Computing in Science & Engineering.