CEA/DEN, EDF R&D and OPEN CASCADE are pleased to announce SALOME version 6.4.0. Please visit news for more details.
This is a public minor release that contains improvements and bug fixes against SALOME version 6.3.1 released in July 2011.
Proceed to the download page to get this release for a go. Note that the Windows version 32bit is also available to download at the same page.
Tuesday, 20 December 2011
Wednesday, 14 December 2011
Ten Ways to Fool the Masses When Giving Performance Results on GPUs
It might be interesting to review this article at HPCwire:
Ten Ways to Fool the Masses When Giving Performance Results on GPUs
and another two
Reviewing a paper that uses GPUs
How to write a 'GPUs are awesome' paper
Ten Ways to Fool the Masses When Giving Performance Results on GPUs
and another two
Reviewing a paper that uses GPUs
How to write a 'GPUs are awesome' paper
Labels:
GPGPU
NVIDIA Opens Up CUDA Platform by Releasing Compiler Source Code
NVIDIA today announced that it will provide the source code for the new NVIDIA® CUDA® LLVM-based compiler to academic researchers and software-tool vendors, enabling them to more easily add GPU support for more programming languages and support CUDA applications on alternative processor architectures.
"Opening up the CUDA platform is a significant step," said Sudhakar Yalamanchili, professor at Georgia Institute of Technology and lead of the Ocelot project, which maps software written in CUDA C to different processor architectures. "The future of computing is heterogeneous, and the CUDA programming model provides a powerful way to maximize performance on many different types of processors, including AMD GPUs and Intel x86 CPUs."
The full article is at
NVIDIA Opens Up CUDA Platform by Releasing Compiler Source Code
Otherwise refer to the article at HPCwire:
NVIDIA Opens Up CUDA Compiler
"Opening up the CUDA platform is a significant step," said Sudhakar Yalamanchili, professor at Georgia Institute of Technology and lead of the Ocelot project, which maps software written in CUDA C to different processor architectures. "The future of computing is heterogeneous, and the CUDA programming model provides a powerful way to maximize performance on many different types of processors, including AMD GPUs and Intel x86 CPUs."
The full article is at
NVIDIA Opens Up CUDA Platform by Releasing Compiler Source Code
Otherwise refer to the article at HPCwire:
NVIDIA Opens Up CUDA Compiler
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