NVIDIA and Partners Form Parallel Computing Development Ecosystem
Standards-based tools and libraries develop around CUDA architecture.
November 23, 2009
By DE Editors
NVIDIA and its ecosystem partners will deliver, over the next few months, a set of software releases to developers using GPU Computing in their work.
These updates feature releases across a spectrum of GPU Computing development languages, tools, and libraries. Included are updates from NVIDIA for its CUDA C compiler, with additional support for C++ and its upcoming GPU codenamed “Fermi.” NVIDIA is also releasing its R195 driver that includes new extensions to its OpenCL 1.0 conformant driver and toolkit, and a beta release of Nexus, a development environment for massively parallel computing, which is integrated into Microsoft Visual Studio.
Alongside NVIDIA’s own updates, several partner releases are available now, including The Portland Group’s CUDA Fortran solution, Allinea’s Distributed Debugging Tool (DDT), and the TotalView debugger.
“The only effective way to scale performance in demanding applications is to move to a parallel computing model,” said Sanford Russell, general manager, GPU Computing software at NVIDIA. “The NVIDIA CUDA architecture facilitates this critical transition with its broad industry support and network of software consultants and training resources for massively parallel computing.”
For more information, visit NVIDIA.
Sources: Press materials received from the company and additional information gleaned from the company’s website.
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