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NVIDIA CUDA 1.0 DELIVERS ENHANCED FEATURES FOR GPU COMPUTING
Optimized Software Development Environment For HPC Applications Now Available
July 12, 2007 - Coinciding with the recent launch of the NVIDIA® Tesla family of GPU computing solutions, NVIDIA has announced the immediate availability of NVIDIA CUDA 1.0, the production release of the C-compiler and Software Development Kit (SDK) for developing computing applications on NVIDIA GPUs.
The combination of GPU computing technology and the CUDA software environment delivers a flexible, massively parallel computing platform for todays most demanding data-intensive applications. NVIDIA Tesla products range from GPU computing server solutions for datacenters to deskside solutions that place the power of supercomputing products in the hands of every scientist and engineer using a standard PC or workstation.
CUDA 1.0 includes new C compiler optimizations and performance enhancements along with additional functionality and C code examples. CUDA BLAS and FFT libraries have been further optimized and include additional functionality and new C code examples relevant to areas such as computational finance and medical imaging are installed with the SDK. In addition, the CPU interface code to the GPU has been enhanced allowing for asynchronous launch calls and asynchronous device to device memory copies.
Developers are invited to download the production release of the CUDA C-compiler and SDK free of charge from the NVIDIA Developer Web site at http://www.developer.nvidia.com/object/cuda.html. The NVIDIA CUDA development environment is currently supported on the 32-bit Linux and Microsoft® Windows® XP operating systems as well as 64-bit Linux.
Visit the GPU computing forums for news, discussion and programming tips at: http://forums.nvidia.com.
