NVIDIA announced the availability of the CUDA Toolkit 3.2 production release, which provides significant performance increases, new math libraries and advanced cluster management features for developers creating next-generation GPU-accelerated applications.

The CUDA Toolkit includes all the tools, libraries and documentation developers need to build CUDA C/C++ applications, and is the foundation for many other GPU computing language solutions. New features and significant performance enhancements in version 3.2 include:

• Up to 300-percent performance improvement in CUDA BLAS (CUBLAS) library routines, delivering eight times faster performance than the latest Intel MKL (Math Kernel Library).
• CUDA FFT (CUFFT) library optimizations delivering 2 - 20 times faster performance than the latest MKL.
• New CURAND library for random number generation at 10-20 times faster than the latest MKL.
• New CUSPARSE library of sparse matrix routines that delivers 6-30 times faster performance than the latest MKL.
• A host of additional improvements to GPU debugging and performance analysis tools.

In addition, the new CUDA Toolkit 3.2 release includes H.264 encode/decode, new Tesla Compute Cluster (TCC) integration, cluster management features, and support for the new 6GB NVIDIA Tesla and Quadro GPU products.

NVIDIA is hosting a webinar on Tuesday, Nov. 23 at 10:00 a.m. PT to review the new performance enhancements and capabilities of the new CUDA Toolkit.