By DE Editors
NVIDIA has announced the availability of the CUDA Toolkit 3.2 production release, which provides performance increases, new math libraries and advanced cluster management features for developers creating 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.
According to the company, new features and significant performance enhancements in version 3.2 include:
- Up to 300% performance improvement in CUDA BLAS (CUBLAS) library routines
- CUDA FFT (CUFFT) library optimizations
- New CURAND library
- New CUSPARSE library of sparse matrix routines
- 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.
For more information, visit NVIDIA.
Sources: Press materials received from the company and additional information gleaned from the company’s website.