Home / Engineering Computing / NVIDIA Releases CUDA Toolkit 3.2

NVIDIA Releases CUDA Toolkit 3.2

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.

About DE Editors

DE's editors contribute news and new product announcements to Digital Engineering. Press releases can be sent to them via DE-Editors@digitaleng.news.