DE · Topics · Engineering Computing

NVIDIA Releases CUDA Toolkit 3.2

CUDA Toolkit 3.2 production release features new and improved math libraries and faster performance.

CUDA Toolkit 3.2 production release features new and improved math libraries and faster performance.

By

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.

Share This Article

Subscribe to our FREE magazine, FREE email newsletters or both!
Join over 90,000 engineering professionals who get fresh engineering news as soon as it is published.
  Join Now  




About the Author

DE Editors's avatar
DE Editors

DE’s editors contribute news and new product announcements to Digital Engineering.
Press releases may be sent to them via [email protected].

Follow DE

Related Topics

Engineering Computing   News   Products   Engineering Workstations   Graphics   High–performance Computing HPC   All topics
#5836