CUDA Toolkit 4.0

Release Highlights

Easier Application Porting

• Share GPUs across multiple threads
• Use all GPUs in the system concurrently from a single host thread
• No-copy pinning of system memory, a faster alternative to cudaMallocHost()
• C++ new/delete and support for virtual functions
• Support for inline PTX assembly
• Thrust library of templated performance primitives such as sort, reduce, etc.
• NVIDIA Performance Primitives (NPP) library for image/video processing
• Layered Textures for working with same size/format textures at larger sizes and higher performance

Faster Multi-GPU Programming

• Unified Virtual Addressing
• GPUDirect v2.0 support for Peer-to-Peer Communication

New & Improved Developer Tools

• Automated Performance Analysis in Visual Profiler
• C++ debugging in CUDA-GDB for Linux and MacOS
• GPU binary disassembler for Fermi architecture (cuobjdump)
• Parallel Nsight 2.0 now available for Windows developers with new debugging and profiling features.

Watch the CUDA Toolkit 4.0 Feature and Overview Webinar (or just the slides) for an overview of some of the exciting new features of this release.
Check out the NEW CUDA 4.0 Math Library Performance Review 

Find all the latest versions of other Libraries and Tools on our Tools & EcoSystem Page

Please download the lastest CUDA Toolkit 4.0 Errata Update.

The latest released NVIDIA Drivers are always available at www.nvidia.com/drivers
For previous releases, see the CUDA Toolkit Release Archive
Get yourself fully trained- check out the latest CUDA Webinars
Become a CUDA Registered Developer, report bugs, engage with NVIDIA engineering
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