Nvidia CUDA Toolkit 5.0.37

The CUDA 5 Installers include the CUDA Toolkit, SDK code samples, and developer drivers.

Features:

• C/C++ compiler
• Visual Profiler
• GPU-accelerated BLAS library
• GPU-accelerated FFT library
• GPU-accelerated Sparse Matrix library
• GPU-accelerated RNG library
• Additional tools and documentation

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.

What's New:

• Nsight Eclipse Edition for Linux and Mac OS is an all-in-one development environment that allows developing, debugging, and optimizing CUDA code in an integrated UI environment.
• A new command-line profiler, nvprof, provides summary information about where applications spend the most time, so that optimization efforts can be properly focused.