Nvidia CUDA Toolkit 5.0.35 x86

Release Highlights:

- CUDA Dynamic Parallelism allows __global__ and __device__ functions running on the GPU to launch kernels using the familiar "<<< >>>" syntax and to directly call CUDA Runtime API routines (previously this ability was only available from __host__ functions).
- All __device__ functions can now be separately compiled and linked using NVCC. This allows creation of closed-source static libraries of __device__ functions and the ability for these libraries to call user-defined __device__ callback functions. The linker support is considered to be a BETA feature in this release.
- Nsight Eclipse Edition for Linux and Mac OS is an integrated development environment UI that allows developing, debugging, and optimizing CUDA code.
- A new command-line profiler, nvprof, provides summary information about where applications spend the most time, so that optimization efforts can be properly focused.
- This release contains the following:
NVIDIA CUDA Toolkit documentation
NVIDIA CUDA compiler (NVCC) and supporting tools
NVIDIA CUDA runtime libraries
NVIDIA CUDA-GDB debugger
NVIDIA CUDA-MEMCHECK
NVIDIA Visual Profiler, nvprof, and command-line profiler
NVIDIA Nsight Eclipse Edition
NVIDIA CUBLAS, CUFFT, CUSPARSE, CURAND, Thrust, and
NVIDIA Performance Primitives (NPP) libraries