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Top community discussions about NVIDIA CUDA

NVIDIA CUDA is a C language development environment for CUDA-enabled GPUs. The CUDA development environment includes:
  • nvcc C compiler
  • CUDA FFT and BLAS libraries for the GPU
  • Profiler
  • gdb debugger for the GPU (alpha available in March, 2008)
  • CUDA runtime driver (now also available in the standard NVIDIA GPU driver)
  • CUDA programming manual
The CUDA Developer SDK provides examples with source code to help you get started with CUDA. Examples include:
  • Parallel bitonic sort
  • Matrix multiplication
  • Matrix transpose
  • Performance profiling using timers
  • Parallel prefix sum (scan)

What's New in NVIDIA CUDA

Version 6.0.37:
  • Introduced support for the Maxwell architecture (sm_50). More information on Maxwell can be found here: architecture. Although the CUDA Toolkit supports developing applications targeted to sm_50, the driver bundled with the CUDA installer does not. Users will need to obtain a driver compatible with the Maxwell architecture from http://

Requirements for NVIDIA CUDA

OS X 10.8 or later
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NVIDIA CUDA User Discussion

5 1
Current Version (6.x)
Downloads 8,255
Version Downloads 1,636
License Free
Date 17 Apr 2014
Platform Intel 64 / OS X / Intel 32
Price Free
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