NVIDIA has announced the release of CUDA Toolkit 7.5, a parallel computing platform and programming model for enhancing high-performance computing by leveraging the power of the graphics processing unit (GPU). To take advantage of the CUDA features on requires any one or more of the CUDA-enabled GPUs.
With modern GPUs doing more than just Graphics processing, GPUs are being used for anything from medicine to finance to running A server is a computer application program that responds to requests for information from a client in a client/server relationship system. A typical example is a web server or pushing a web page to a web browser or a web server receiving email and transferring it to an email client. A server can also refer to the actual hardware designed... More farms.
NVIDIA’s first GPU was released in 1999 and years later NVIDIA released CUDA the solution for general computing on GPUs. That was in 2006. Fast forward to 2015. NVIDIA now has a new version of CUDA.
What’s new in CUDA Toolkit 7.5?
CUDA 7.5 introduces a bunch of new features including:
- Bayer CFA-to-RGB color conversion routines
- n-dimensional Euclidean norm and the four-dimensional and n-dimensional Euclidean reciprocal norms
- cuSPARSE GEMVI routines for acceleration of natural language processing
- FP16 storage for up to twice as large datasets in GPU memory and optimized memory In computing, bandwidth is the maximum amount of data that can be transmitted across a given path in a fixed amount of time. Bandwidth can be expressed in either digital or analog forms. For digital devices, it can be measured in data per second for example Megabits per second(Mbps) or Kilobytes per second (KBps) and so on. When it comes... More
- Instruction-level profiling
- New cuFFT functions for the specification of transforms on arrays spanning more than 4G elements … and more
You can download CUDA Toolkit 7.5 here and get to use it in your new or existing GPUs computed projects.