New NVIDIA CUDA Release Makes It Faster & Easier

By Nathan Kirsch

NVIDIA today announced a major new update to the companies CUDA parallel computing platform. This new version features three key enhancements that make parallel programing with GPUs easier, more accessible and faster for computational biologists, chemists, physicists, geophysicists, other researchers, and engineers to advance their simulations and research by using GPUs.

NVIDIA CUDA

The new NVIDIA CUDA parallel computing platform features three key enhancements that make parallel programing with GPUs easier, more accessible and faster. These include:

  • Re-designed Visual Profiler with automated performance analysis, providing aneasier path to application acceleration
  • New compiler, based on the widely-used LLVM open-source compiler infrastructure, delivering up to 10 percent speed up in application performance
  • Hundreds of new imaging and signal processing functions, doubling the size of the NVIDIA Performance Primitives (NPP) library

The new visual profiler is amazing, said Joshua Anderson, lead developer of the HOOMD-blue open source molecular dynamics project. With just a few clicks, it performs an automated performance analysis of your application, highlights likely problem areas, and then provides links to best-practice suggestions on improving them. It makes it quick and easy for virtually all developers to accelerate a broad range of applications.

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