NVIDIA Corporation released a new version of its CUDA parallel computing platform, which will make it easier for computational biologists, chemists, physicists, geophysicists, other researchers, and engineers to advance their simulations and computational work by using GPUs. The new NVIDIA(R) CUDA(R) 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 an easier path to application acceleration; New compiler, based on the widely-used LLVM open-source compiler infrastructure, delivering up to 10% speed up in application performance; Hundreds of new imaging and signal processing functions, doubling the size of the NVIDIA Performance Primitives (NPP) library.