NVIDIA announced the public availability of the latest version the NVIDIA CUDA parallel computing platform and programming model, which for the first time delivers support for ARM-based platforms.
“Since developers started using CUDA in 2006, successive generations of better, exponentially faster CUDA GPUs have dramatically boosted the performance of applications on x86-based systems,” said Ian Buck, general manager of GPU Computing Software at NVIDIA. “With support for ARM, the new CUDA release gives developers tremendous flexibility to quickly and easily add GPU acceleration to applications on the broadest range of next-generation HPC platforms.”
Combining high-performance CUDA-enabled GPU accelerators with low-power ARM-based SoCs enables ARM-based systems to penetrate new markets that require the highest levels of energy-efficient compute performance, the company says. These market segments include: defense systems, automotive, energy exploration, mobile computing, robotics, scientific research, HPC and others.
Other new features include enhanced Hyper-Q support, MPI workload prioritization, guided performance analysis, and reduced development time through compiling ARM code on x86 processors.
For more information, visit NVIDIA.
Sources: Press materials received from the company and additional information gleaned from the company’s website.