In addition to partnering a research team at Stanford University to create the world's largest artificial neural network, NVIDIA has also 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.
Available today as a free download, the CUDA 5.5 release candidate brings the power of GPU-accelerated computing to ARM platforms, the world’s fastest-growing processor ecosystem – approximately 10 times larger than the x86 CPU-based market.
The new CUDA release provides programmers with a robust, easy-to-use platform to develop advanced science, engineering, mobile and high performance computing (HPC) applications on ARM and x86 CPU-based systems.
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 energyefficient compute performance. These market segments include: defense systems, automotive, energy exploration, mobile computing, robotics, scientific research, HPC, and others.
In addition to providing native support for ARM platforms, the CUDA 5.5 release delivers a number of new advanced performance and productivity features, including:
In addition, CUDA 5.5 offers a full suite of programming tools, GPU-accelerated math libraries and documentation for both x86- and ARM-based platforms: