Nvidia Arm Cuda

With the cuda toolkit you can develop optimize and deploy your applications on gpu accelerated arm systems.

Nvidia arm cuda. The reference platform s debut follows nvidia s announcement earlier this year that it will bring its cuda x software platform to arm. Fulfilling this promise nvidia is making available as a preview its arm compatible software development kit consisting of nvidia cuda x libraries and development tools for accelerated computing. Gpus provide arm64 server vendors with the muscle to tackle hpc workloads enabling them to build high performance systems that maximize the arm architecture s power efficiency and system configurability. The cuda toolkit for arm provides a development environment for creating high performance gpu accelerated applications on the arm server platform.

At gtc 2013 we announced the kayla development platform a mini itx system with an nvidia tegra 3 quad core arm processor and an nvidia geforce gt640 gpu. Collaborating with nvidia to bring cuda acceleration to the arm architecture is a key milestone for the hpc community which is already deploying arm technology to address some of the world s most complex research. Last year the company made its cuda libraries for developing parallel computing software on nvidia graphics processing unit gpu available on the arm processor. The toolkit includes gpu accelerated libraries debugging and optimization tools a c c compiler and the cuda runtime.

Now they can tackle hpc class workloads when paired with gpu accelerators using the nvidia cuda 6 5 parallel programming platform which supports 64 bit arm processors. Nvidia said that thanks to a combination of low power arm based socs and cuda enabled accelerators arm based systems can now penetrate new markets that require the highest levels of energy. This gpu has compute capability 3 5 meaning that it supports most of the same cuda features of a high end tesla k20 gpu. Cray recently offered that it is going to sell fujitsu a64fx systems so we expect to see more arm in the hpc data center over the next few years.

Arm is working with our ecosystem to deliver unprecedented compute performance gains and exascale class capabilities to arm based socs said simon segars ceo of arm. Anyone who has used one of say nvidia s automotive and internet of things development boards which sport system on.