
In addition to making its own software compatible with Arm, the company says it is working closely with its ecosystem of developers to bring GPU acceleration to Arm for HPC applications such as GROMACS, LAMMPS, MILC, NAMD, Quantum Espresso, and Relion, and together they have compiled extensive code to bring GPU acceleration to their applications on the Arm platform. To enable the Arm ecosystem, Nvidia collaborated with leading Linux distributors Canonical, Red Hat, and SUSE, as well as the industry’s leading providers of essential HPC tools.
World-leading supercomputing centers have begun testing GPU-accelerated Arm-based computing systems, says the company, including Oak Ridge and Sandia National Laboratories, in the United States; the University of Bristol, in the United Kingdom; and Riken, in Japan.
Related articles:
New Nvidia platform fuses AI, high-performance computing
Nvidia unveils tiny $99 AI computer 'for everyone'
Nvidia, ARM partner to bring AI to billions of IoT devices
ARM and Nvidia partner on deep learning
New Nvidia GPU architecture achieves 'Holy Grail' of computer graphics