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How NVIDIA Enables Scientific Research for HPC Developers

In this video, NVIDIA engineers describe performance challenges in developing HPC applications and what NVIDIA does to help.

Researchers, scientists, and developers are advancing science by accelerating their high performance computing applications on NVIDIA GPUs using specialized libraries, directives, and language-based programming models. From computational science to AI, CUDA-X HPCOpenACC, and CUDA are GPU-accelerating applications to deliver groundbreaking scientific discoveries. And popular languages like C, C++, Fortran, and Python are being used to develop, optimize, and deploy these applications.

In related news, NVIDIA will host a full day HPC Summit this year at the GPU Technology Conference 2020. With a full day of plenary sessions and a developer track on high performance computing, the HPC Summit takes place Thursday, March 26 in San Jose, California. The HPC Summit at GTC brings together HPC leaders, IT professionals, researchers, and developers to advance the state of the art of HPC. Explore content from different HPC communities, engage with experts, and learn about new trends and innovations.

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