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APAC HPC-AI Competition Expands to Address COVID-19

The HPC-AI Advisory Council and the National Supercomputing Centre in Singapore announced today that they have joined the global fight against COVID-19 by expanding the 2020 APAC HPC-AI competition to address education and applied learning towards accelerating bioscience research and discovery. “As part of the updated competition, student teams are now tasked to research, find and choose an HPC or AI application that can potentially be used as part of the global fight against COVID-19. Teams must demonstrate testing and benchmarking of the application, as well as explain how this application can best be accelerated. In addition, teams will also be required to focus on tuning and accelerating NAMD, a molecular dynamics code designed for high-performance simulation of large biomolecular systems.”

Visualizing and Simulating Atomic Structures with CUDA

In this video, John Stone from the University of Illinois, Urbana-Champaign discusses the role of CUDA and GPUs in processing large datasets to visualize and simulate high-resolution atomic structures. CUDA does this by allowing researchers to describe hundreds of thousands to millions of independent, data-parallel work units and write software that executes on those work units, all while achieving peak hardware performance.

Why UIUC Built HPC Application Containers for NVIDIA GPU Cloud

In this video from the GPU Technology Conference, John Stone from the University of Illinois describes how container technology in the NVIDIA GPU Cloud help the University distribute accelerated applications for science and engineering. “Containers are a way of packaging up an application and all of its dependencies in such a way that you can install them collectively on a cloud instance or a workstation or a compute node. And it doesn’t require the typical amount of system administration skills and involvement to put one of these containers on a machine.”

Video: Deploy HPC Applications Faster with NVIDIA GPU Cloud

The HPC application containers available on NVIDIA GPU Cloud (NGC) drastically improve ease of application deployment, while delivering optimized performance. The containers include HPC applications such as NAMD, GROMACS, and Relion. NGC gives researchers and scientists the flexibility to run HPC application containers on NVIDIA Pascal­ and NVIDIA Volta-powered systems including Quadro-powered workstations, NVIDIA DGX Systems, and HPC clusters.

Mellanox InfiniBand Delivers up to 250 Percent Higher ROI for HPC

Today Mellanox announced that EDR 100Gb/s InfiniBand solutions have demonstrated from 30 to 250 percent higher HPC applications performance versus Omni-Path. These performance tests were conducted at end-user installations and Mellanox benchmarking and research center, and covered a variety of HPC application segments including automotive, climate research, chemistry, bioscience, genomics and more.