To help tackle COVID-19, the long-running Folding@Home program, a distributed computing project for simulating protein dynamics, hit a breakthrough by achieving more than an exaflop of processing power.
To help respond to the COVID-19 coronavirus outbreak, researchers at the Oak Ridge National Laboratory (ORNL) are using the world’s fastest supercomputer to identify compounds that may effectively combat the virus.
NVIDIA GPUs power the world’s fastest supercomputer, and 20 of the 100 most powerful supercomputing clusters in the world are also powered by them too.
Researchers from Google, along with collaborators from academia, announced today they developed a deep learning-based system for identifying protein crystallization, achieving a 94 percent accuracy rate.
Physicists from more than a dozen institutions used the power of the GPU-accelerated Titan Supercomputer at Oak Ridge National Laboratory to calculate a subatomic-scale physics problem of measuring the lifetime of neutrons.
For the first time ever, chemists from the University of California, San Diego designed a two-dimensional protein crystal simulation that toggles between states of varying porosity and density.
Scientists used an extremely high-resolution transmission electron microscope to capture 2D projections of the nanoparticle’s structure, and used an algorithm to stitch those together into a 3D reconstruction.
Thomas Cheatham, professor of Medicinal Chemistry and the director of research computing at University of Utah shares how they’re using the GPU-accelerated Blue Waters supercomputer and NVLink to compute the interactions of atoms that can lead to dru
Gil Speyer, Senior Postdoctoral Fellow at the Translational Genomics Research Institute (TGen) shares how NVIDIA technology is accelerating the computer processing of transcriptomes from thousands of cells gleaned from patient tumor samples.
