Todd Raeker, Research Technology Consultant at the University of Michigan shares how a group of 50 researchers at University of Michigan are using GPUs and OpenACC to accelerate the codes for their data-driven physics simulations.
Nicholas Bedworth, founder of SocialEyes, shares how they are developing cost-effective mobile AI diagnostic tools that can provide critically-needed medical services to low-resource societies.
Phil Maechling, a computer scientist at USC’s Southern California Earthquake Center shares how they are using the Tesla GPU-accelerated Titan and Blue Waters supercomputers with CUDA to analyze the impact of earthquakes and why and when they occur.
Anton van den Hengel, director of The University of Adelaide’s Australian Centre for Visual Technologies shares how his research group is working on Visual Question Answering (VQA) which uses deep learning to understand the contents of an image.
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
Joel Dudley, an Associate Professor at the Icahn School of Medicine at Mount Sinai in New York shares how he is developing and applying advanced computational methods to integrate the digital universe of information to build better predictive models
Ronald Summers, Senior Investigator at the National Institutes of Health (NIH) shares how they are trying to improve patient care by increasing the accuracy of radiologic diagnosis with advanced computer techniques.
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.
Shahab Fatemi, PhD Fellow at the University of California Berkeley Space Sciences Laboratory, shares how his team is using CUDA, TITAN X and Tesla K80 GPUs to develop a three-dimensional plasma model that can provide a better understanding of how sol
Janus Juul Eriksen, a Ph.D. fellow at Aarhus University in Denmark, shares how he is using OpenACC to optimize and accelerate the quantum chemistry code LSDalton on the Titan Supercomputer at Oak Ridge National Laboratory.
