Researchers from Oak Ridge National Laboratory and the University of Central Florida have extended an evolutionary approach for training spiking neural networks.
A team of researchers from Oak Ridge National Laboratory applied advanced statistical methods from biomedical research to study an unexpected failure mode of general-purpose computing on graphics processing units (GPGPUs).
At this year’s International Conference for High Performance Computing, Networking, Storage and Analysis, also known as SC20, a paper published 18 years ago received the Test of Time Award.
Six ORNL scientists have been elected as fellows to the American Association for the Advancement of Science, or AAAS.
A multi-institutional team, led by a group of investigators at Oak Ridge National Laboratory, has been studying various SARS-CoV-2 protein targets, including the virus’s main protease.
ORNL and three partnering institutions have received $4.2 million over three years to apply artificial intelligence to the advancement of complex systems in which human decision making could be enhanced via technology.
Katie Schuman and Pedro Valero-Lara, computer scientists at ORNL, are two of the three winners of the 2020 Early Career Researcher Award for Excellence in HPC through the Institute of Electrical and Electronics Engineers Computer Society.
Researchers developed a novel algorithm for resilient and communication-efficient parallel matrix multiplication in HPC systems.
Five researchers at the Department of Energy’s Oak Ridge National Laboratory have been named ORNL Corporate Fellows in recognition of significant career accomplishments and continued leadership in their scientific fields.
In the early 2000s, high-performance computing experts repurposed GPUs — common video game console components used to speed up image rendering and other time-consuming tasks