Robert Hettich: Decoding biological complexity with next-gen mass spectrometry
Researchers from ORNL have developed a new application to increase efficiency in memory systems for high performance computing. Rather than allow data to bog down traditional memory systems in supercomputers and impact performance, the team from ORNL, along with researchers from the University of Tennessee, Knoxville, created a framework to manage data more efficiently with memory systems that employ more complex structures.
Massimiliano (Max) Lupo Pasini, an R&D data scientist from ORNL, was awarded the National Energy Research Scientific Computing Center’s High Performance Computing Achievement Award for High Impact Scientific Achievement for his work in “Groundbreaking contributions to scientific machine learning, particularly through the development of HydraGNN.”
Researchers at the Department of Energy’s Oak Ridge National Laboratory are using non-weather data from the nationwide weather radar network to understand how to track non-meteorological events moving through the air for better emergency response.
Computer users soon may no longer need to fear the loss of valuable data every time they hear thunder or see the lights flicker.Under the joint sponsorship of the Department of Energy (DOE) and Defense Advanced Research Projects Agency (DARPA), researchers at Oak Ridge National Laboratory (ORNL) ar...
Alton F. Huntley of Lockheed Martin Energy Systems (LMES) Data Systems Research and Development (DSRD) Division has received one of the International Sybase User Group's three Outstanding Achievement Awards.