
We successfully utilized OCLF ORNL GPU computing resources for efficient uncertainty analysis, which addressed the computational overhead caused by our proposed probabilistic models.
We successfully utilized OCLF ORNL GPU computing resources for efficient uncertainty analysis, which addressed the computational overhead caused by our proposed probabilistic models.
Two US Department of Energy (DOE) National Laboratories were recently awarded the 2018 Association for Computing Machinery鈥檚 (ACM鈥檚) Gordon Bell Prize for work done on the Oak Ridge Leadership Computing Facility鈥檚 (OLCF鈥檚) Summit supercomputer, the most
Researchers at the US Department of Energy鈥檚 Oak Ridge National Laboratory broke the exascale barrier, achieving a peak throughput of 1.88 exaops鈥攆aster than any previously reported science application鈥攚hile analyzing genomic data on the recently launch
A cross-disciplinary research team at Oak Ridge National Laboratory is using supercomputing to create an unprecedented view of the 3D interactions among components of the cellular machinery in Populus trichocarpa (black cottonwood)
A numerical weather forecasting model (WRF) was used to simulate 120 storms over the Alabama-Coosa-Tallapoosa (ACT) river basin to explore the effect of climate change on probable maximum precipitation (PMP).