Researchers at Oak Ridge National Laboratory developed a new parallel performance portable algorithm for solving the Euclidean minimum spanning tree problem (EMST), capable of processing tens of millions of data points a second.
After nearly seven years of intense development, the URBAN-NET infrastructure quantification tool is being made available to users.
A graph convolutional neural network (GCNN) was trained with millions of molecules to accurately predict molecular photo-optical properties by scaling data loading and training to over 1,500 GPUs on the Summit and Perlmutter supercomputers at the OLCF a
Olivera Kotevska, a research scientist in Oak Ridge National Laboratory’s Computing and Computational Sciences Directorate, has been awarded senior membership by the Institute of Electrical and Electronics Engineers, the world’s largest association for
Piyush Sao, a research scientist in Oak Ridge National Laboratory’s Computing and Computational Sciences Directorate, has received the Best Paper Prize from the Society for Industrial and Applied Mathematics (SIAM) Activity Group on Supercomputing.
The researchers from ORNL have developed a new and faster algorithm for the graph all-pair shortest-path (APSP) problem.