A multidisciplinary team of researchers from Oak Ridge National Laboratory (ORNL) and other institutions created a Machine Learning (ML) library for the training of classifiers on spectrographic chemical data.
A multidisciplinary team of researchers from Oak Ridge National Laboratory (ORNL) pioneered the use of the LLVM-based high-productivity/high-performance Julia language unifying capabilities to write an end-to-end workflow on Frontier, the first US Depar
A team of researchers from Oak Ridge National Laboratory (ORNL) released the initial draft of the Interconnected Science Ecosystem (INTERSECT) architecture specification.
Transformer language models provide state-of-the-art accuracy in a range of learning tasks, ranging from natural language processing to non-traditional applications such as molecular design.
As the mission space of NA-213 Office of Nuclear Detection and Deterrence continues to evolve away from traditional stationary monitoring at borders and ports, the need for a solution to maintain situational awareness is critical.
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).
Researchers at the US Department of Energy’s Oak Ridge National Laboratory broke the exascale barrier, achieving a peak throughput of 1.88 exaops—faster than any previously reported science application—while analyzing genomic data on the recently launch
Researchers conduct unprecedented study on GPUs of damaging, high-frequency shaking When the last massive earthquake shook the San Andreas Fault in 1906—causing fires that burned down most of San Francisco and leaving half the city’s population homeless—
Petaflop computing simulates signaling in a receptor complex of 400,000 atoms Scientists want to manipulate cell behavior for a lot of reasons.
Eos, a Cray XC30 system has 744 nodes divided among four cabinets, is one of the OLCF's newest computing resources.