Los Alamos experiments with a quantum-physics device that could boost computation to the next level.
Oak Ridge National Laboratory is testing a ‘deep-learning supercomputer in a box’ as it looks ahead to machines that automatically find insights in data.
Biologically inspired architectures create opportunities and obstacles.
A University of Washington DOE early-career-awardee, with techniques called verified lifting and stencil programming, aims to boost speeds in climate models and other HPC simulations.
Lawrence Livermore National Laboratory’s time-saving HPC tool eases the way for next era of scientific simulations.
Berkeley Lab prepares for quantum-classical computing future.
Casper code helps move data invisibly.
PNNL-led Analysis in Motion group comes up with algorithms that assist real-time interactions with data.
Trillion-particle simulations take on the biggest big-data problems that exist.