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.
A University of Utah team is turning to high-performance computing to design a clean oxy-coal boiler.
PETSc, a library of ready-to-use high-performance computing software, is gaining renown for its simulation-tackling tools.
Data efficiency blooms with the ROSE Framework.
This SC14 Test of Time-winning research from the mid-1990s made big computational models amenable to parallel processing.
A Colorado School of Mines professor’s mathematical methods probe inputs to cut problem size and ease computation.
Researchers seek new ways to help supercomputers bounce back.