January 2017   |   Computer Science, Exascale Science

Upscale computing

National labs lead the push for operating systems that let applications run at exascale.

Nanomaterials
December 2016

Molecular arrangements

A University of Michigan team uses high-performance computing at Oak Ridge to predict how crystals form.

Geoscience
December 2016

Bake and shake

A Princeton-led team uses earthquakes and Oak Ridge’s Titan supercomputer to map the heat engine called Earth.

Particle Physics
November 2016

HEPCloud formation

To handle troves of high-energy physics data, Fermilab researchers and others are turning to high-performance computing labs, academic grids and the commercial cloud.

Science Highlights

June 2016

Predicting turbulence in fusion plasmas

Data from experiments and advanced codes combine with supercomputing muscle to help explain a half-century-old mystery.

Developing practical fusion energy has been impeded for decades by high heat loss from magnetically confined plasmas. Researchers from MIT, University of California at San Diego and General Atomics captured the dynamics of plasma turbulence linked to heat loss on unprecedented scales. Pictured here is the inside of the Alcator C-Mod tokamak, the inset depicting plasma turbulence simulations that show long wavelength blobs coexisting with short wavelength streamers – small, finger-like structures that comprise the turbulence in the core of the experimental plasmas.

View full highlight »