Argonne National Laboratory

Science Highlights

Date Postedsort descending
The strength of CALCioM: reducing I/O cross-application contention

A major challenge in high-performance computing systems is reducing I/O interference between concurrent applications.

April 17, 2014
Using Poncho to deal with private clouds

Clouds have become a new way of providing computational, storage, and networking capabilities to users on demand.

April 28, 2014
RGG Training Offered

Argonne researchers will present training on RGG, the Reactor Geometry (and mesh) Generator, on June 12, 2014.

June 11, 2014
Rendering of the WECC Grid with novel graph algorithms methods that expose the hierarchical structure. Courtesy: Mahantesh Halappanavar (PNNL)
Anitescu discusses mathematics challenges of energy systems

Mihai Anitescu gave an invited presentation on June 12–13, 2014, at the initial meeting to launch the National Research Council study of the next-generation electric grid.

July 16, 2014
Images showing the two ways an icosahedral cluster of 12 spheres can rearrange when unlocked
Reconfigurable digital colloids

A team of researchers from Argonne, the University of Michigan, NYU, and the University of Colorado – Boulder has demonstrated how reconfigurable clusters of colloids can store data.

July 30, 2014
A new look at exascale resilience

With the emerging era of exascale computing, many challenges have come to light. One of the most troublesome is resilience – the ability to tolerate and gracefully recover from faults.

July 30, 2014
New project is the ACME of addressing climate change

Argonne National Laboratory is participating in the Accelerated Climate Modeling for Energy (ACME) project to accelerate the development and application of fully coupled, state-of-the-science Earth

August 11, 2014
Thinking like a library developer

Why do scientific simulation software users put up with build-time configuration and environment assumptions that increase the complexity of debugging and complicate the installation?

November 18, 2014
Swift provides scalable solution for APS beamline experiment

The Swift parallel scripting language, developed in the Mathematics and Computer Science Division, recently was used to enable efficient analysis of X-ray scattering data from the Advanced Photon S

December 8, 2014
Elucidating the structure of icosahedral quasicrystals

Soccer balls have it; so do virus capsids.

December 11, 2014