Argonne National Laboratory

Science Highlights

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Globus Galaxies: Gateway to Science Discovery

Researchers launch new Globus Galaxies platform.

September 24, 2015
Marc Snir gives keynote address at IEEE Cluster 2015

Marc Snir, director of Argonne’s Mathematics and Computer Science Division and Michael Faiman and Saburo Muroga Professor at Urbana-Champaign, delivered a keynote speech at Cluster 2015, Sept. 10, 2015, in Chicago.

September 21, 2015
M2ACS project highlighted in 2015 Quadrennial Technology Review

The 2015 Quadrennial Technology Review, released Sept. 10 by the U.S. Department of Energy, includes a discussion of the Argonne-led Multifaceted Mathematics for Complex Energy Systems (M2ACS) project.

September 14, 2015
COOLR collaborators to hold annual meeting on thermal-aware computing

On Sept. 23, 2015, Argonne will host the first annual meeting of COOLR.

September 14, 2015
Improving the computational efficiency of NWChem for water cluster simulations

researchers from Argonne, Intel Labs, and RIKEN (Japan) have now developed “Casper,” a process-based asynchronous progress model that dramatically improves the computational efficiency of NWChem for water cluster simulations.

September 8, 2015
Argonne workshop discusses theory and applications of automatic differentiation

Argonne National Laboratory hosted the Third Argonne Workshop on Automatic Differentiation on August 20-21, 2015.

August 28, 2015
Release of RGG 2.0 mesh toolkit announced

The Reactor Geometry Generator development team at Argonne National Laboratory is pleased to announce the release of RGG 2.0.

August 3, 2015
MPI tutorial to be held at Argonne

The Mathematics and Computer Science Division will hold a full-day tutorial on “Parallel Programming with MPI” at Argonne’s Theory and Computing Sciences Center on June 5.

May 19, 2015
Addressing trust in numerical simulations — help wanted!

Trust is a serious and insufficiently recognized problem.

May 11, 2015
Using machine learning approaches for load balancing of climate models

Complex climate simulation models must exploit today’s most advanced leadership-class compute platforms to provide meaningful predictions.

February 20, 2015