Researchers from Argonne National Laboratory, the University of Chicago and the Riken Center for Computational Science, Japan, have now developed a tool that expresses code by abstractions that minimize code duplication.
Simulation has become a key part of scientific discovery – complementing experiment, helping guide engineering designs and providing insight into complex problems infeasible in the lab.
In the introduction to the July 2021 special issue of the journal SoftwareX, Keahey and her coeditors present a strong argument for giving software the respect it deserves – and the funding that must accompany it.
Researchers from Argonne National Laboratory, together with colleagues from George Mason University and Ohio State University, have devised an automated method that identifies the optimal locations of rain gauges.
A team of researchers from Argonne and three universities have developed a co-design framework for SZ to reduce data size while ensuring acceptable data fidelity
