The ever-increasing volume of scientific data necessitates new approaches to compress the data enough to fit simulation and experiment user constraints in terms of storage space, I/O speed, memory size.
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.
Wind farms are increasingly gaining attention as an alternative energy source. But the wakes generated by the wind turbines lead to energy losses, significantly degrading the efficiency of wind power plants.
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.