November 2022
Compile-o-matic
An Early Career awardee wants to automate the most vexing aspects of traditional scientific software development for supercomputers.
Category Archives: Computer Science
October 2022
Efficient and inclusive
Argonne computer scientist works on power and processor efficiency while diversifying the workforce.
August 2022
Boxing in software
At Los Alamos, novel container software is accelerating innovative science while ensuring supercomputer reliability and uptime.
July 2021
Data alchemy
A Harvard DOE early-career awardee says scientific big-data management needs a major structural reorganization.
October 2020
Banishing blackouts
An Argonne researcher upgrades supercomputer optimization algorithms to boost reliability and resilience in U.S. power systems.
May 2018
The incredible shrinking data
An Argonne National Laboratory computer scientist finds efficiencies for extracting knowledge from a data explosion.
May 2018
Balancing the load
Los Alamos researchers develop code to distribute computation more efficiently and across increasing numbers of supercomputer processors.
February 2018
Reducing uncertainty
A Sandia researcher applies his DOE early-career award to improving predictive reliability in high-performance computing.
November 2017
Language barrier
A Purdue University professor is using a DOE early-career award to bridge gaps in high-performance computing languages.
October 2017
A Spark in the dark
The cosmological search in the dark is no walk in the park. With help from Berkeley Lab’s NERSC, Fermilab aims open-source software at data from high-energy physics.