In the News

Mar 6, 2019

Scientists use machine learning to identify high-performing solar materials

Finding the best light-harvesting chemicals for use in solar cells can feel like searching for a needle in a haystack. Over the years, researchers have developed and tested thousands of different dyes and pigments to see how they absorb sunlight and convert it to electricity. Sorting through all...

Feb 28, 2019

Why it takes a supercomputer to map a mouse brain

The Verge

Inside a 25,000 square foot room within Argonne National Laboratory one of the most formidable supercomputers in the world — Theta — is applying its incredible computing power to the largest batch of data ever recorded or analyzed. It’s information that researchers hope might one day contribute...

Feb 12, 2019

Argonne Looks to Singularity for HPC Code Portability


Scaling code for massively parallel architectures is a common challenge the scientific community faces. When moving from a system used for development—a personal laptop, for instance, or even a university’s computing cluster—to a large-scale supercomputer like those housed at the Argonne...

Feb 11, 2019

The Vision of Exascale Computing is Drawing Closer to Reality

Exascale Computing Project

The start of a new year inherently evokes a sense of anticipation of what exciting accomplishments and experiences may lie ahead. The Exascale Computing Project (ECP) has some particularly compelling reasons to feel energized and uplifted.

Feb 8, 2019

ALCF Research Benefits from Singularity


To help alleviate challenges associated with scaling code, the ALCF has deployed the service Singularity. Singularity, an open-source framework originally developed by Lawrence Berkeley National Laboratory (LBNL) and now supported by Sylabs Inc., is a tool for creating and running containers (...

Feb 7, 2019

HPC in Manufacturing

GE Research

Leveraging modeling and simulation-based engineering, Dr. Lawrence Cheung, a lead engineer in computational fluid dynamic (CFD) methods at GE Research, has made a significant breakthrough maximizing the efficiency and energy output of wind turbines...

Jan 30, 2019

Preparing the Next Generation of Supercomputer Users

Better Scientific Software

Using supercomputers for computational science and engineering (CSE) research requires expertise that is not always covered by formal education. To address this gap in professional training, we created the Argonne Training Program on Extreme-Scale Computing (ATPESC) in 2013.

Jan 21, 2019

Chasing a supernova

Argonne National Laboratory

As part of an internship at Argonne National Laboratory, Alec Lancaster helped to develop machine learning algorithms that run on Argonne’s supercomputers to sift through the enormous amounts of data generated by the Dark Energy Survey and categorize its supernovae.

Jan 7, 2019

Flying through the Universe with Supercomputing Power


In this video from SC18, Mike Bernhardt from the Exascale Computing Project talked with Salman Habib of Argonne National Laboratory about cosmological computer modeling and simulation.

Jan 4, 2019

Machine Learning Award Powers Engine Design at Argonne


With the help of ALCF supercomputing resources, researchers are refining their computational fluid dynamics (CFD) simulations to better capture the real-world behavior of combustion engines. As part of a partnership between the Argonne National Lab, Convergent Science, and Parallel Works, engine...