Argonne and TAE Technologies heating up plasma energy research

Scientists at TAE Technologies are performing simulations on the ALCF's Theta supercomputer to accelerate the company's experimental fusion research program.

Aurora

Argonne teams up with Altair to manage use of upcoming Aurora supercomputer

The ALCF will be working with Altair to develop a scheduling system for the lab's future exascale system.

2020 INCITE awards

In its 15th year, INCITE advances open science with supercomputer grants to 47 projects

The U.S. Department of Energy has awarded supercomputing time to 47 science projects for 2020 through its Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program.

CANDLE

Automating the development of deep-learning-based predictive models for cancer research

In a paper to be presented at SC19, Argonne researchers detail the creation of a neural architecture search that automates the development of deep-learning-based predictive models for cancer data.

supernova visualization

Argonne researchers to share scientific computing insights at SC19

More than 90 Argonne researchers will share insights and advances on topics ranging from exascale computing and big data analysis to artificial intelligence and quantum computing.

Announcement

 

Get Ready for Aurora!

Download Intel’s software project – “One API” – to begin getting your science applications ready for Aurora. Intel® DevCloud for oneAPI Projects >>


Featured Video

How Smart is a Supercomputer?
ALCF Director of Science Katherine Riley discusses the value of supercomputing in a recent episode of the YouTube science series, The Good Stuff.

In the News

Argonne and TAE Technologies Collaborate on Plasma Energy Research
HPCwire
Supercomputing With Aurora, NoLoad And Pure Competition
Forbes
The Top Supercomputers Remain the Same; New Technology Shows A Road to Exascale
PC Magazine

Events

Dec 11, 2019

Mixed-Integer PDE-Constrained Optimization

Building 240/Room 4301
Dec 18, 2019

Investigating Quasi-Newton Outer Product Representations on GPUs

Building 240/Room 1404-1405