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CPS computational scientists share best practices and cutting-edge research.

Connecting with Computational Science

Moving from Approximations to Absolute Accuracy Part 1

Computational scientist Anouar Benali explains how deep understanding of simulation theories, like Quantum Monte Carlo, can be applied across all fields of science to increase the accuracy of results.

Moving from Approximations to Absolute Accuracy Part 2

Anouar Benali describes how CPS pushes the boundaries of current computational methods to simulate significantly larger systems at the highest levels of accuracy.

Partnering with CPS for Bigger, Faster, Bolder Science

How do you want to use supercomputers? Computational Scientist Christopher Knight examines how CPS can help make the most of a supercomputing run.

Sprinting with Supercomputers

Want to harness the power of machine learning? Computational scientist Kyle Felker can help. CPS can super-charge your high-performance computing experience.

Creating a Supercomputing Community

Computational scientist Paul Romano shares how Open MC and the Monte Carlo method help ensure that researchers’ simulations work quickly and efficiently on today’s GPUs-based supercomputers.

From Equations to Results

Computational scientist Ye Luo discusses how he helps researchers communicate their computing needs and acts as a bridge between scientific and technical experts.

Webinars and Workshops

Taking HACC into the Exascale Era: New Code Capabilities, and Challenges

Lessons learned with novel programming modes while preparing HACC for multiple exascale systems, with Esteban Rangel.

CFDML – Data Analytics and ML for Exascale CFD

This application case study was featured at the 2022 ALCF Simulation, Data, and Learning Workshop. With Esteban Rangel and Riccardo Balin.

Performance and Portability Lessons from HACC

Salman Habib presents this session at the Argonne Training Program on Extreme-Scale Computing, Summer 2015.

How to Stuff a Supercomputer Inside a Laptop

Lecture from the 2014 Argonne Training Program on Extreme-Scale Computing with Salman Habib.

Quantum Monte Carlo Simulations

Anouar Benali presents this session from the 2014 Argonne Training Program on Extreme-Scale Computing.

Performance and Portability Lessons from HACC

Presented by Salman Habib at the Argonne Training Program on Extreme-Scale Computing, Summer 2013.

Talks and Panel Discussions

Director’s Special Colloquium: The Future of Computing

This panel discussion featuring Salman Habib speculates about new forms of computing and discusses ways of computing that do not rely on increasing computational power but are instead based on different paradigms.

QMCPACK Performance Portability on NVIDIA and AMD GPUs

QMCPACK developers have migrated the code base to a performance portable implementation for science production on powerful new exascale machines with out-of-box experience, featuring Ye Luo.

SC20: IEEE Sidney Fernbach Award

Salman Habib shares a personal perspective on the evolution of supercomputing in scientific research, with a focus on computational cosmology and the HACC code.

Aurora, Argonne’s First Exascale System

Tim Williams provides an overview of software and hardware architecture of Argonne’s upcoming exascale machine, Aurora.

Short Features

Supercomputing Sheds Light on the Dark Universe

Scientists including Salman Habib will use an Argonne supercomputer to run the largest, most complex simulation of the universe ever attempted.

Simulations

Excitation of Argon Cluster Due to Intense X-ray Pulse

Illustration of an intense x-ray pulse exciting a cluster of Argon atoms with initially dormant electrons absorbing energy and escaping the system.

Secrets of the Dark Universe: Simulating the Sky on the Blue Gene/Q The Outer Rim Simulation

This video shows an intermediate stage in a large simulation of the distribution of matter in the universe, accounting for the influence of dark energy.

Verification Study of Buoyancy-Driven Turbulent Nuclear Combustion

This video shows large-scale 3D simulations of buoyancy-driven turbulent nuclear combustion for three different physical situations.