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Argonne Claims Largest Engine Flow Simulation Using Theta Supercomputer

Scientists at the U.S. Department of Energy’s (DOE) Argonne National Laboratory have conducted what they claim is the largest simulation of flow inside an internal combustion engine. Insights gained from the simulation – run on 51,328 cores of Argonne’s Theta supercomputer – could help auto manufacturers to design greener engines. A blog post on the […]

Supercomputing the San Andreas Fault with CyberShake

With help from DOE supercomputers, a USC-led team expands models of the fault system beneath its feet, aiming to predict its outbursts. For their 2020 INCITE work, SCEC scientists and programmers will have access to 500,000 node hours on Argonne’s Theta supercomputer, delivering as much as 11.69 petaflops. “The team is using Theta “mostly for dynamic earthquake ruptures,” Goulet says. “That is using physics-based models to simulate and understand details of the earthquake as it ruptures along a fault, including how the rupture speed and the stress along the fault plane changes.”

Video: Profiling Python Workloads with Intel VTune Amplifier

Paulius Velesko from Intel gave this talk at the ALCF Many-Core Developer Sessions. “This talk covers efficient profiling techniques that can help to dramatically improve the performance of code by identifying CPU and memory bottlenecks. Efficient profiling techniques can help dramatically improve the performance of code by identifying CPU and memory bottlenecks. We will demonstrate how to profile a Python application using Intel VTune Amplifier, a full-featured profiling tool.”

Theta and the Future of Accelerator Programming at Argonne

Scott Parker from Argonne gave this talk at ATPESC 2019. “Designed in collaboration with Intel and Cray, Theta is a 6.92-petaflops (Linpack) supercomputer based on the second-generation Intel Xeon Phi processor and Cray’s high-performance computing software stack. Capable of nearly 10 quadrillion calculations per second, Theta enables researchers to break new ground in scientific investigations that range from modeling the inner workings of the brain to developing new materials for renewable energy applications.”

Argonne-led team wins SCinet Technology Challenge at SC19

An extensive collaboration led by Argonne won the Inaugural SCinet Technology Challenge at the SC19 conference by demonstrating real-time analysis of light source data from Argonne’s APS to the ALCF. “Accelerator-based light sources — large-scale instruments used to investigate the fundamental properties of matter — generate large amounts of data that require computational analysis. The Argonne team won by designing an innovative method to support such investigations.”

Call for Proposals: Get on Big Iron with the ALCF Data Science Program

The ALCF Data Science Program at Argonne has issued its Call for Proposals. The program aims to accelerate discovery across a broad range of scientific domains which require data-intensive and machine learning algorithms to address challenging research problems. “Ongoing and past ADSP projects span a diverse range of science domains, e.g. Materials, Imaging, Neuroscience, Engineering, Combustion/CFD, Cosmology; and involve large science collaborations.”

Video: Managing large-scale cosmology simulations with Parsl and Singularity

Rick Wagner from Globus gave this talk at the Singularity User Group “We package the imSim software inside a Singularity container so that it can be developed independently, packaged to include all dependencies, trivially scaled across thousands of computing nodes, and seamlessly moved between computing systems. To date, the simulation workflow has consumed more than 30M core hours using 4K nodes (256K cores) on Argonne’s Theta supercomputer and 2K nodes (128K cores) on NERSC’s Cori supercomputer.”

Video: Argonne’s Theta Supercomputer Architecture

Scott Parker gave this talk at the Argonne Training Program on Extreme-Scale Computing. “Designed in collaboration with Intel and Cray, Theta is a 9.65-petaflops system based on the second-generation Intel Xeon Phi processor and Cray’s high-performance computing software stack. Capable of nearly 10 quadrillion calculations per second, Theta will enable researchers to break new ground in scientific investigations that range from modeling the inner workings of the brain to developing new materials for renewable energy applications.”

Mapping the Brain with the Theta Supercomputer

Researchers are using the Theta supercomputer at Argonne to map the intricate layout of brain neurons. “The basic goal is simple — would like to be able to image all of the neurons in the brain — but the datasets from X-rays and electron microscopes are extremely large,” said Doga Gursoy, assistant computational scientist in the X-Ray Science Division of Argonne’s Advanced Photon Source. They are at the tera- and petabyte scales. So we would like to use Theta to build the software and codebase infrastructure in order to analyze that data.”

Argonne to Install 1.5 Petaflop Cray CS400 Cluster

Today Cray announced a contract to deliver a Cray CS400 cluster supercomputer to the Laboratory Computing Resource Center (LCRC) at Argonne National Laboratory. The new Cray system will serve as the Center’s flagship cluster, and in continuing with LCRC’s theme of jazz-music inspired computer names, the Cray CS400 system is named “Bebop.”