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ALCF @ ISC 2021

Don't miss out on ALCF's contributions to the annual ISC High Performance conference and Intel's oneAPI Developer Summit at ISC. ALCF's Kristopher Rowe, Saumil Patel, Nevin Liber, Kevin Brown, Kevin Harms, and Prasanna Balaprakash are among the speakers participating in the upcoming events.

ISC logo

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ECP and ALCF to Host Twitter Chat June 21

Interested in hearing about the software stack being developed for the U.S Department of Energy's upcoming exascale supercomputers? Tune in to the Exascale Computing Project's Twitter page (@exascaleproject) at 2pm (ET) on Monday, June 21, for a live Twitter chat with the team behind the Extreme-scale Scientific Software Stack (E4S).

ECP-ALCF Twitter Chat

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Petascale DTN project featured in the Next Platform

A new article from the Next Platform highlights the work being done by Petascale DTN project. Argonne’s William Allcock, Andrew Cherry, Salman Habib, and Adrian Pope are part of the collaborative effort with researchers from LBNL, NCSA and ORNL that succeeded in achieving routine data transfer rates of over 1 petabyte per week between four HPC facilities.

Petascale DTN project

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Video: ALCF's Scott Parker discusses ECP Application Integration efforts

In a new video from DOE’s Exascale Computing Project, ALCF’s Scott Parker provides an overview of how the ECP Application Integration effort is helping to ensure scientific applications are ready for the nation’s upcoming exascale supercomputers.

ECP Video: Scott Parker

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ECP highlights paper co-written by ALCF's Christopher Knight

The Exascale Computing Project highlights a recent publication on “rendezvous methods" from Christopher Knight of Argonne National Laboratory and Steven Plimpton of Sandia National Laboratories. Check it out to learn how these algorithms work in the context of large-scale scientific modeling and simulation codes and how they can be help reduce performance bottlenecks and scale effectively to exascale machines.

 Rendezvous methods reduce performance bottlenecks in particle and grid-based simulations

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ALCF's Corey Adams receives DOE Early Career Research Program award

ALCF's Corey Adams was one of six Argonne National Laboratory researchers to receive a DOE Early Career Research Program Award. Congrats to Corey and the 83 scientists across the country recognized with this prestigious award!

Corey Adams

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ALCF's Venkat Vishwanath to discuss AI for Science at CogX Festival

At the CogX Festival on June 16, 2021, ALCF's Venkat Vishwanath will join researchers from SambaNova Systems for a session titled "Supercharging science: How organisations can drive innovation with AI." The session will cover how ALCF is using novel AI architectures, like SambaNova, to scale AI model performance for science.

CogX Festival: Supercharging science: How organisations can drive innovation with AI

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Michael Papka and Joe Insley's NIU students partner with WNIJ reporters to tell stories with data

In addition to their roles at the ALCF, Michael Papka and Joe Insley serve as professors at Northern Illinois University. Students in their data visualization courses have been teaming up with WNIJ to help tell their stories with graphs, maps and other data visualizations.

NIU students partner with WNIJ reporters to tell stories with data

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ALCF staff members to present research at IPDPS 2021

This week's IEEE International Parallel & Distributed Processing Symposium (IPDPS) is a great place to hear about the latest research in parallel computing. If you're attending virtually, be sure to check out these paper presentations from ALCF researchers.

ALCF at IPDPS 2021

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ALCF-ITT team recognized with best paper award at CCGrid 2021

Researchers from Argonne National Laboratory and Illinois Institute of Technology were recognized with a best paper award at this week's IEEE/ACM CCGrid 2021 symposium for their study "DLIO: A Data-Centric Benchmark for Scientific Deep Learning Applications." The team developed a new benchmark for deep learning applications to emulate their data access patterns, identify I/O bottlenecks, and evaluate performance optimizations at scale with a diverse set of science applications on the ALCF's Theta supercomputer. Congratulations to the authors Hariharan Devarajan, Huihuo Zheng, Anthony Kougkas, Xian-He Sun, and Venkatram Vishwanath!

CCGrid 2021: DLIO: A Data-Centric Benchmark for Scientific Deep Learning Applications