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HPC in the News: Data Management Automation and Faster Processor Gates; Intel and TSMC in Arizona, Europe

The everlasting rat’s nest that is scientific computing data management, the permanent quest for more advanced-level processing power, and investments in new fabs for advanced chips are HPC topics in the news this week. Taking on data management at the upper reaches of data-intensive workloads is Harvard University Associate Professor Stratos Idreos, who two years […]

Let’s Talk Exascale Code Development: WDMAPP—XGC, GENE, GEM

This is episode 82 of the Let’s Talk Exascale podcast, provided by the Department of Energy’s Exascale Computing Project, exploring the expected impacts of exascale-class supercomputing. This is the third in a series on sharing best practices in preparing applications for the upcoming Aurora exascale supercomputer at the Argonne Leadership Computing Facility. The series highlights […]

Argonne-led Team of Scientists Use AI to Detect Gravitational Waves

JULY 6, 2021 — When gravitational waves were first detected in 2015 by the advanced Laser Interferometer Gravitational-Wave Observatory (LIGO), they sent a ripple through the scientific community, as they confirmed another of Einstein’s theories and marked the birth of gravitational wave astronomy. Five years later, numerous gravitational wave sources have been detected, including the first […]

Argonne Researchers Use AI to Optimize Material Coating for Making Microprocessors

To make computer chips, technologists around the world rely on atomic layer deposition (ALD), which can create films as fine as one atom thick. Businesses commonly use ALD to make semiconductor devices, but it also has applications in solar cells, lithium batteries and other energy-related fields. Today, manufacturers increasingly rely on ALD to make new types of films, but […]

Argonne and Oak Ridge Award Codeplay Software to Strengthen SYCL Support

Argonne National Laboratory (Argonne) in collaboration with Oak Ridge National Laboratory (ORNL), has awarded Codeplay a contract implementing the oneAPI DPC++ compiler, an implementation of the SYCL open standard software, to support AMD GPU-based high-performance compute (HPC) supercomputers. The Argonne Leadership Computing Facility (ALCF) is deploying an exascale supercomputer, Aurora, based on Intel GPUs with […]

Preparing for Exascale: Aurora Software Development – Packaging and Early Hardware

By coordinating efforts to improve early exascale hardware stability at the Argonne Leadership Computing Facility (ALCF), computer scientist Servesh Muralidharan is working to make it easier for application developers to use Aurora testbeds at Argonne’s Joint Laboratory for System Evaluation (JLSE). His work will facilitate a faster transition to the Aurora system upon its delivery and help […]

Argonne Claims 1st Full-core Pin-resolved Nuclear Reactor Model

Understanding the physical behavior inside an operating nuclear reactor can be done only with simulations on a supercomputer due to the high-pressure, high-temperature, and radioactive environment inside a reactor core. The whirls and eddies of coolant that flow around the fuel pins play a critical role in determining the reactor thermal and hydraulics performance and […]

6 Argonne Researchers Win DOE Early Career Research Program Awards

May 27, 2021 — Argonne scientists Corey Adams, Melina Avila Coronado, Lindsey Bleem, Si Chen, Sheng Di and Xueying Lu are among 83 scientists nationwide to receive the coveted funding and recognition. Now in its 12th year, the DOE’s Early Career Research Program awards each recipient with at least $500,000 per year for five years to advance their […]

ALCF Data Science Program Awards 4 Projects

The Argonne Leadership Computing Facility (ALCF) recently awarded computing time and resources to three new projects and one renewed project for 2021-2022, through its ALCF Data Science Program (ADSP). Launched in 2016, the ADSP enables big data and artificial intelligence (AI) research that requires DOE’s leadership-class computing resources. The forward-looking allocation program is designed to explore […]

An Update on Aurora Exascale Readiness at Argonne

For a number of years, Intel has provided the Advisor and VTune performance profiling software for CPU-based Intel architectures. In advance of the delivery of the ALCF’s Intel-HPE exascale system, Aurora, in 2022, Intel has been extending those tools to its Xe GPU architecture. Because the Aurora software development kit (SDK) incorporates multiple major programming models—such as DPC++/SYCL, OpenMP Target offloading (for C, C++ and Fortran), OpenCL, Kokkos, and RAJA—those tools need to be tested across every combination of programming model. Many important applications being developed under DOE’s Exascale Computing Project (ECP) integrate Intel’s optimized math libraries to maximize their performance; it is therefore crucial that Advisor and VTune are able to capture their performance characteristics seamlessly.