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ALCF GPU Hackathon and Computational Performance Workshop: Prepping Researchers for Current & Future HPC

As the Argonne Leadership Computing Facility (ALCF) continues its transition to deploying and operating supercomputers powered by graphics processing units (GPUs), training researchers to use the powerful new resources for science is becoming increasingly important. Last year, the facility expanded its Theta supercomputer with GPUs to provide a dedicated resource for COVID-19 research as well […]

ALCF Developer Session: Inside the NVIDIA Ampere A100 GPU in ThetaGPU and Perlmutter

On Wednesday, July 28 at 11 am CT, the Argonne Leadership Computing Facility will present a developer session focused on utilization of the Nvidia Ampere A100 GPU in ALCF’s ThetaGPU and NERSC’s Perlmutter supercomputers. Registration is here. The Ampere A100 GPU builds on the performance of the NVIDIA V100 GPU and includes new features for […]

ALCF Computing Time Awarded to 16 projects

The U.S. Department of Energy’s (DOE) Advanced Scientific Computing Research (ASCR) Leadership Computing Challenge (ALCC) has awarded 16 projects totaling 6.75 million node-hours at the Argonne Leadership Computing Facility (ALCF). Each year, the ASCR program, which manages some of the world’s most powerful supercomputing facilities, selects ALCC projects in areas that aim to further DOE […]

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 […]

ECP and ALCF to Host June 21 Twitter Chat on Extreme-scale Scientific Software Stack https://wp.me/p3RLHQ-mQa

On June 21 at 2 p.m. ET, the Exascale Computing Project (ECP) and the Argonne Leadership Computing Facility will host a chat on ECP’s Twitter account (@exascaleproject) that will address several questions concerning the Extreme-scale Scientific Software Stack (E4S) that ECP is developing for the nation’s forthcoming exascale systems. E4S will have a far-reaching impact on the […]

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 […]

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.

Caterpillar and Argonne Use HPC to Simulate Better Efficiency, Reduced Emissions in Diesel Engines

Heavy-duty diesel engines power most large vehicles used in the construction, mining and transportation industries in the United States. To tackle problems of fuel efficiency and pollution, researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory joined forces with Caterpillar Inc., manufacturer of construction and mining equipment, using Argonne’s HPC resources, to develop designs […]

Porting a Particle-in-Cell Code to Exascale Architectures

By Nils Heinonen on behalf of the Argonne Leadership Computing Facility As part of a series aimed at sharing best practices in preparing applications for Aurora, we highlight researchers’ efforts to optimize codes to run efficiently on graphics processing units. Take advantage of upgrades being made to high-level, non-machine-specific libraries and programming models Developed in […]