This project investigates the use of Implicit Neural Representations (INRs) to compress and predict three-dimensional fields generated by application codes that typically run on ALCF supercomputers, such as NekRS and LAMMPS. INRs have proven to be a powerful tool for compressing large-scale volume data, enabling efficient in situ visualization. Building on prior work that developed a distributed volumetric neural representation optimized for in s...
The student will perform research related to characterizing high-temperature polymer electrolytes for electrochemical systems. Education and Experience Requirements. Must be currently enrolled full-time at an accredited institution. Must be 18 years or older at the time the appointment begins. Job Family. Visiting Student Graduate. Job Profile. Visiting Student - Graduate. Worker Type. Employee. Time Type. Full time. Scheduled Weekly Hours. 40. E...
Applications in the domain of Earth Science like climatology, weather prediction, and their effect on day-to-day design decisions involved in agriculture, transportation, and resource allocation have found success by leveraging Large Vision-based transformer models. These models can have number of parameters ranging from millions to billions making the learning step computationally expensive. The goal of this project is to explore approximation s...
This project explores the potential of in situ training and learning to optimize computational solvers for HPC codes simulating blood flow transport. The goal is to replace expensive portions of the solver with machine learning (ML) approximations, which may deliver acceptable solutions while reducing computational time and resource demands. Leveraging prior expertise from ALCF colleagues on in situ training and inference, this project will study...
Inventory all internal webservices we, ALCF, has and make sure CheckMk is performing checks of these websites. Ensure people are subscribed to the write contact groups. Also, build out our documentation on confluence on how to do things in CheckMk. Work on an automated process to add and register newly built hosts in CheckMk, and assign them to a “Unassigned” folder. Also work on implementing JMX monitoring within CheckMk for our Java application...
Pepper is a newly written Event Generator that can simulate the collisions at the Large Hadron Collider (LHC). It achieves portability using Kokkos and scalability using MPI. This project will further develop and optimize Pepper with two goals in mind 1) native scaling performance on a massive multi-node scale using the Aurora and Polaris supercomputers at ALCF. and 2) integration with AI frameworks and how best to distribute and balance the work...
The student will work with Argonne staff scientists to implement hyperelasticity and damage models in NEML2 and MOOSE. Education and Experience Requirements. Must be currently enrolled full-time at an accredited institution and have completed at least one semester of schooling by the start of the program. Must be 18 years or older at the time the appointment begins. Must possess a cumulative GPA of 3.0 on a 4.0 scale. If accepting an offer, must ...
Directorate Overview. As a U.S. Department of Energy (DOE) National Laboratory, Argonne is committed to delivering substantive impacts to U.S. prosperity, competitiveness, and security through transformative science and technology from discovery to technology development to application. Argonne’s long-standing, world leading expertise in nuclear energy coupled with our unique, first-in-class capabilities in nonproliferation and infrastructure sci...
The Argonne Leadership Computing Facility’s (ALCF) mission is to accelerate major scientific discoveries and engineering breakthroughs for humanity by designing and providing world-leading computing facilities in partnership with the computational science community. We help researchers solve some of the world’s largest and most complex problems with our unique combination of supercomputing resources and computational science expertise. The ALCF h...
This student position will play a crucial role in supporting the planning and execution of the Intro to High-Performance Computing (HPC) Bootcamp, hosted by Argonne Leadership Computing Facility (ALCF) in August 2025. They will engage in all aspects of the bootcamp’s preparation, gaining a thorough understanding of event planning and HPC curriculum development. Primary responsibilities include reviewing and assessing the bootcamp curriculum, work...
NAMD is the most scalable molecular dynamics software in DOE leadership computing facilities. The current implementation of NAMD HIP/SYCL still has large space to improve functionalities to fulfill DOE advanced scientific computing research mission. The project proposes implementation of SYCL/HIP version alchemical free energy algorithm in NAMD. Alchemical free energy calculation has extensive applications in drug design and material design, and ...
The ANL Facilities Engineering Group would like to engage the services of a summer intern in the field of Mechanical Engineering. The intern would be required to be on site every day and would likely be involved in both office and field related work. The proposed activities that the intern will be engaged in include, but is not limited to, the following. Assist ANL Mechanical Engineer with sitewide survey, documentation, and categorization of Chi...
