Visiting Student - LCF - Homola, Jakub - 2.12.26.

Argonne National Laboratory • Lemont, IL

8d

About The Position

This project focuses on adapting and optimizing domain decomposition solvers specifically for the Aurora supercomputer architecture. Leveraging the student's expertise in SYCL and finite element tearing and interconnect (FETI) methods, the work will target the performance characteristics of Intel GPUs. The student will profile existing solver bottlenecks and implement optimizations such as tuning memory access patterns to maximize High Bandwidth Memory (HBM) utilization and exploiting multi-tile parallelism within Aurora's nodes. The ultimate goal is to demonstrate efficient strong scaling of the solver on the Aurora supercomputer at ALCF.

Requirements

• The entirety of the appointment must be conducted within the United States.
• Must be 18 years or older at the time the appointment begins.
• Applicants must be: Currently enrolled in undergraduate or graduate studies at an accredited institution. Graduated from an accredited institution within the past 3 months; or Actively enrolled in a graduate program at an accredited institution.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed