Argonne maintains a wide-ranging science and technology portfolio that seeks to address complex challenges in interdisciplinary and innovative ways. Below is a list of all articles, highlights, profiles, projects, and organizations related specifically to performance engineering.
An extensive collaboration led by Argonne recently won the Inaugural SCinet Technology Challenge at the Supercomputing 19 conference by demonstrating real-time analysis of light source data from Argonne’s APS to the ALCF.
Computational scientist with over 10 years’ experience designing, developing, and optimizing scientific software (chemistry, climate, material science) for high-performance computing platforms. Five of those years as a group leader in ALCF.
James specializes in quantum field theory and lattice simulation methods, with an emphasis on lattice QCD. He also has interests in quantum computing, HPC, sparse linear algebra, applying ML methods to Hybrid Monte Carlo, and random matrix theory.