Organizers
Workshop Chairs
Pete Mendygral (Hewlett Packard Enterprise)
Pete Mendygral is a Distinguished Technologist in the HPC&AI organization at HPE where he works on distributed runtimes and other technologies focused on productivity and efficiency for complex workflows. He is the technical lead and architect for the DragonHPC project and is passionate about helping researchers and communities succeed. Pete received a PhD in astrophysics from the University of Minnesota in 2011, where he developed HPC applications to study outflows from supermassive blackholes.
Sunita Chandrasekaran (University of Delaware)
Sunita Chandrasekaran is an Associate Professor with the Department of Computer and Information Sciences and co-directs the AI center of Excellence at the University of Delaware, USA. Her research spans HPC, compilers, exascale computing, benchmarking, machine learning and AI. Her research is also heavily interdisciplinary spanning plasma physics, biophysics, solar physics and bioinformatics. She received her Ph.D. on Tools and Algorithms for High-Level Algorithm Mapping to FPGAs from Nanyang Technological University, Singapore. She is a recipient of the 2016 IEEE-CS TCHPC Award for Excellence for Early Career Researchers in High Performance Computing. She has held various leadership positions in HPC conferences and workshops over the past several years.
Sam Foreman (Argonne National Labs)
Sam Foreman is a computational scientist with a background in high energy physics at the ALCF. He is generally interested in the application of machine learning to computational problems in physics, particularly within the context of high performance computing. Sam’s current research focuses on using deep generative modeling to help build better sampling algorithms for simulations in lattice gauge theory.
Daniel Margala (National Energy Research Scientific Computing Center)
Daniel Margala is a Scientific Data Architect in the Programming Environments and Models group at NERSC. Previously, he was a NERSC Exascale Science Application Program (NESAP) postdoctoral fellow at Lawrence Berkeley National Laboratory working with the Dark Energy Spectroscopic Instrument (DESI) data processing team, focusing on high performance computing with GPUs using Python. Daniel has a PhD in Physics from the University of California, Irvine and a BS in Physics from the University of California, Los Angeles.
Davin Potts (Appliomics)
Davin Potts currently runs Appliomics, LLC, a scientific software consultancy based in Austin. Davin’s formal education is in Theoretical Chemistry but professional development led to his becoming a CPython Core Committer. He was previously a founder of Myria, a Y Combinator funded luxury services marketplace startup, co-founder of KNIME, a Zurich-based data mining and visualization startup, Chief Data Scientist at Continuum Analytics, an Austin-based Python language solutions startup, and Chief Science Officer at Stipple, a San Francisco-based image monetization startup. Davin holds 3 patents in the fields of bioinformatics, computer vision, machine learning, and edge computing.
Andy Terrel (NVIDIA)
Andy Terrel leads NVIDIA CUDA Python from the product management team. His research focused on domain-specific languages to generate high-performance code for physics simulations with the PETSc and FEniCS projects. Andy is a leader in the Python open-source software community. He’s most notably a co-creator of the Dask distributed computing framework, the Conda package manager, the SymPy symbolic computing library, and NumFOCUS foundation.
Technical Program Committee
Coming soon