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Explore quantum walk algorithms with Jingbo Wang from the University of Western Australia, in a less than 1-hour presentation at IPAM, UCLA. Delve into efficient quantum circuit design and potential applications.
Dive into container technology on Perlmutter with Rahul Gayatri from Lawrence Berkeley Lab, in a short program by IPAM, UCLA.
Dive into Profiler Guided Optimization with Evan Weinberg of NVIDIA in this less than 1-hour material from IPAM, UCLA.
Learn GPU performance optimization with Stan Moore from Sandia National Laboratories in less than an hour, offered by IPAM.
Explore the state of neural network interatomic potentials with Justin Smith of NVIDIA in this under 1-hour material from the Institute for Pure & Applied Mathematics (IPAM).
Explore modern data-science and automation techniques for f-element separation science design with Ping Yang of Los Alamos National Laboratory, offered by IPAM at UCLA.
Learn to visualize and analyze HPC simulation data with VisIt in less than an hour, presented by Cyrus Harrison of Lawrence Livermore National Laboratory at IPAM, UCLA.
Learn to package scientific software with Conda-Forge in less than an hour with Jan Janssen of Los Alamos National Laboratory, offered by IPAM at UCLA.
Explore X-ray micro-tomography with Dula Parkinson from Lawrence Berkeley National Laboratory. Learn about 3D imaging of diverse samples and complex workflows at IPAM's workshop. Less than 1-hour workload.
Explore atomic-scale modeling using machine learning with Michele Ceriotti from EPFL, offered by IPAM at UCLA. Less than 1-hour material.
Explore automated multiscale modeling and chemical space with Nestor Aguirre from SCM Software for Chemistry & Materials, in a short lecture hosted by IPAM.
Explore high-dimensional data encoding in chemical systems with Aurora Clark from the University of Utah, in a workshop by IPAM. Less than 1-hour workload.
Explore the prediction of complex materials properties with Ralf Drautz's talk at IPAM, UCLA. Learn about machine learning potentials, atomistic simulations, and computational resources.
Explore the development of the open-source ESCALATE data management software with Joshua Schrier of Fordham University in this less than 1-hour material from IPAM at UCLA.
Explore high-throughput spectroscopy and material discovery with Claudia Draxl from Humboldt-Universität, in a workshop by IPAM. Learn to handle extreme-scale data with AI tools.
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