CPU and GPU Performance of the Batched Code - QMCPACK Workshop 2023
Offered By: QMCPACK via YouTube
Course Description
Overview
Explore the CPU and GPU performance of batched code in this 47-minute conference talk presented by Ye Luo from Argonne National Laboratory at the QMCPACK Workshop 2023. Gain insights into the latest developments and optimizations in quantum Monte Carlo simulations, focusing on the computational efficiency of batched algorithms across different hardware architectures. Delve into the performance analysis, benchmarking results, and potential improvements for QMCPACK's implementation on both CPUs and GPUs. Learn about the challenges and solutions in scaling quantum Monte Carlo calculations for high-performance computing environments.
Syllabus
CPU and GPU performance of the batched code, Ye Luo, QMCPACK Workshop 2023, 7/18
Taught by
QMCPACK
Related Courses
The Finite Element Method for Problems in PhysicsUniversity of Michigan via Coursera Computational Physics
Indian Institute of Science Education and Research, Pune via Swayam Manipulate Coulomb's Law Concepts using Wolfram notebook
Coursera Project Network via Coursera Lagrangian Coherent Structures in Unsteady Fluids with Finite Time Lyapunov Exponents
Steve Brunton via YouTube Changing Physics Education with Julia
The Julia Programming Language via YouTube