Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Optimizing GPU Performance - Case Study Using Chain Benchmark in LAMMPS

Institute for Pure & Applied Mathematics (IPAM) via YouTube

Overview

Explore GPU performance optimization techniques through a case study using the Chain Benchmark in LAMMPS in this 44-minute conference talk presented by Stan Moore from Sandia National Laboratories. Delivered at the Institute for Pure & Applied Mathematics (IPAM) workshop on Co-design for the Exascale and IPAM Hackathon, this presentation delves into strategies for enhancing computational efficiency in molecular dynamics simulations. Gain insights into the challenges and solutions associated with optimizing GPU performance for complex scientific applications, specifically focusing on the LAMMPS software package and its Chain Benchmark. Discover how these optimization techniques can be applied to improve the performance of large-scale simulations in various scientific domains.

Syllabus

Stan Moore - Optimizing GPU Performance: Case Study Using Chain Benchmark in LAMMPS

Taught by

Institute for Pure & Applied Mathematics (IPAM)

Reviews

Start your review of Optimizing GPU Performance - Case Study Using Chain Benchmark in LAMMPS

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.