AutoPas: Auto-Tuning for Particle Simulations
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8765855/8778198/08778280.pdf?arnumber=8778280
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. MD-Bench: A performance-focused prototyping harness for state-of-the-art short-range molecular dynamics algorithms;Future Generation Computer Systems;2023-12
2. Towards auto-tuning Multi-Site Molecular Dynamics simulations with AutoPas;Journal of Computational and Applied Mathematics;2023-12
3. MD-Bench: A Generic Proxy-App Toolbox for State-of-the-Art Molecular Dynamics Algorithms;Parallel Processing and Applied Mathematics;2023
4. Ion-Molecule Collision Cross-Section Simulation using Linked-cell and Trajectory Parallelization;2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD);2022-11
5. N ways to simulate short-range particle systems: Automated algorithm selection with the node-level library AutoPas;Computer Physics Communications;2022-04
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