Published July 18, 2022
| Version v1
Poster
Open
Collaborative Research: Elements: SciMem: Enabling High Performance Multi-Scale Simulation on Big Memory Platforms
Creators
- 1. Clemson University
- 2. University of California-Merced
Description
This is the poster and lightning talk slide for 2022 CSSI PI Meeting. The goal of this project is to create a capability and a software package (named SciMem) that will enable high performance multi-scale simulation on big memory platforms. By designing SciMem as a library, we expect to bring a significant performance improvement for certain larger-scale multi-scale simulations widely applied in the fields of computational chemistry, fluid physics and material science, i.e., quantum mechanical/molecular mechanical-based molecular dynamics (MD) simulations.
Notes
Files
Lightning_Talk_Slide_ZhenLi.pdf
Files
(2.8 MB)
Name | Size | Download all |
---|---|---|
md5:0032c0097d4c4424cdcc7e74e408e41d
|
727.6 kB | Preview Download |
md5:6da225970239b99f7a570920695acab8
|
2.1 MB | Preview Download |
Additional details
References
- Deng, Tushar, Bravo, Ghoshal, Karniadakis and Li, Theory and simulation of electrokinetic fluctuations in electrolyte solutions at the mesoscale. J. Fluid Mech., 2022. 942: A29.
- Xie, Dong, Liu, Peng, Ma and Li, MD-HM: memoization-based molecular dynamics simulations on big memory system, Proc. Int. Conf. Supercomput., 2021, Pages 215-226.