https://github.com/chiang-yuan/culsm-cpu
Science Score: 49.0%
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Repository
Basic Info
- Host: GitHub
- Owner: chiang-yuan
- License: gpl-2.0
- Language: C++
- Default Branch: master
- Size: 2.91 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
CuLSM-CPU
:warning::warning::warning: This is the cpu version of CuLSM without CUDA supported parallism :warning::warning::warning:
For GPU-accelerated lattice spring model simulation, please refer to the original repository CuLSM.
Cuda-accelerated lattice spring model (CuLSM) is the CUDA C++ code implementing GPU parallelization on particle and spring lists. The code is associated with the paper "ImageMech: From Image to Particle Spring Network for Mechanical Characterization" published in Frontiers in Materials.
If you happen to use this code in your work, please cite:
Chiang Y, Chiu T-W and Chang S-W (2022) ImageMech: From Image to Particle Spring Network for Mechanical Characterization. Front. Mater. 8:803875. doi: 10.3389/fmats.2021.803875
Instead of spatial decomposition as used in LAMMPS, CuLSM applies parallization to atom and bond lists and therefore secures remarkable speedup for large-scale lattice spring model simulations.
Prerequisites
- GPU compute capabtility > 6.x for 64-bit floating point operation
- CUDA Toolkit >= 10.1 recommended
Build
To buld culsm on your device, GPU architecture must be specified at the time of compilation. In Makefile, make sure the NVFLAGS fit your device.
shell
NVFLAGS = -O3 -I$(CUDIR)/include -m64 -arch=compute_75 -code=sm_75 -Xptxas -v -rdc=true
The GPU architecture (e.g. Kepler, Turing, etc.) may be found here, and the cooresponding CUDA naming scheme can be found in Nvidia GPU Feature List.
To compile the code, simply execute make in the terminal.
shell
make
Usage
shell
./culsm-cpu < [input] > [output] &
Example Command Script
```
read lammps data file
read_data
set particle mass by type
mass
set spring type and coefficients
bond
displace certain type of particles every timestep
fix
save particle trajectory every N timesteps to file
dump
output thermodynamic observables every N timesteps
thermo
verlocity Verlet integration for N timesteps of dt seconds
run
Owner
- Name: Yuan Chiang
- Login: chiang-yuan
- Kind: user
- Location: Berkeley
- Company: UC Berkeley
- Website: https://chiang-yuan.github.io
- Twitter: cyrusyc_tw
- Repositories: 2
- Profile: https://github.com/chiang-yuan
GitHub Events
Total
Last Year
Committers
Last synced: 8 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Yuan Chiang | q****t@g****m | 10 |
| Yuan Chiang | 4****n | 4 |
| Yuan Chiang | 4****n | 1 |
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Last synced: 8 months ago
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