Jan's OpenCL FDTD electromagnetic simulation in 3 dimensions

選択できるのは25トピックまでです。トピックは、先頭が英数字で、英数字とダッシュ('-')を使用した35文字以内のものにしてください。

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jan 582dafbc2f Update example with bloch fields		5年前
opencl_fdtd	Update parameter descriptions	5年前
.gitignore	gitignore changes	8年前
LICENSE.md	Use markdown for license	8年前
README.md	move code to new location	6年前
fdtd.py	Update example with bloch fields	5年前
pcgen.py	Fix triangular lattice code in pgcgen	8年前
requirements.txt	move code to new location	6年前
setup.py	Use readme as long_description	6年前

opencl_fdtd

opencl_fdtd is a python application for running 3D time-domain electromagnetic simulations on parallel compute hardware (mainly GPUs).

Performance highly depends on what hardware you have available:

A 395x345x73 cell simulation (~10 million points, 8-cell absorbing boundaries) runs at around 91 iterations/sec. on my AMD RX480.
On an Nvidia GTX 580, it runs at 66 iterations/sec
On my laptop (Nvidia 940M) the same simulation achieves ~12 iterations/sec.
An L3 photonic crystal cavity ringdown simulation (1550nm source, 40nm discretization, 8000 steps) takes about 3 minutes on my laptop.

Capabilities are currently pretty minimal:

Absorbing boundaries (CPML)
Perfect electrical conductors (PECs; to use set epsilon to inf)
Anisotropic media (eps_xx, eps_yy, eps_zz, mu_xx, ...)
Direct access to fields (eg., you can trivially add a soft or hard current source with just sim.E[ind] += sin(f0 * t), or save any portion of a field to a file)

Installation

Requirements:

Optional (used for examples):

To get the code, just clone this repository:

git clone https://mpxd.net/code/jan/opencl_fdtd.git

You can install the requirements and their dependencies easily with

pip install -r requirements.txt

The root directory contains fdtd.py, which sets up and runs a sample simulation (cavity ringdown).

python3 fdtd.py