https://github.com/ahbarnett/floatingspeed
Floating-point/RAM benchmark in C vs C++ vs Fortran, including complex arithmetic
https://github.com/ahbarnett/floatingspeed
Last synced: 7 months ago
JSON representation
Floating-point/RAM benchmark in C vs C++ vs Fortran, including complex arithmetic
- Host: GitHub
- URL: https://github.com/ahbarnett/floatingspeed
- Owner: ahbarnett
- License: other
- Created: 2017-01-19T17:36:15.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2023-12-21T20:30:17.000Z (over 1 year ago)
- Last Synced: 2023-12-21T21:32:48.788Z (over 1 year ago)
- Language: C++
- Homepage:
- Size: 347 KB
- Stars: 5
- Watchers: 3
- Forks: 5
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# floatingspeed
Various tests of numerical performance, comparing languages, compilers, flags, etc.
Alex Barnett 2016--2020
Contributions by:
Jeremy Magland
Libin Lu
## Contents
* ``arraysinglethread``: compare C/C++/Fortran speeds for complex and real double-precision arithmetic, on a 1D array.
* ``lap3dkernel``: compare various languages speed in a multithreaded implementation of direct summation of the 1/r kernel.
## Open in a containerized development environment using vscode
You can use [Visual Studio Code](https://code.visualstudio.com/) to open a containerized development environment. This creates a Docker container with all of the compilers and tools pre-installed, including Fortran, Python, Octave, g++, and Julia. You can then run the tests and seamlessly edit the code all within this environment, and the source files are automatically sync'd with the host environment.
Note: MATLAB is not installed within the development container.
### Prerequisites
* [Docker](https://docs.docker.com/install/)
* [Visual Studio Code](https://code.visualstudio.com/)
### Instructions
```bash
# Clone this repo
git clone [repo-url] floatingspeed
cd floatingspeed
# Open in Visual Studio Code
code .
```
Install the [Remote-Containers vscode extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers) (if not already installed)
In the lower-left corner of the vscode window you should see a little green icon. Click that and select "Reopen in Container"
Now the container will be built on your system (may take several minutes). And then your project will appear -- inside the development environment container.
If you are curious, the Docker recipe for installing all the compilers can be found at [.devcontainer/Dockerfile](.devcontainer/Dockerfile)
You can now either run the tests from the built-in vscode terminal, or you can run them using the built-in tasks for this project.
To run a task, launch the vscode command menu (Ctrl+Shift+P) and search for "Run Task" and press enter. Then select one of the two tasks that appear (e.g., "Run arraysinglethread test") and press enter. Then enter again to continue. A new vscode terminal will open and run your test.
If you are curious, the tasks are configured at [.vscode/tasks.json](.vscode/tasks.json).