A scientific library as an alternative for root
I plan to imiplement high performance computing to help improve scientific compyting. In my year of working in a lab I was stuck with matlab and I just wasn't impressed. I haven't worked a lot with root but I personally felt the project was kind of a mess
I plan to release this under the MIT License
I plan to move this project to my xOS-linux project as I plan to implement a scientific derivative.
Requirements:
- glibc - I plan to implement some getopt stuff
- gcc 5+ (Cuda support requires a gcc5 compiler)
- python
- golang
Features:
- Cuda 8+
- C
- cudaOS (A psuedo operating system for running multiple science applications etc)
Potential features:
- OpenCL
- python
- go
- C++
What would be helpful:
- I am only working on frakenstien laptop that has a nvidia card. If others could test this or help my projects in general and donate so that I can invest in a personal workstation that is capable of managing all my projects :)