An easy to use web application for running common C/C++ and Cuda algorithms (currently two supported) on UIC ACER servers in the form of a benchmark test. The C/C++ and Cuda results can then be compared against one another in a visually meaningful way.
This project was done as a research project during my Summer 2019 internship for ACER@UIC. It was found that for parallelizable tasks, Cuda accelerated code is exponentially more efficient than traditional computations completed on the main processor.
For more information, refer to the 'Usage' and 'How it Works' sections of the /Documentation.pdf found in this repository.
For detailed instructions, refer to the 'Installation/Setup' section of the /Documentation.pdf found in this repository.
- Java for application logic
- JavFX for graphical user interface
- JSch for SSH and 2FA support
- JPro for browser support
- Maven for browser deployment
- C++ for the benchmarks run on the processor
- Cuda for the benchmarks run on the graphics processor