Semester 8

SPPU Computer Engineering 2019 Pattern Final Year-Sem 2 Lab Assignments. (If this repo helped you, do star it! :)

HPC Practicals

Note for Windows Users: Make sure MinGW is installed with pthreads.

For running openmp programs run commands:-

Compile: g++ path/to/file/file_name.cpp -fopenmp

Execute: ./a.out [Linux] or ./a.exe [Windows]

Steps to run CUDA programs on Google Collab:

1. Go to Google Collab
2. Create a new Notebook(.ipynb file).
3. Click on Runtime and change runtime type to GPU.
4. Now run !pip install git+https://github.com/afnan47/cuda.git in a cell.
5. On a new cell run %load_ext nvcc_plugin
6. Test the following code

%%cu
#include <iostream>
int main(){
  std::cout << "Hello World\n";
  return 0;
}

7. Remember to add %%cu before writing the C++ code for every CUDA program. CUDA is now set.

Still getting errors? Click here for detailed steps

BI Practicals

YouTube Playlist

Miniprojects

HPC

Data Science Hons

Rest of the subject projects are within this repo itself