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Final for CPS 376 - Parallel Computing.

C++ 53.66% Python 46.34%
numpy numpy-arrays numpy-python open-mp parallel parallel-computing parallel-processing parallel-programming parallelism thread

parallelized-numpy-pybind11's Introduction

CPS 376 - Franklin and Marshall College

Our own parallelized NumPy library for CPS 376 - Parallel Computing using pybind11.

To compile worseNumPy.cpp use the following command:

c++ -O3 -Wall -shared -std=c++11 -fopenmp -fPIC $(python3 -m pybind11 --includes) WorseNumPy.cpp -o WorseNumPy$(python3-config --extension-suffix)
  • worseNumPy.cpp is our parallelized matrix library
  • matrixTiming.py and arrayTiming.py demonstrate the runtime of each method with different cores as well as the runtime of NumPy performing the same operations
  • worseNumPyDemonstration.py demonstrates how this library can be used.

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