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Large Scale Computing projects done at CMU, as a Data Science Master's student. Done on Bridges-2 Supercomputer at Pittsburgh Supercomputing Center.

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kkirpa/Large-Scale-Computing

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Large-Scale-Computing

Associated with Carnegie Mellon University (CMU) and Pittsburgh Supercomputing Center (PSC)

This Repository contains all the work I did for the Large Scale Computing course at CMU. For this course's assignments, we majorly dealt with large datasets and worked on Bridges-2 Supercomputer at PSC.

Languages and tools used: VSCode, Python (pandas, numpy, scikit-learn), SQL, PySpark, PyTorch, TensorFlow

Topics covered were:

  • Parallel Programming with Advanced MPI (Python)
  • SQL (basic and advanced)
  • Machine Learning with Spark
  • Recommender System
  • Big Data
  • Deep Learning

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Large Scale Computing projects done at CMU, as a Data Science Master's student. Done on Bridges-2 Supercomputer at Pittsburgh Supercomputing Center.

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