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 Duration 21 hours

Course Outline

Introduction to Big Data Programming with R (pbdR)

  • Configuring your environment to work with pbdR
  • Understanding the scope and available tools in pbdR
  • Identifying packages frequently paired with pbdR for Big Data tasks

Message Passing Interface (MPI)

  • Implementing pbdR MPI 5
  • Executing parallel processing
  • Managing point-to-point communication
  • Transmitting Matrices
  • Performing Matrix Summation
  • Handling collective communication
  • Summing Matrices using Reduce
  • Applying Scatter and Gather operations
  • Other MPI communication techniques

Distributed Matrices

  • Generating a distributed diagonal matrix
  • Computing the SVD of a distributed matrix
  • Constructing a distributed matrix in parallel

Statistical Applications

  • Monte Carlo Integration
  • Ingesting Datasets
  • Loading data across all processes
  • Broadcasting data from a single process
  • Reading partitioned data
  • Conducting Distributed Regression
  • Performing Distributed Bootstrap

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