Month 22: Distributed Systems and Parallel Computing

Month 22: Distributed Systems and Parallel Computing

Week 1: Introduction to Distributed Systems

  • Overview of Distributed Systems
  • Distributed System Architecture
  • Distributed System Models (Client-Server, Peer-to-Peer, etc.)

Week 2: Distributed Computing Platforms and Frameworks

  • Overview of Distributed Computing Platforms and Frameworks (Hadoop, Spark, Flink, etc.)
  • MapReduce Programming Model
  • Data Parallelism and Task Parallelism
  • Spark Programming with RDDs and DataFrames

Week 3: Parallel Computing Models and Techniques

  • Overview of Parallel Computing
  • Shared Memory Model
  • Distributed Memory Model
  • CUDA Programming for GPUs

Week 4: Applications and Future Directions of Distributed Systems and Parallel Computing

  • Distributed Computing Applications (Data Science, Machine Learning, Big Data, etc.)
  • Future Directions of Distributed Systems and Parallel Computing (Distributed Deep Learning, Edge Computing, etc.)