After completing unit 5 you will have acquired a basic concept of performance optimization and parallelization like speedup, scalability, Amdahl’s and Gustafson’s laws, how to design parallel programs, domain decomposition, synchronization, etc.

• Understand Parallel Computing Architectures: Learners will be able to describe the classification of modern computing resources based on hardware-supported parallelism, including multi-core systems, multi-processor machines, clusters, and cloud infrastructures.
• Analyze Performance Optimization in Parallel Programming: Learners will be able to identify key performance considerations in parallel programming and explain how to optimize programs to effectively utilize available computing power.
• Apply Basic Parallel Programming Concepts
  will be able to write and analyze simple parallel programs using insights from the Livermore Computing Center tutorial and Mats Brorsson's lecture, focusing on performance optimization and resource utilization.