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: Learners 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.