High Performance Scientific Computing with C 4.1: Parallel Architectures, Amdahl's Law, and Gustafson’s Law

The video introduces parallel computing, covering shared and distributed memory systems, and discusses the benefits and challenges of each. It explains how tasks are distributed across multiple cores and machines, and the importance of load balancing in distributed systems. The video also covers performance scaling laws, such as Amdahl's and Gustafson's laws, and their implications for parallel computing. Finally, it previews the next video, which will focus on shared memory parallelism using OpenMP.

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