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Parallel Programming in Scala: Performance Analysis
This lecture explores the performance analysis of parallel programs in Scala, focusing on empirical measurement and asymptotic analysis to estimate computation time. It covers the asymptotic analysis of sequential running time, recursive functions with unbounded parallelism, and the implications of Amdahl's Law on parallelism. The instructor discusses the concepts of work and depth in parallel code, rules for depth and work calculations, and computing time bounds for given parallelism, providing insights into the behavior of parallel programs with varying levels of parallel threads.