Covers the basics of parallelism, including physical examples, historical context, multicore era, and parallel collections in Scala.
Explores accelerating complex analytics through speculation, parallelizing queries, handling mispredictions, and transitioning to speculative plans.
Covers the basics of parallel programming, including concurrency, forms of parallelism, synchronization, and programming models like PThreads and OpenMP.
Introduces parallel scan left in Scala, covering its properties, sequential solutions, and efficient parallel computation techniques.
