Covers the basics of parallelism, including physical examples, historical context, multicore era, and parallel collections in Scala.
Covers the implementation of combiners in parallel programming in Scala, including efficient combine methods and set data structures.
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.
Covers optimal purely functional priority queues, Scala implementation, Stainless integration, operations properties, and binomial queues.
Explores fold (reduce) operations in parallel programming using Scala, covering associative operations, expression trees, parallel reduction, and array reduction.
Explores accelerating complex analytics through speculation, parallelizing queries, handling mispredictions, and transitioning to speculative plans.
Covers the basics of parallel programming, including exploiting parallelism in algorithms and the importance of avoiding race conditions.
