Login to filter by course Login to filter by course Reset
Covers the basics of parallel programming, including concurrency, forms of parallelism, synchronization, and programming models like PThreads and OpenMP.
Covers the basics of parallelism, including physical examples, historical context, multicore era, and parallel collections in Scala.
Covers the basics of parallel programming, including exploiting parallelism in algorithms and the importance of avoiding race conditions.
Explores fold (reduce) operations in parallel programming using Scala, covering associative operations, expression trees, parallel reduction, and array reduction.
Covers testing, benchmarking, performance factors, measurement methodologies, ScalaMeter, JVM warmup, and configuration in parallel programming.
Explores accelerating complex analytics through speculation, parallelizing queries, handling mispredictions, and transitioning to speculative plans.
