Covers the basics of parallel programming, including exploiting parallelism in algorithms and the importance of avoiding race conditions.
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.
Explores fold (reduce) operations in parallel programming using Scala, covering associative operations, expression trees, parallel reduction, and array reduction.
Covers the basics of parallelism, including physical examples, historical context, multicore era, and parallel collections in Scala.
Covers testing, benchmarking, performance factors, measurement methodologies, ScalaMeter, JVM warmup, and configuration in parallel programming.
