Conc-Tree Combiners: Parallel Programming in Scala

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Covers testing, benchmarking, performance factors, measurement methodologies, ScalaMeter, JVM warmup, and configuration in parallel programming.

Explores data-parallel operations in Scala, converting collections, implementing sum, and examining fold operations.

Explores the principles of parallel computing, focusing on OpenMP as a tool for creating concurrent code from serial code.

Explores data-parallel programming with vector processors and SIMD, and introduces MapReduce, Pregel, and TensorFlow.

Explores specialized interpreted languages for LED displays, optimizing memory usage and controlling LED intensity and graphic sequences.

Explores futures as a structured approach to concurrency, simplifying parallel tasks and input-output operations.

Covers Advanced Multiprocessor Architecture, discussing course logistics, components, grading, and trends in modern computing systems.

Explores accelerating complex analytics through speculation, parallelizing queries, handling mispredictions, and transitioning to speculative plans.

Introduces LabVIEW programming, covering memory management, data types, and parallel programming concepts, with hands-on demonstrations.