Parallel Computing: Principles and OpenMP

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Data-Parallel Programming: Vector & SIMD Processors

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

GPU Advanced: Memory Management and Optimization

Explores advanced GPU memory management, CUDA programming, and data-parallel computing for optimizing performance.

Actors: Evolution and Implementation

Covers the evolution of Actors, challenges of modern CPUs, parallel programming risks, and synchronization tools in Scala.

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Data Operations and Parallel Mapping

Explores parallel programming in Scala, functional operations on collections, and parallel map functions on arrays and trees.

Transactional Memory: Two-phase Locking and Invisible Reads

Explores historical perspectives and mechanisms of transactional memory, emphasizing the importance and challenges of its implementation in modern computing systems.

Speculative Query Parallelization

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

Parallel Programming in Scala: Performance Analysis

Delves into the performance analysis of parallel programs in Scala, covering asymptotic analysis, recursive functions, and Amdahl's Law.

Concurrency and Parallelism: Visibility

Explores visibility in concurrency, memory models, shared memory, and hardware optimizations.

Concurrency with Futures

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