Data Operations and Parallel Mapping

Related lectures (31)

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Covers the implementation of combiners in parallel programming in Scala, including efficient combine methods and set data structures.

Covers the representation of JSON data using case classes in Scala.

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

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

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

Explores Conc-Tree Combiners for parallel programming in Scala, covering buffer operations, chunk nodes, and combining methods.

Covers optimal purely functional priority queues, Scala implementation, Stainless integration, operations properties, and binomial queues.

Explores computing p-norm using parallel programming in Scala and its impact on performance.

Covers functional data structures and their relationships, implementations, and efficiency.

Explores lazy evaluation and lazy lists in Scala, emphasizing their benefits and implementation.