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Introduces parallel scan left in Scala, covering its properties, sequential solutions, and efficient parallel computation techniques.
Covers the basics of parallel programming, including exploiting parallelism in algorithms and the importance of avoiding race conditions.
Covers the evolution of computer science, from Moore's Law to multicores, research on parallelizing Lisp code, experiences at UC Berkeley and Microsoft Research, and insights on cloud computing and faculty management.
Explores parallel computation using tasks for concurrent execution and demonstrates their implementation in practice.
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.
Explores futures as a structured approach to concurrency, simplifying parallel tasks and input-output operations.
