Parallel Programming: Fundamentals

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Related lectures (32)

Page 1 of 4

Covers the basics of parallel programming, including concurrency, forms of parallelism, synchronization, and programming models like PThreads and OpenMP.

Monitors: Synchronization and Cooperation

Explores monitors as a synchronization construct providing mutual exclusion and cooperation among threads, with examples like the one-place buffer.

Concurrency with Futures

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

Actors: Evolution and Implementation

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

Parallel Programming in Scala: Computing p-norm

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

Principles of Parallelism

Covers the basics of parallelism, including physical examples, historical context, multicore era, and parallel collections in Scala.

Parallel Computing: Principles and OpenMP

Covers the principles of parallel computing and introduces OpenMP for creating concurrent code from serial code.

Memory Models: Visibility and Semantics

Explains the Java Memory Model and thread start semantics for concurrent programs.

Concurrency and Parallelism: Visibility

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

Concurrency Basics: Threads and Synchronization

Covers the basics of concurrency, focusing on threads and synchronization, including thread joining and challenges of non-deterministic execution.