Parallel Programming: Fundamentals

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Related lectures (32)

Threads: Concurrency and Parallelism in Computer Systems

Covers the thread abstraction in computer systems, focusing on concurrency, parallelism, and the management of threads using the POSIX API.

Threads and Locks

Explores threads in programming, shared data challenges, locks, and thread management in graphical interfaces and web applications.

Concurrency Primitives and Pitfalls

Explores concurrency primitives, mutual exclusion, and synchronization pitfalls in operating systems, focusing on condition variables and semaphores.

Concurrency Overview

Explores the significance of concurrency in enhancing system performance and responsiveness, emphasizing the need for synchronization and atomicity to prevent race conditions and non-determinism.

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Lock-Free Synchronization: Practical Insights

Explores the significance of lock-free synchronization for achieving low latency in distributed systems and discusses practical solutions for unique identifier generation and messaging queues.

Concurrency: Volatile

Explores volatile variables in Java for concurrent programming and synchronization importance.

Atomic execution: Synchronization in threads

Covers atomic execution in threads, race conditions, shared variables, and synchronized blocks.

Concurrency: Deadlock

Covers the concept of deadlock in concurrent programming and provides solutions to prevent them.

Conc-Trees: Parallel Programming in Scala

Covers the implementation of Conc-Trees in Scala for parallel programming.

Parallel Computation: Tasks

Explores parallel computation using tasks for concurrent execution and demonstrates their implementation in practice.

Synchronization

Covers the principles of synchronization in parallel computing, focusing on shared memory synchronization and different methods like locks and barriers.

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