Concurrency Basics: Threads and Synchronization

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GPU Memory Hierarchy: Optimization

Explores GPU memory hierarchy, CUDA processing flow, optimizations, and parallelism efficiency on GPUs.

Lock-Free Synchronization: Performance and Scalability

Explores lock-free synchronization for performance and scalability in distributed systems, covering unique identifier generation, messaging queues, and atomic RDMA reads.

GPU Advanced: Memory Management and Optimization

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

Locking Primitives: Avoiding Race Conditions in Threads

Covers locking primitives necessary to prevent race conditions in multithreaded programming, focusing on mutual exclusion and atomic operations.

Introduction to Concurrency

Covers the basics of concurrency, its importance, and how to write concurrent programs.

Principles of Parallel Computing: OpenMP

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

Readers-writer Lock

Introduces the readers-writer lock for handling concurrency in scenarios with frequent reads and occasional updates.

Parallel Computing: Principles and OpenMP

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

Principles of Parallelism

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

One place buffer: Producer-consumer queue

Introduces the concept of a one-place buffer in concurrent programming.