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Related lectures (32)

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Understanding Simultaneous Multithreading in Modern Processors

Covers simultaneous multithreading, its implementation, and its impact on processor performance.

GPUs: Introduction to CUDA

Introduces the basics of GPUs, CUDA programming, and thread synchronization for parallel computing applications.

GPUs: Multithreading and Architecture

Explores GPUs' architecture, multithreading, and their role in machine learning, discussing limitations and future trends.

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.

Memory Consistency Models: Performance Impact and Parallel Computing

Covers memory consistency models, parallel computing, atomic subroutines, GPU architecture, and multithreading.

GPUs: Architecture and Programming

Explores GPUs' architecture, CUDA programming, image processing, and their significance in modern computing, emphasizing early start and correctness in GPU programming.

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.

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.

Threads in Python Programming

Covers Python basics, threading, shared data issues, and deadlock prevention.

Concurrency with Futures

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