GPUs: Introduction to CUDA

Related lectures (32)

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

By the instructor Mark Silberstein explores accelerator-centric OS architecture and the role of CPUs in modern computers.

Discusses GPU memory hierarchy and optimization strategies for efficient memory access and execution.

Covers the evolution and challenges of multiprocessors, emphasizing energy efficiency, parallel programming, cache coherence, and the role of GPUs.

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

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

Presents an algorithm to prevent starvation and maximize philosophers eating simultaneously.

Explores superscalar processors, dynamic branch prediction, nonblocking caches, and control speculation.

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

Explores superscalar processors and cache optimization for improved performance.