Lecture
This lecture covers the basics of multithreading, including the reasons for using multiple threads, how to design them, and their performance impact. It explores the optimization of access patterns for GPUs and CUDA programming, focusing on parallelizing and optimizing algorithms. The lecture delves into the concepts of pipeline bubbles, structural hazards, and the trade-offs involved in multithreading. It discusses the implementation of coarse-grained and fine-grained multithreading, as well as simultaneous multithreading. The lecture concludes with an overview of multithreading in GPUs, resource allocation, and the importance of maintaining high pipeline utilization.