High Performance Computing

Free Course
16 weeks duration

This course will give you solid foundations for developing, analyzing, and implementing parallel and locality-efficient algorithms. Offered at Georgia Tech as CS6220

The High Performance Computing course on Udacity covers a range of topics related to advanced computing techniques. The course begins with an introduction to the Work-Span or Dynamic Multithreading Model, followed by an overview of the basic algorithmic model. Students will also learn about the practical programming model OpenMP and comparison-based sorting algorithms. The course then delves into scans and linked list algorithms, tree algorithms, and graph algorithms such as breadth-first search. The second part of the course focuses on Distributed Memory or Network Models, including an introduction to the Message Passing Interface programming model and reasoning about network topology effects. Students will also explore dense linear algebra, sorting, sparse graph algorithms, and graph partitioning. The final part of the course covers Two-Level Memory or I/O Models, including basic models, efficiency metrics such as energy and power, I/O-aware algorithms, and cache-oblivious algorithms.

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Udacity is an online learning platform that offers a wide range of courses and programs in various fields such as technology, business, data science, and artificial intelligence. It was founded in 2012 by Sebastian Thrun, David Stavens, and Mike Sokolsky with the aim of providing accessible and affordable education to individuals worldwide. Udacity's courses are designed in collaboration with industry experts and leading companies, ensuring that the content is relevant and up-to-date. The platform offers both self-paced courses and guided programs, allowing learners to choose the learning style that suits them best. Udacity also provides career services and support, including resume reviews, interview preparation, and job placement assistance, to help learners transition into their desired careers.
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