Parallel And Distributed Computing Course
Parallel and distributed computing is a field of computer science that focuses on the design and implementation of systems of hardware and software components which operate across multiple nodes. This computational architecture allows for data to be distributed across multiple processors which can work together in a coordinated fashion to solve problems faster than would be possible with only a single node. The Parallel and Distributed Computing course is designed to provide students with an in-depth understanding of the principles and technologies used to build large-scale parallel and distributed systems. The course topics will cover basic principles of parallelism, parallel programming techniques, distributed system architectures, communication technologies, data-intensive computing and applications, fault-tolerance, synchronization, distributed algorithms, and performance tuning. The course is intended for computer science and engineering majors, although it is also recommended for any student interested in distributed systems, networking, and other aspects of computer architecture and programming. Students should have an understanding of basic concepts related to computer architecture, operating systems, and networks, as well as basic programming skills. Upon completion of this course, students will be able to analyze, design, and implement parallel and distributed systems. They will also be able to evaluate and optimize their performance in the context of specific applications.
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