Upon successful completion of this course, students will be able to: 1. define the terminology and common ideas of distributed computing. 2. explain fundamental ...
parallel computing syllabus
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The course covers fundamentals of parallel computing, including principles of parallel decomposition, processes communication and coordination, architecture, ...
We will look at parallel computing, including multi-core CPUs and GPUs and concurrent programming. We will look at interactions between hardware and software, ...
RATIONALE: Principles and concepts of distributed systems underpin development of real-world applications. Students will get a deeper understanding of these.
Current Catalog Description: This course will cover various distributed system topics from fundamental concepts and principles to some advanced topics.
In this class, we will survey some important methods and concepts in distributed computing, including logical clocks, ... Tentative syllabus: Date. Topic. Reading.
This course is intended to teach the fundamentals of parallel programming for scien- tific and engineering applications. It includes the study of general ...
In this course, we will first introduce the basics of distributed computing, including distributed architectures, processes and threads, communication, naming, ...
Topics will in- clude a brief introduction to networking, approaches to distributed consistency and storage, handling of big data, and distributed peer-to-peer ...
1. Introduction to distributed systems and cloud computing. Cloud architectures: SaaS, PaaS,. IaaS. End-to-end system design. Networks and protocol stacks.
This course examines an important trend in high-performance computing, the use of special-purpose hardware originally designed for graphics and games to solve ...
