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About Lecture 1 - Introduction
This document provides an overview of the Content Parallel and Distributed Computing course. It will cover parallel computing topics such as interconnection networks, performance metrics, parallel algorithms design, and dense matrix algorithms. Distributed computing topics include time synchronization, distributed mutual exclusion, causal order, snapshot algorithms, and leader election. The goal is for students to understand parallel and distributed algorithms. The course will be held weekly and include lectures, labs, and assignments. Students will be evaluated based on lab work, an exam, and an optional assignment.
Detailed Information
| Author: | ['Andrei Bâcu'] |
|---|---|
| Publication Year: | 2012 |
| Pages: | 6 |
| Language: | English |
| Format: | |
| Price: | FREE |
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