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About S R T S: OME Esearch Opics For Tudents
This document provides an overview of potential research topics in parallel and distributed computing that a student could pursue. Some key areas mentioned include: - Designing parallel algorithms for problems like graph analysis, machine learning, and computational science. - Studying abstract models of parallelism using many small processors or agents cooperating locally. - Developing energy-efficient parallel algorithms for applications like sensor networks. - Using randomized algorithms to solve problems on graphs and geometric structures in parallel. - Applying machine learning techniques like neural networks and genetic algorithms in parallel settings. - Analyzing performance of parallel systems and developing mathematical models of parallel processes.
Detailed Information
| Author: | ['for_books'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 3 |
| Language: | English |
| Format: | |
| Price: | FREE |
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