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Self-Adjusting Networks for Optimized Datacenter Topology Design

Offered By: Scalable Parallel Computing Lab, SPCL @ ETH Zurich via YouTube

Tags

Network Design Courses Graph Theory Courses Information Theory Courses Theoretical Computer Science Courses

Course Description

Overview

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Explore a 40-minute conference talk by Stefan Schmid on self-adjusting networks, presented at SPCL_Bcast on October 27, 2022. Delve into the challenges of modern datacenter topology designs, including static, dynamic demand-oblivious, and dynamic demand-aware switches. Discover the concept of self-adjusting networks that optimize and match their traffic workload. Learn about information-theoretic metrics for quantifying communication traffic structure and achievable performance in demand-matching datacenter networks. Examine network design principles, identify open research challenges, and understand how self-adjusting networks and demand-aware graphs relate to classic optimization problems in theoretical computer science. The talk begins with a brief speaker introduction, followed by the main presentation.

Syllabus

Speaker Introduction
Talk


Taught by

Scalable Parallel Computing Lab, SPCL @ ETH Zurich

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