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Follow the Data: Memory-Centric Designs for Modern Datacenters

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

Tags

Computer Architecture Courses Cloud Computing Courses Quantitative Analysis Courses Memory Disaggregation Courses

Course Description

Overview

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Explore data-driven approaches for memory architecture design in modern datacenters through this insightful conference talk. Delve into the critical role of memory in system performance and cost, challenging traditional decision-making methods in computer architecture. Examine two system-level memory problems: Exascale supercomputing and Cloud memory disaggregation. Learn how quantitative and analytical approaches can guide memory architecture decisions, moving beyond "rules of thumb" and "zeitgeist." The talk, presented by Dan Ernst at the SPCL_Bcast event, includes an introduction, main presentation, brief announcement, and an engaging Q&A session, offering a comprehensive look at memory-centric designs for cutting-edge datacenter technologies.

Syllabus

Introduction
Talk
Announcement
Q&A Session


Taught by

Scalable Parallel Computing Lab, SPCL @ ETH Zurich

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