Skip to content
MathWorks - Mobile View
  • Melden Sie sich bei Ihrem MathWorks Konto anMelden Sie sich bei Ihrem MathWorks Konto an
  • Access your MathWorks Account
    • Eigener Account
    • Mein Community Profil
    • Lizenz zuordnen
    • Abmelden
  • Produkte
  • Lösungen
  • Forschung und Lehre
  • Support
  • Community
  • Veranstaltungen
  • MATLAB erhalten
MathWorks
  • Produkte
  • Lösungen
  • Forschung und Lehre
  • Support
  • Community
  • Veranstaltungen
  • MATLAB erhalten
  • Melden Sie sich bei Ihrem MathWorks Konto anMelden Sie sich bei Ihrem MathWorks Konto an
  • Access your MathWorks Account
    • Eigener Account
    • Mein Community Profil
    • Lizenz zuordnen
    • Abmelden

Videos und Webinare

  • MathWorks
  • Videos
  • Videos Homepage
  • Suche
  • Videos Homepage
  • Suche
  • Vertrieb kontaktieren
  • Testsoftware
26:09 Video length is 26:09.
  • Description
  • Related Resources

CAEML Research in Hardware Design and Optimization Using Machine Learning

Chris Cheng, Hewlett Packard Enterprise

The Center for Advanced Electronics through Machine Learning (CAEML) was established in 2016. Much of its research is starting to bear fruit in real-world applications. We will highlight two Hewlett Packard Enterprise applications that use CAEML research results.

The first is a 56G PAM channel optimization and training speed-up using principal component analysis (PCA) and polynomial chaotic expansion (PCE) surrogate models. A 56G PAM SerDes and a channel with varying loss is measured and machine learning techniques are used to accelerate the channel optimization process and correctly model the SerDes without using any simulations.

The second is a proactive hardware failure prediction method using machine learning techniques developed by CAEML. The method is currently being deployed in the field to proactively remove drives from the field to avoid potential performance degradation and data loss.

The presentation covers:

  • A brief introduction of CAEML
  • Unique applications of machine learning for hardware design that are different from typical CNN or LSTM neural network applications
  • Demonstration of a 56 PAM SerDes performance optimization using PCA and PCE surrogate models
  • Production application using proactive hardware failure prediction with casual inference to remove bad drives in the field
  • Future investigations of CAEML

CAEML researchers use MATLAB® and related toolboxes extensively throughout the application development process. For example, the standard MATLAB PCA package was used while custom MATLAB code was developed for the polynomial chaotic expansion surrogate models and the casual inference feature selection functions. The rich mathematical libraries allow rapid development of the prototype special functions.

Recorded: 6 Nov 2019

Related Products

  • Statistics and Machine Learning Toolbox
  • Global Optimization Toolbox

View slides
See all proceedings from MATLAB EXPO 2019 United States

Bridging Wireless Communications Design and Testing with MATLAB

Read white paper
Related Information
Related Information
Request Trial

Feedback

Featured Product

Statistics and Machine Learning Toolbox

  • Request Trial
  • Get Pricing

Up Next:

34:34
Machine Learning Made Easy

Related Videos:

5:36
Machine Learning for Predictive Modelling (Highlights)
44:37
Machine Learning for Predictive Modelling
41:25
Machine Learning with MATLAB
34:31
Machine Learning with MATLAB: Getting Started with...

View more related videos

MathWorks - Domain Selector

Select a Web Site

Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .

  • Switzerland (English)
  • Switzerland (Deutsch)
  • Switzerland (Français)
  • 中国 (简体中文)
  • 中国 (English)

You can also select a web site from the following list:

How to Get Best Site Performance

Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.

Americas

  • América Latina (Español)
  • Canada (English)
  • United States (English)

Europe

  • Belgium (English)
  • Denmark (English)
  • Deutschland (Deutsch)
  • España (Español)
  • Finland (English)
  • France (Français)
  • Ireland (English)
  • Italia (Italiano)
  • Luxembourg (English)
  • Netherlands (English)
  • Norway (English)
  • Österreich (Deutsch)
  • Portugal (English)
  • Sweden (English)
  • Switzerland
    • Deutsch
    • English
    • Français
  • United Kingdom (English)

Asia Pacific

  • Australia (English)
  • India (English)
  • New Zealand (English)
  • 中国
    • 简体中文Chinese
    • English
  • 日本Japanese (日本語)
  • 한국Korean (한국어)

Contact your local office

  • Vertrieb kontaktieren
  • Testsoftware

MathWorks

Accelerating the pace of engineering and science

MathWorks ist der führende Entwickler von Software für mathematische Berechnungen für Ingenieure und Wissenschaftler.

Entdecken Sie…

Produkte

  • MATLAB
  • Simulink
  • Software für Studierende
  • Hardware-Unterstützung
  • File Exchange

Testen oder Kaufen

  • Downloads
  • Testsoftware
  • Vertrieb kontaktieren
  • Preise und Lizenzierung
  • Store

Lernen

  • Dokumentation
  • Tutorials
  • Beispiele
  • Videos und Webinare
  • Schulungen

Support

  • Hilfe zur Installation
  • MATLAB Answers
  • Consulting
  • License Center
  • Support kontaktieren

Über MathWorks

  • Jobs & Karriere
  • Newsroom
  • Soziales Engagement
  • Berichte von Anwendern
  • Über MathWorks
  • Select a Web Site United States
  • Trust Center
  • Handelsmarken
  • Datenschutz
  • Datendiebstahl verhindern
  • Status von Anwendungen

© 1994-2022 The MathWorks, Inc.

  • Facebook
  • Twitter
  • Instagram
  • YouTube
  • LinkedIn
  • RSS

Folgen Sie uns