Measuring Performance of Big Learning Workloads

Abstract

Measuring Performance of Big Learning Workloads.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2017
Accession Number
AD1088367

Entities

People

  • Scott McMillan

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Big Data
  • Computations
  • Copyrights
  • Department Of Defense
  • Governments
  • Guarantees
  • Learning
  • Machine Learning
  • Materials
  • Measurement
  • Networks
  • Operating Systems
  • Software Development
  • Universities
  • Workload

Fields of Study

  • Computer science