Acquisition of a High Performance Computing Instrument for Big Data Research and Education

Abstract

The objective of this proposal is to fund the purchase of an integrated high performance computing (HPC) instrument for big data researchand education at North Carolina Agricultural and Technical State University (NC A and T). This instrument will promote innovation and translational big data research at NC A and T. It will make NC A and T (a land grant HBCU) a strong player in big data research and education. The research groups involved in this proposal consist of PI Zhan from the Department of Computer Science and other key personnel from the Departments of Computer Science, Computer Systems Technology, and Electrical and Computer Engineering at NC A and T. They have been actively conducting research on big data analytics that require such an instrument for mass data processing and storage. The HPC instrument will be a critical asset for the research groups involving big data analysis and management. It will advance various big data research and educational projects at NC A and T. The instrument will have a significant and lasting broader impact on basic data science, provide new opportunities at NC A and T, and facilitate the advancement of outstanding next-generation faculty members working across the disciplines.

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Document Details

Document Type
Technical Report
Publication Date
Dec 03, 2015
Accession Number
AD1008585

Entities

People

  • Christopher C. Doss
  • Clay Gloster
  • Huiming Yu
  • Justin Zhan
  • Rajeev Agrawal

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Big Data
  • Computational Science
  • Computer Science
  • Computers
  • Data Analysis
  • Data Mining
  • Data Science
  • Education
  • Engineering
  • Field Programmable Gate Arrays
  • High Performance Computing
  • Information Science
  • Load Monitoring
  • Network Science
  • Numerical Analysis
  • Social Media
  • Students

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Research Science/Academic Research

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy