Collaborative Research: CyberTraining: Pilot: Research Workforce Development for Deep Learning Systems in Advanced GPU Cyberinfrastructure

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Data management plan for the grant, "Collaborative Research: CyberTraining: Pilot: Research Workforce Development for Deep Learning Systems in Advanced GPU Cyberinfrastructure." This project aims to develop a novel set of interactive training materials, including hands-on lecture modules, invited research talks from renowned researchers, and an interdisciplinary collaborative project in an intensive workshop, integrating a wide variety of advanced and inter-connected techniques employed by research workforce for deep learning (DL) systems in advanced GPU cyberinfrastructure (CI). Specifically, this project focuses on training seniors, graduate students, and researchers on how advanced GPU CI can be efficiently utilized and improved to enable high-performance … continued below

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Shu, Tong 2022-12-01/2024-11-30.

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This text is part of the collection entitled: UNT Funded Research Projects and was provided by the UNT College of Engineering to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 17 times. More information about this text can be viewed below.

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  • Shu, Tong Principal Investigator, University of North Texas

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UNT College of Engineering

The UNT College of Engineering strives to educate and train engineers and technologists who have the vision to recognize and solve the problems of society. The college comprises six degree-granting departments of instruction and research.

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Data management plan for the grant, "Collaborative Research: CyberTraining: Pilot: Research Workforce Development for Deep Learning Systems in Advanced GPU Cyberinfrastructure." This project aims to develop a novel set of interactive training materials, including hands-on lecture modules, invited research talks from renowned researchers, and an interdisciplinary collaborative project in an intensive workshop, integrating a wide variety of advanced and inter-connected techniques employed by research workforce for deep learning (DL) systems in advanced GPU cyberinfrastructure (CI). Specifically, this project focuses on training seniors, graduate students, and researchers on how advanced GPU CI can be efficiently utilized and improved to enable high-performance DL systems for data-intensive DL applications in geoscience (GS) and computer science and engineering (CSE) research. The goal is to foster future CI users and contributors to adopt, develop, and improve advanced GPU CI for DL systems in their research.

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  • Grant Number: 2306184
  • Grant Number: GFP0000380
  • Grant Number: GAWD000177
  • Archival Resource Key: ark:/67531/metadc2032124

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UNT Funded Research Projects

Records for grants awarded to researchers at the University of North Texas. These records establish unique identifiers that are publicly accessible for these research projects. In most cases, the data management plan for the project has been deposited with the item. Each record has a link to a full bibliography of the research output including data and publications.

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  • 2022-12-01/2024-11-30

Added to The UNT Digital Library

  • Jan. 9, 2023, 4:32 p.m.

Description Last Updated

  • Jan. 12, 2023, 2:58 p.m.

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Shu, Tong. Collaborative Research: CyberTraining: Pilot: Research Workforce Development for Deep Learning Systems in Advanced GPU Cyberinfrastructure, text, 2022-12-01/2024-11-30; (https://digital.library.unt.edu/ark:/67531/metadc2032124/: accessed February 27, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Engineering.

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