CyberTraining: Pilot: Fostering Computational Excellence (FOCEX): Addressing the Disconnect between Advanced CyberInfrastructure and Educational Preparedness

Information

  • NSF Award
  • 2320943
Owner
  • Award Id
    2320943
  • Award Effective Date
    9/1/2023 - 8 months ago
  • Award Expiration Date
    8/31/2025 - a year from now
  • Award Amount
    $ 300,000.00
  • Award Instrument
    Standard Grant

CyberTraining: Pilot: Fostering Computational Excellence (FOCEX): Addressing the Disconnect between Advanced CyberInfrastructure and Educational Preparedness

This project will develop training materials in the form of workshops and teaching kits for students and researchers in science, technology, mathematics, and engineering (STEM) to aid in translating computational research into modern high-end computing platforms. This project addresses the longstanding challenges researchers encounter when working with computing and data-intensive applications that rely on new computing accelerator hardware deployed in modern high-performance computing clusters. The training will focus on computational fluid dynamics (CFD) applications, i.e., predicting the flow around objects like an aircraft. Additionally, the training material will share many common elements with other disciplines and will be easily applicable to other fields besides CFD. The workshop will present general concepts and exemplary code and demonstrate its functionality in a real-world application. An archival and dissemination plan is included in the project, and advertising to a broad audience will be <br/>pursued.<br/><br/>This project will train a cohort of researchers and students to tackle challenging problems in fluid mechanics by employing state-of-the-art numerical techniques and efficiently utilizing modern heterogeneous computing architectures in advanced cyberinfrastructure (CI). This project has two major components; direct training and teaching facilitation. Direct training will be piloted as a 4-week-long summer school designed program for graduate and undergraduate students with a foundational understanding of CFD and programming. During this program, the participants will gain hands-on intensive training in research CFD pipelines, which include understanding numerical techniques, knowledge of the heterogeneous computing architectures available in advanced CI, and the programming skills needed to effectively utilize them, as well as machine learning and optimization. The training modules will be developed to prepare teaching kits to be distributed to instructors throughout the NSF ACCESS program. The aim is to facilitate the integration of these subjects in different coursework across the nation. The direct training pilot is expected to host students directly while teaching facilitation has the potential to scale up and benefit many more students.<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

  • Program Officer
    Sharmistha Bagchi-Senshabagch@nsf.gov7032928104
  • Min Amd Letter Date
    8/17/2023 - 9 months ago
  • Max Amd Letter Date
    8/17/2023 - 9 months ago
  • ARRA Amount

Institutions

  • Name
    University of Southern California
  • City
    LOS ANGELES
  • State
    CA
  • Country
    United States
  • Address
    3720 S FLOWER ST
  • Postal Code
    900894304
  • Phone Number
    2137407762

Investigators

  • First Name
    Assad
  • Last Name
    Oberai
  • Email Address
    aoberai@usc.edu
  • Start Date
    8/17/2023 12:00:00 AM
  • First Name
    Ivan
  • Last Name
    Bermejo-Moreno
  • Email Address
    bermejom@usc.edu
  • Start Date
    8/17/2023 12:00:00 AM
  • First Name
    Carlos
  • Last Name
    Pantano-Rubino
  • Email Address
    pantanor@usc.edu
  • Start Date
    8/17/2023 12:00:00 AM

Program Element

  • Text
    CyberTraining - Training-based

Program Reference

  • Text
    CI Training and Professionals
  • Text
    EDUCATION AND WORKFORCE
  • Code
    7361
  • Text
    CYBERINFRASTRUCTURE/SCIENCE
  • Code
    7569