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General Information

Full Name Ahmad Hossein Yazdani

Education

  • 2020 - Present
    PhD, Computer Science
    Virginia Polytechnic Institute and State University (Virginia Tech)
    • Advised by Dr Ali Butt, a professor at Virginia Tech, leading Distributed Systems and Storage Lab at Virginia Tech
  • 2015 - 2020
    Bachelor of Computer Software Engineering
    University of Tehran, Iran

Notable Experiences

  • 2020 - Present
    Research Assistant at Distributed System and Storage Lab at Virginia Tech
    Virginia Tech
    • Contributing to Metis project ongoing which is about improving the cachability of the deep learning workloads
    • Leading a collaborative research with Analytics & AI Methods at Scale Group at Oak Ridge National Laboratory (ORNL) on analytically recognizing the behavior of the users and jobs submitted to HPC systems to improve the I/O efficiency of the HPC systems. We have recently started collaborating with Suren Byna and Jean Luca Bez from Lawrence Berkeley National Laboratory (LBNL). The work has been kicked off since the time I interned at ORNL in summer 2021
    • Leading a collaborative research with Analytics & AI Methods at Scale Group at Oak Ridge National Laboratory (ORNL) and Lawrence Berkeley National Laboratory aiming to address the I/O interference between the training/inference jobs for large AI models in HPC in collaboration with Jean Luca Bez, Ahmad Maroof Karimi, Arnab Kumar Paul, Suren Byna and Feiyi Wang
  • 2023
    Student Assistant at Lawrence Berkeley National Laboratory (LBNL), internship
    Lawrence Berkeley National Laboratory (LBNL)
    • Pursuing my research on I/O variance characterization in HPC systems under supervision of Suren Byna and Jean Luca Bez.
  • 2022 - 2023
    Instructor
    Virginia Tech
    • Teaching CS3214, Computer Systems, at Virginia Tech in Fall 2022 and Spring 2023
  • 2021
    Internship at Oak Ridge National Laboratory, Analytics & AI Methods at Scale Group.
    Oak Ridge National Laboratory
    • Supervised by Feiyi Wang, Sarp Oral, Ahmad Maroof Karimi and Arnab Kamur Paul
    • First studied the literature on I/O characterization at application level to get insights for building an application and user aware I/O scheduler
    • Then collected I/O information of different users and different applications, and showed the user’s behaviour affects the I/O performance quite a lot
    • And finally, presented my work at Internship Symposium held for the interns joined the national lab in summer 2021

Honors and Awards

  • 2022
    • Being appointed as the student volunteer for SC22 hosted in Dallas, TX, US
  • 2023
    • Being appointed as the student volunteer for SC23 hosted in Denver, CO, US
  • 2024
    • Was awarded travel support by USENIX for USENIX FAST'24 conference in Santa Clara, CA, US