Green Ubiquitous Autonomous Networking System (GUAN'S) Lab

We are a computer science research group at the Kent State University. Our aim is to design next-generation hybrid hetrogenous HPC-Cloud computing systems and workflow tools for current HPC, Big Data, and Deep Learning AI communities.

Our current research interests include:

  1. Fault tolerance design for HPC applications.
  2. HPC-cloud: workflow, monitoring, scheduling, and storage.
  3. Deep learning visualization: visual debugger.
  4. Big data analytics: tools and systems.
  5. Quantum computing: algrithms, compiler and system design.
  6. Nerualmprphic computing: algrithms, compiler and system design.

For more details please check Research

We are located at Department of Computer Science, Kent State University in Northern Ohio. We are closely collaborating with DoE national laboratories (Los Alamos National Laboratory, Pacific Northwestern National Laboratory, Argonne National Laboratory and Brookheaven National Laboratory), NSF sponsored data centers and industry companies.

We are always looking for passionate new PhD students, Master students and visiting scholars to join the team

We are grateful for funding from National Science Foundation, DoE Los Alamos National Laboratory, Amazon AWS and Google Cloud platform, computation resources from Chameleon Cloud, and donations from Xilinx

News

Jul 2022

Our OAC Core: Intepretable Resilience Analysis is funded by NSF! PI: Qiang Guan (Solo)

Jul 2022

Our PPoSS Planning Proposal on Probablistic Graph is funded by NSF

Jul 2022

Our PPoSS Planning Proposal on Quantum-Classic System Software Stack is funded by NSF

Jul 2022

Two papers are accepted by IEEE Quantum Week

Jun 2022

Our QuFi paper is accepted by DSN 2022!

Jun 2022

Our VACSEN paper is accepted by IEEE VIS 2022!

Jul 2021

Our Intercep Map paper is accepted by IEEE VIS 2021!

Apr 2021

Yuxin will join LANL as a summer intern and Betis will join TACC as a summer intern

Mar 2021

Betis's paper was selected as the Best of SELSE and will be presented in DSN 2021. Congratulations

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