Research

This section describes research projects I’ve worked on which were made with the intent of being published or otherwise presented in some academic format.

Papers

• Exploration of LLM Workload Reliability based on di/dt Effects and Voltage Droops
  Zhixing Jiang, Justin Garrigus, Allison Seigler, Ethan Syed, Yan-Lun Huang, Mehdi Sadi, Tawfik Rahal-Arabi, Lizy Kurian John
  HPCA, 2026
  [link] [pdf]
• LiteNoC: Developing Low-Cost Network-on-Chips for Deep Neural Networks
  Khoa Ho, Siamak Biglari, Justin Garrigus, Hui Zhao, Saraju Mohanty
  GLSVLSI, 2025
  [link]
• Genomics-GPU: A Benchmark Suite for GPU-accelerated Genome Analysis
  Zhuren Liu, Shouzhe Zhang, Justin Garrigus, Hui Zhao
  ISPASS, 2023
  [link] [pdf] [code]

Theses

• Hardware and Software Optimizations for Deep Learning Workloads on Graphics Processing Units
  Justin Garrigus
  University of North Texas, 2024
  [pdf] [slides]
• Syntax as a Tool of Thought
  Justin Garrigus
  University of North Texas, 2022
  [pdf]

Posters

• Applying Transfer Learning to Defect Graph Neural Networks for Defect Formation Energy Predictions
  Thomas Bouchard, Angela Zhang, Justin Garrigus, Fatima Habis, Yuanxi Wang
  UNT Research Day, 2024
  [poster] [report] [code]
• GPU Implementation of Image Recognition Neural Network Architectures
  Justin Garrigus, Bora Bulut, Hui Zhao
  UNT 2022 REU, 2022
  [poster] [report] [code]

Service

• MICRO 2026 - Artifact Evaluator
• FPGA 2026 - Paper Reviewer
• HPCA 2026 - Paper Reviewer

This page last updated September 27, 2026