Youssef Elmougy

Publications. Education and Experience.

Klaus 2337 CRNCH Lab

266 Ferst Dr NW, Atlanta, GA 30332 USA

I am a Ph.D. student in Computer Science at the Georgia Institute of Technology advised by Dr. Vivek Sarkar in the Habanero Extreme Scale Software Laboratory. In addition, I am a research intern at the Lawrence Berkeley National Lab, working with several researchers in the Performance and Algorithms Research Lab (PAR). My main concentration is in Systems, High Performance Computing, and Deep Learning (AI/DL).

I received both my B.S. in Computer Science (concentration in Artificial Intelligence and Computer Modeling) in 2021 and my M.S. in Computer Science (concentration in High Performance Computing) in 2022 from Georgia Tech.

Recently, I’ve been working on distributed graph algorithms in the actor-based programming system, distributed training for deep learning workflows (DL), hybrid communication strategies for computation intensive applications, enabling resiliency in Asynchronous Many-Task (AMT) programming models, automatic termination graph detection, approximation algorithms, and graph-based blockchain transaction forecasting.

Research Interests

Distributed systems, deep learning / machine learning, parallel systems, High Performance Computing, GPU programming, communication models, cloud computing, and performance of applications in heterogeneous computing environments.

Selected Publications

  1. Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics
    Youssef Elmougy, Ling Liu
    ACM KDD Conference on Knowledge Discovery and Data Mining (KDD), 2023
  2. An Asynchronous Distributed Actor-based Approach to Jaccard Similarity for Genome Comparisons
    Youssef Elmougy, Akihiro Hayashi, Jun Shirako, Vivek Sarkar
    (under submission), 2023
  3. Highly Scalable Large-Scale Asynchronous Graph Processing using Actors
    Youssef Elmougy, Akihiro Hayashi, Vivek Sarkar
    IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID), 2023
  4. A Fine-grained Asynchronous Bulk Synchronous parallelism model for PGAS applications
    Sri Raj Paul, Akihiro Hayashi, Kun Chen, Youssef Elmougy, Vivek Sarkar
    Journal of Computational Science, 2023
  5. Diagnosing the interference on CPU-GPU Synchronization Caused by CPU Sharing in Multi-Tenant GPU Clouds
    Youssef Elmougy, Weiwei Jia, Xiaoning Ding, Jianchen Shan
    IEEE International Performance, Computing, and Communications Conference (IPCCC), 2021
  6. Anomaly Detection on Bitcoin, Ethereum Networks Using GPU-accelerated Machine Learning Methods
    Youssef Elmougy, Oliver Manzi
    IEEE International Conference on Computer Theory and Applications (ICCTA), 2021