Naw Safrin Sattar

Orcid: 0000-0002-6199-346X

According to our database1, Naw Safrin Sattar authored at least 19 papers between 2017 and 2026.

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Bibliography

2026
Integrating Multi-Agent Simulation, Behavioral Forensics, and Trust-Aware Machine Learning for Adaptive Insider Threat Detection.
CoRR, January, 2026

2025
EPIC: Generative AI Platform for Accelerating HPC Operational Data Analytics.
CoRR, September, 2025

DyG-DPCD: A Distributed Parallel Community Detection Algorithm for Large-Scale Dynamic Graphs.
Int. J. Parallel Program., February, 2025

DIMPLES: Distributed Influence Maximization for Pandemic pLanning on Exascale Systems.
Proceedings of the 39th ACM International Conference on Supercomputing, 2025

2024
Profiling and Modeling of Power Characteristics of Leadership-Scale HPC System Workloads.
CoRR, 2024

Establish the basis for Breadth-First Search on Frontier System: XBFS on AMD GPUs.
Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Navigating Exascale Operational Data Analytics: From Inundation to Insight.
Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

BCSR on GPU: A Way Forward Extreme-scale Graph Processing on Accelerator-enabled Frontier Supercomputer.
Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Exploring the Frontiers of Energy Efficiency using Power Management at System Scale.
Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Distributed Multi-GPU Community Detection on Exascale Computing Platforms.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Power Profile Monitoring and Tracking Evolution of System-Wide HPC Workloads.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Exploring the Landscape of Distributed Graph Clustering on Leadership Supercomputers.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
Exploring temporal community evolution: algorithmic approaches and parallel optimization for dynamic community detection.
Appl. Netw. Sci., December, 2023

2022
Scalable distributed Louvain algorithm for community detection in large graphs.
J. Supercomput., 2022

2020
Data Parallel Large Sparse Deep Neural Network on GPU.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

Community Detection using Semi-supervised Learning with Graph Convolutional Network on GPUs.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Detecting Web Spam in Webgraphs with Predictive Model Analysis.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Parallelizing Louvain Algorithm: Distributed Memory Challenges.
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

2017
Secured aerial photography using Homomorphic Encryption.
Proceedings of the International Conference on Networking, Systems and Security, 2017


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