S. M. Arifuzzaman
Orcid: 0000-0002-6893-2475
According to our database1,
S. M. Arifuzzaman
authored at least 32 papers
between 2010 and 2025.
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Bibliography
2025
DyG-DPCD: A Distributed Parallel Community Detection Algorithm for Large-Scale Dynamic Graphs.
Int. J. Parallel Program., February, 2025
2024
Soc. Netw. Anal. Min., December, 2024
Unlocking the Potential: Performance Portability of Graph Algorithms on Kokkos Framework.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
2023
Exploring temporal community evolution: algorithmic approaches and parallel optimization for dynamic community detection.
Appl. Netw. Sci., December, 2023
Fast Community Detection in Graphs with Infomap Method using Accelerated Sparse Accumulation.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
Fast Parallel Index Construction for Efficient K-truss-based Local Community Detection in Large Graphs.
Proceedings of the 52nd International Conference on Parallel Processing, 2023
2022
J. Supercomput., 2022
Proceedings of the Massive Graph Analytics, 2022
2021
HyPC-Map: A Hybrid Parallel Community Detection Algorithm Using Information-Theoretic Approach.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
2020
ACM Trans. Knowl. Discov. Data, 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
Int. J. Big Data Intell., 2019
Distributed Streaming Analytics on Large-scale Oceanographic Data using Apache Spark.
CoRR, 2019
Proceedings of the Dependability in Sensor, Cloud, and Big Data Systems and Applications, 2019
Assessing the Dependability of Apache Spark System: Streaming Analytics on Large-Scale Ocean Data.
Proceedings of the Dependability in Sensor, Cloud, and Big Data Systems and Applications, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Distributed Community Detection in Large Networks using An Information-Theoretic Approach.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Distributed-Memory Parallel Algorithms for Counting and Listing Triangles in Big Graphs.
CoRR, 2017
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017
2015
Proceedings of the Symposium on High Performance Computing, 2015
A Space-Efficient Parallel Algorithm for Counting Exact Triangles in Massive Networks.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015
A fast parallel algorithm for counting triangles in graphs using dynamic load balancing.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
2014
CoRR, 2014
Proceedings of the 10th IEEE International Conference on e-Science, 2014
2013
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
2012
Poster: Parallel Algorithms for Counting Triangles and Computing Clustering Coefficients.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012
Abstract: Parallel Algorithms for Counting Triangles and Computing Clustering Coefficients.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012
Proceedings of the 8th IEEE International Conference on E-Science, 2012
2010
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2010