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Contributor

Farahnaz Hosseini
Biography
I am 3rd year PhD student at the university of North Texas and I am working on Developing Adoptive Algorithms for Large Dynamic Data. My research is on high-performance computing and graphs, especially in developing algorithms to efficiently compute the properties of large-scale dynamic graphs. I use HPC tools including MPI, OpenMP, and GPU-based tools such as CUDA to develop scalable algorithms for dynamic graphs. I aim to develop a template for creating parallel scalable algorithms for updating different properties of large-scale dynamic networks. My goal is to move from the current approach of case-by-case algorithm design to a holistic support infrastructure for dynamic network analysis.
Presentations
Posters
Research Posters
10am - 5pm Tuesday, 14 November 2023 DEF Concourse
Artificial Intelligence/Machine Learning
Architecture and Networks
Heterogeneous Computing
I/O and File Systems
Performance Measurement, Modeling, and Tools
Post-Moore Computing
Programming Frameworks and System Software
Quantum Computing
TP
XO/EX