Name: Anna Giannakou
Pronouns: she/her/hers
Biography:
Anna Giannakou is a research scientist in the SDD working on intelligent data analytics and machine learning for networking. Anna received her PhD from Institut National des Sciences Appliquées at Inria Rennes in July 2017. Working in Dr. Christine Morin’s research group, Anna’s research focused on self-adaptable security monitoring for cloud environments.
Institution/Lab: Lawrence Berkeley National Laboratory
Website: https://crd.lbl.gov/divisions/scidata/uds/staff/anna-giannakou/
SRP Collaboration Topic/Title: Informing the next generation of HPC networking using intelligent data analytics
Field or research area: computer science, networking, machine learning
Please select all the topical areas that apply to your project:
Computer Science (i.e., architectures, compilers/languages, networks, workflow/edge, experiment automation, containers, neuromorphic computing, programming models, operating systems, sustainable software); Data Science (i.e., data analytics, data management & storage systems, visualization); High-Performance Computing; Machine Learning and AI
Brief Abstract:
Scientific discovery depends on analyzing large amounts of experimental data that are produced from different instruments scattered around the world. In the next 10 years the amount of experimental data produced is expected to increase by at least two orders of magnitude. In order to be analyzed, data needs to be transferred fast and reliably to HPC centers introducing network performance as a critical factor for success. In this project we will use data analysis combined with machine learning to detect data movement performance patterns that will inform the design of dynamic HPC networks. We will use scientific network traffic from NERSC, one of the leading HPC facilities in the world. In this project we are looking for someone to help us understand information from different sources and ultimately unveil the key to faster, next generation HPC networks.
Desired relevant skills, background, or interests:
coding data analysis systems communication presentation
Other comments:
Do any special requirements apply? other
Other, specify: none
Keywords:
networks;machine learning; performance analysis; anomaly detection
Lightning Talk Title: Intelligent traffic engineering using AI