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Heike Jagode

Heike Jagode

Heike Jagode

Research Associate Professor

Innovative Computing Laboratory


Contact Information

Heike Jagode

Personal Website

Education

  • Ph.D. in Computer Science, University of Tennessee, Knoxville, USA, 2017
  • M.Sc. in High-Performance Computing, University of Edinburgh EPCC, Scotland, UK, 2006
  • M.Sc. in Applied Techno-Mathematics, University of Applied Sciences Mittweida, Germany, 2001
  • B.Sc. in Applied Mathematics, University of Applied Sciences Mittweida, Germany, 2001

Biography

Heike Jagode

Heike Jagode joined the Innovative Computing Laboratory (ICL), under the leadership of Jack Dongarra, in 2008. Currently, she holds the position of Research Associate Professor at ICL, which is part of the Tickle College of Engineering at the University of Tennessee, Knoxville (UTK). Furthermore, Heike assumed the role of Lead of the ICL Performance Group in 2013. She specializes in High Performance Computing (HPC) and the efficient utilization of advanced computer architectures. Her primary focus is on developing methods and tools for performance analysis, tuning, and energy efficiency of parallel scientific applications.

Heike's PhD research (advisor: Jack Dongarra) focused on a multi-disciplinary effort to develop Dataflow Programming Paradigms for Computational Chemistry Methods to make these methods compatible with next-generation task scheduling systems, like StarPU or PaRSEC. In her research, she converted the state-of-the-art NWChem Coupled Cluster methods into different dataflow versions and demonstrated the benefits of dataflow-based task execution over coarse grain parallelism in terms of scalability, resource utilization, and programmability.


Research

Heike Jagode

  • High-Performance Computing
  • Computer Architectures
  • Performance Analysis and Tuning
  • Performance Modeling
  • Power and Energy Monitoring and Capping
  • Dataflow Programming Paradigms
Google Scholar