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Heike Jagode

Heike Jagode

Heike Jagode

Research Assistant Professor / Adjunct Assistant Professor

Min H. Kao Department of Electrical Engineering and Computer Science

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) in 2008. She is a Research Assistant Professor at ICL and an Adjunct Assistant Professor in the Department of Electrical Engineering and Computer Science (EECS), in the Tickle College of Engineering, at the University of Tennessee - Knoxville (UTK). She specializes in High Performance Computing (HPC) and the efficient use of advanced computer architectures, focusing primarily on developing methods and tools for performance analysis, tuning, and efficient energy use of parallel scientific applications.

Heike's Ph.D. research 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