Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Large scale visualization on the Powerwall.
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.
Dr. Martin Berzins

Dr. Martin Berzins - SCI Faculty Member

Professor of Computer Science
Visiting Professor at University of Leeds

WEB 4803
phone (801) 585-1545
fax (801) 581-5843
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My Publications

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Background

Martin comes to SCI from the University of Leeds in the UK where he was Professor of Scientific Computing and Research Dean for Engineering. He earned his PhD in Computer Science at Leeds in 1981. He has worked in the fields of mathematical software, numerical analysis, parallel computing and more recently problem solving environments and grid computing. Much of Martin's work has centered around solving challenging applications problems in computational fluid dynamics, combustion, atmospheric modeling and lubrication modeling.

Research Interests

  • Software Abstractions for Extreme-Scale Scalability of Computational Frameworks
  • Extreme-scale parallel solution of complex science and engineering problems
  • Runtime systems for DAG-based software at extreme parallel scales.
  • Adaptive computational algorithms in scientific computing
  • Interdisciplinary solution approaches to challenging applications
  • High performance solution of large graph-based applications

My research is concerned with developing algorithms and software for the solution of challenging science and engineering problems both serial and parallel computers. Much of this research at present involves the use of the Uintah computational framework on a number of challenging example cases from combustion and multi-scale materials science. For example in 2014 the uintah code is used to solve complex engineering problems on four of the ten fastest and most powerful computers in the world. This reseach is currently directed through two large centers:

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Student Theses