Reguly István Zoltán

Reguly István Zoltán, Ph.D. associate professor

Short bio

Istvan Zoltan Reguly got his MSc in 2010 and his PhD in 2014 from PPCU ITK, in computer science. His thesis focused on the abstraction and implementation of unstructured mesh algorithms. He spent 11 months at NVIDIA as an intern, working on algebraic multigird methods on GPUs, and 3 years at the University of Oxford, Oxford e-Reserach Centre, working with Prof. Mike Giles.

His research interests include performance engineering of scientific codes for multi- and many-core architectures and supercomputers,

  • pdf

    Patterns in Java

    • BSc in Computer Engineering
  • pdf

    Bevezetés a párhuzamos programozásba

    • MSc in Computer Engineering

My research interests are the following:

  • Scientific computing and High Performance Computing
  • Parallel algorithms in sparse linear algebra, structured and unstructured mesh computations
  • Domain specific languages and high-level approaches in scientific computing
  • Automated mapping of algorithms to parallel architectures and programming languages
  • Low-level performance optimisation and benchmarking of CPUs and accelerators like GPUs and the Xeon Phi
  • Delivering high-level features such as checkpointing, MPI communications, memory locality improvements automatically through DSLs

The bulk of my research takes place in the context of the OP2 and OPS libraries for unstructured and structured grids and the OPS library for structured grids. My primary research interest is to raise the level of abstraction of programming for domain scientists, such as physicists, chemists, mathematicians, to enable them to describe their computational problems at a higher level and not worry about the practical implementation issues, such as managing data movement and parallelism.

 

Software:

  • OP2 - DSL for unstructured mesh computations. Available on github
  • OPS - DSL for multi-block structured mesh computations. Available on github
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