Allan P. Engsig-Karup
Associate Professor in Scientific Computing, M.Sc.(Eng.), Ph.D.
Faculty Member of Center For Energy Resources Engineering (CERE), DTU

	  P. Engsig-Karup Scientific Computing
DTU Compute, Technical University of Denmark
Matematiktorvet, Building 303b/108
2800 Kgs.-Lyngby
Tel: (+45) 45 25 30 73
Fax: (+45) 45 88 26 73
Skype: a.p.engsigkarup
apek @

Scientific Computing
DTU Compute
Anne Mette Eltzholtz Larsen
Building 303B, room 105
Tal: (+45) 45 25 52 46

Research interests linked to basic and applied mathematics research for Advanced Simulations and innovative use of Modern Computing Technologies

Publications, presentations, etc. or check out my profile at ResearchGate.

Internships with companies and research institutions

University Teaching

Course catalogue at DTU: Catalogue

Organized PhD schools, Workshops and Seminars

At the Scientific Computing Section of DTU Compute, we also host Scientific Computing Seminars.

Past Research and Innovation

Active and recent research areas in new technologies, computational mathematics and their applications

Research in paradigm shifts in scientific computing using modern parallel programming paradigms and emerging many-core and heterogeneous architectures ranging from work desktops to largest super-computing clusters.
Novel algorithms and high-performance computing for fast (possibly real-time) calculations to pave the way for novel marine and naval hydrodynamics calculations.
Novel and efficient spectral (high-order) algorithms for uncertainty quantification of problems with high dimensionality, data science, machine learning, stochastic simulations.
Massively parallel and scalable algorithms for scientific engineering applications, e.g. reservoir simulation and hydrodynamics.
Novel application proof-of-concepts for engineering analysis.
Research in efficient and robust high-order unstructured numerical methods and time-dependent models.

Scientific Software Engineering

Drivers of the research are scientific software for scientific investigation.

Some work are described in chapters of Designing Scientific Applications on GPUs.

Poster highlights

Supervision in student research projects (selected and recent)

Community service

2010, Co-founder (with colleagues at Scientific Computing Section) of GPULAB with strong focus on Scientific GPU Computing, fundamental aspects of high-performance and heterogenous computing on modern many-core architectures and software development for proofs of concepts related to next-generation scientific applications using modern programming paradigms (CUDA/OpenCL) and tools. GPUlab was designated Nvidia CUDA Teaching Center May 2012 and Nvidia CUDA Research Center (PI: Allan P. Engsig-Karup) since November 2012.

I am a member of the Scientific Council of Danish Center for Applied Mathematics and Mechanics (DCAMM).