GPUlab is located at the Section for Scientific Computing, DTU Informatics, Technical
University of Denmark. GPUlab is a competence center and laboratory
for the use of Graphics Processing Units (GPUs) for visualization, scientific computations,
and high-performance computing. The purpose of GPUlab is to attract focal interests
in the use of GPUs by engineering students, researchers, and Danish industry.
To learn more, contact one of:
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Hans Henrik B. Sørensen, Post doc., hhs (at) imm.dtu.dk
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Stefan L. Glimberg, Ph.d. stud., slgl (at) imm.dtu.dk
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Nicolai F. Gade-Nielsen, Ph.d. stud., nfga (at) imm.dtu.dk
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Bernd Dammann, Assoc. Prof., bd (at) imm.dtu.dk
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Allan P. Engsig-Karup, Assoc. Prof., apek (at) imm.dtu.dk
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Jeppe Revall Frisvad, Assoc. Prof., jrf (at) imm.dtu.dk
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John Bagterp Jørgensen, Assoc. Prof., jbj (at) imm.dtu.dk
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Per Christian Hansen, Prof., pch (at) imm.dtu.dk
Funding
GPUlab is funded by the Danish Council for Independent Research - Technology and Production Sciences (FTP).
- Title of research project: "Desktop Scientific Computing on Consumer Graphics Cards".
- Principal investigator: Professor Per Christian
Hansen.
Some of the hardware in GPUlab has been donated by NVIDIA's Academic Partnership
Program in 2010 and 2011.
Showcases
Auto-tuning of Dense Linear Algebra on GPUs
We have implemented an auto-tuning framework that can automate the performance tuning process by running a large set of empirical evaluations to configure applications...
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GPULab Library
– a High-performance GPU-based Library for the Development of Scientific Applications.
We have an ongoing development of a GPU-based generic C++ library for scientific
computing...
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Accelerating Economic Model Predictive Control using GPUs
As stochastic energy production such as wind becomes more common, it is necessary to either store the energy for later consumption or control the energy...
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