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Energy-Efficient Implementation of the Lattice Boltzmann Method

Energies (Basel), 2024-01, Vol.17 (2), p.502

2024

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GPU Accelerated Path Tracing of Massive Scenes

ACM transactions on graphics, 2021-06, Vol.40 (2), p.1-17

2021

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Speed Up of Volumetric Non-Local Transform-Domain Filter Utilising HPC Architecture

Journal of imaging, 2023-11, Vol.9 (11), p.254

2023

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Scalable Algorithms for Contact Problems

Second edition, 2023

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Optimization of Selected Remote Sensing Algorithms for Many-Core Architectures

IEEE journal of selected topics in applied earth observations and remote sensing, 2016-12, Vol.9 (12), p.5576-5587

2016

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A massively parallel and memory-efficient FEM toolbox with a hybrid total FETI solver with accelerator support

The international journal of high performance computing applications, 2019-07, Vol.33 (4), p.660-677

2019

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MERIC and RADAR Generator: Tools for Energy Evaluation and Runtime Tuning of HPC Applications

High Performance Computing in Science and Engineering, 2018, Vol.11087, p.144-159

2018

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Implementation of K-means segmentation algorithm on Intel Xeon Phi and GPU: Application in medical imaging

Advances in engineering software (1992), 2017-01, Vol.103, p.21-28

2017

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Domain knowledge specification for energy tuning

Concurrency and computation, 2019-03, Vol.31 (6), p.n/a

2019

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The READEX formalism for automatic tuning for energy efficiency

Computing, 2017-08, Vol.99 (8), p.727-745

2017

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Implementation of the efficient communication layer for the highly parallel total FETI and hybrid total FETI solvers

Parallel computing, 2016-09, Vol.57, p.154-166

2016

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The HTFETI Method Variant Gluing Cluster Subdomains by Kernel Matrices Representing the Rigid Body Motions

Domain Decomposition Methods in Science and Engineering XXIV, p.543-551

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Hybrid multi-model ensemble learning for reconstructing gridded runoff of Europe for 500 years

Information fusion, 2023-09, Vol.97, p.101807, Article 101807

2023

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Acceleration of Blender Cycles Path-Tracing Engine Using Intel Many Integrated Core Architecture

Computer Information Systems and Industrial Management, p.86-97

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Evaluation of the Intel Xeon Phi offload runtimes for domain decomposition solvers

Advances in engineering software (1992), 2018-11, Vol.125, p.146-154

2018

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An approach for dynamically adaptable SIMD vectorization of FEM kernels

Computer physics communications, 2024-11, Vol.304, p.109319, Article 109319

2024

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Interactive rendering with blender cycles for virtual reality using high performance computing clusters

AIP Conference Proceedings, 2019, Vol.2116 (1)

2019

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Batched transpose-free ADI-type preconditioners for a Poisson solver on GPGPUs

Journal of parallel and distributed computing, 2020-03, Vol.137, p.148-159

2020

Volltextzugriff (PDF)

High Performance Computing in Science and Engineering Theoretical Computer Science and General Issues: 4th International Conference, HPCSE 2019, Karolinka, Czech Republic, May 20-23, 2019, Revised Selected Papers

1st Edition 2021, 2021

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Application instrumentation for performance analysis and tuning with focus on energy efficiency

Concurrency and computation, 2021-06, Vol.33 (11), p.n/a

2021

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An automatically generated graphical configuration tool for the massively parallel library ESPRESO

AIP Conference Proceedings, 2019, Vol.2116 (1)

2019

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Intel Xeon Phi acceleration of Hybrid Total FETI solver

Advances in engineering software (1992), 2017-10, Vol.112, p.124-135

2017

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On the spectrum of Schur complements of 2D elastic clusters joined by rigid edge modes and hybrid domain decomposition

Numerische Mathematik, 2022-09, Vol.152 (1), p.41-66

2022

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Acceleration of acoustic emission signal processing algorithms using CUDA standard

Computer standards and interfaces, 2011-06, Vol.33 (4), p.389-400

2011

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Biologically inspired algorithms applied in automatic tuning of parallel solver parameters for fast execution times

AIP Conference Proceedings, 2024, Vol.3094 (1)

2024

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Energy-Efficient Implementation of the Lattice Boltzmann Method

GPU Accelerated Path Tracing of Massive Scenes

Speed Up of Volumetric Non-Local Transform-Domain Filter Utilising HPC Architecture

Scalable Algorithms for Contact Problems

Optimization of Selected Remote Sensing Algorithms for Many-Core Architectures

A massively parallel and memory-efficient FEM toolbox with a hybrid total FETI solver with accelerator support

MERIC and RADAR Generator: Tools for Energy Evaluation and Runtime Tuning of HPC Applications

Implementation of K-means segmentation algorithm on Intel Xeon Phi and GPU: Application in medical imaging

Domain knowledge specification for energy tuning

The READEX formalism for automatic tuning for energy efficiency

Implementation of the efficient communication layer for the highly parallel total FETI and hybrid total FETI solvers

The HTFETI Method Variant Gluing Cluster Subdomains by Kernel Matrices Representing the Rigid Body Motions

Hybrid multi-model ensemble learning for reconstructing gridded runoff of Europe for 500 years

Acceleration of Blender Cycles Path-Tracing Engine Using Intel Many Integrated Core Architecture

Evaluation of the Intel Xeon Phi offload runtimes for domain decomposition solvers

An approach for dynamically adaptable SIMD vectorization of FEM kernels

Interactive rendering with blender cycles for virtual reality using high performance computing clusters

Batched transpose-free ADI-type preconditioners for a Poisson solver on GPGPUs

High Performance Computing in Science and Engineering Theoretical Computer Science and General Issues: 4th International Conference, HPCSE 2019, Karolinka, Czech Republic, May 20-23, 2019, Revised Selected Papers

Application instrumentation for performance analysis and tuning with focus on energy efficiency

An automatically generated graphical configuration tool for the massively parallel library ESPRESO

Intel Xeon Phi acceleration of Hybrid Total FETI solver

On the spectrum of Schur complements of 2D elastic clusters joined by rigid edge modes and hybrid domain decomposition

Acceleration of acoustic emission signal processing algorithms using CUDA standard

Biologically inspired algorithms applied in automatic tuning of parallel solver parameters for fast execution times

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