Christian Obrecht

Orcid: 0000-0002-6892-9057

According to our database1, Christian Obrecht authored at least 15 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Query-adaptive training data recommendation for cross-building predictive modeling.
Knowl. Inf. Syst., February, 2023

2021
A microservice-based framework for exploring data selection in cross-building knowledge transfer.
Serv. Oriented Comput. Appl., 2021

2019
On the suitability of Data Selection for Cross-building Knowledge Transfer.
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019

2017
Improving 3D lattice boltzmann method stencil with asynchronous transfers on many-core processors.
Proceedings of the 36th IEEE International Performance Computing and Communications Conference, 2017

2016
Thermal link-wise artificial compressibility method: GPU implementation and validation of a double-population model.
Comput. Math. Appl., 2016

2015
Performance Evaluation of an OpenCL Implementation of the Lattice Boltzmann Method on the Intel Xeon Phi.
Parallel Process. Lett., 2015

MPI communication on MPPA Many-core NoC: design, modeling and performance issues.
Proceedings of the Parallel Computing: On the Road to Exascale, 2015

2014
High-performance implementations and large-scale validation of the link-wise artificial compressibility method.
J. Comput. Phys., 2014

2013
Scalable lattice Boltzmann solvers for CUDA GPU clusters.
Parallel Comput., 2013

Efficient GPU implementation of the linearly interpolated bounce-back boundary condition.
Comput. Math. Appl., 2013

Multi-GPU implementation of the lattice Boltzmann method.
Comput. Math. Appl., 2013

2011
The TheLMA project: Multi-GPU implementation of the lattice Boltzmann method.
Int. J. High Perform. Comput. Appl., 2011

A new approach to the lattice Boltzmann method for graphics processing units.
Comput. Math. Appl., 2011

2010
LBM based flow simulation using GPU computing processor.
Comput. Math. Appl., 2010

Global Memory Access Modelling for Efficient Implementation of the Lattice Boltzmann Method on Graphics Processing Units.
Proceedings of the High Performance Computing for Computational Science - VECPAR 2010, 2010


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