Jens Lang

Affiliations:
  • Chemnitz University of Technology, Germany


According to our database1, Jens Lang authored at least 11 papers between 2010 and 2018.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Tuning linear algebra for energy efficiency on multicore machines by adapting the ATLAS library.
Future Gener. Comput. Syst., 2018

2017
An embarrassingly parallel algorithm for random walk simulations on random fractal structures.
J. Comput. Sci., 2017

Data-aware tuning of scientific applications with model-based autotuning.
Concurr. Comput. Pract. Exp., 2017

2015
Towards energy-efficient linear algebra with an ATLAS library tuned for energy consumption.
Proceedings of the 2015 International Conference on High Performance Computing & Simulation, 2015

2014
An execution time and energy model for an energy-aware execution of a conjugate gradient method with CPU/GPU collaboration.
J. Parallel Distributed Comput., 2014

2013
Dynamic Distribution of Workload Between CPU and GPU for a Parallel Conjugate Gradient Method in an Adaptive FEM.
Proceedings of the International Conference on Computational Science, 2013

High-Resolution Power Profiling of GPU Functions Using Low-Resolution Measurement.
Proceedings of the Euro-Par 2013 Parallel Processing, 2013

2012
Automatic Tuning of the Fast Multipole Method Based on Integrated Performance Prediction.
Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012

Array-Based Reduction Operations for a Parallel Adaptive FEM.
Proceedings of the Facing the Multicore-Challenge, 2012

2011
Beschleunigung physikalischer Simulationen durch Grafikprozessoren (Accelerating Physical Simulations Using Graphics Processing Units).
it Inf. Technol., 2011

2010
Simulating anomalous diffusion on graphics processing units.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010


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