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Universitätsbibliographie

Universitätsbibliographie | Universitätsbibliothek | TU Chemnitz

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Nr.	Titel	Autor	Jahr
1	An embarrassingly parallel algorithm for random walk simulations on random fractal structures	Lang, Jens* et al.	2017
2	Tuning linear algebra for energy efficiency on multicore machines by adapting the ATLAS library	Jakobs, Thomas et al.	2017
3	Data-aware tuning of scientific applications with model-based autotuning	Lang, Jens	2016
4	Towards energy-efficient linear algebra with an ATLAS library tuned for energy consumption	Lang, Jens* et al.	2015
5	An execution time and energy model for an energy-aware execution of a conjugate gradient method with CPU/GPU collaboration	Lang, Jens et al.	2014
6	Energie- und Ausführungszeitmodelle zur effizienten Ausführung wissenschaftlicher Simulationen	Lang, Jens	2014
7	Grüner verschlüsseln – Messung des Energieverbrauchs von Verschlüsselungsalgorithmen	Lang, Jens	2014
8	Measuring and modelling energy consumption for a CPU/GPU conjugate gradient method in an adaptive FEM	Lang, Jens et al.	2014
9	Simulation Coupling for Simulink Models with the Functional Mock-up Interface	Lang, Jens et al.	2014
10	Array-Based Reduction Operations for a Parallel Adaptive FEM	Balg, Martina et al.	2013
11	Dynamic Distribution of Workload Between CPU and GPU for a Parallel Conjugate Gradient Method in an Adaptive FEM	Lang, Jens et al.	2013
12	Dynamische Simulationskopplung von Simulink-Modellen durch einen Functional-Mock-up-Interface-Exportfilter	Lang, Jens et al.	2013
13	High-Resolution Power Profiling of GPU Functions Using Low-Resolution Measurement	Lang, Jens et al.	2013
14	Automatic Tuning of the Fast Multipole Method Based on Integrated Performance Prediction	Dachsel, Holger et al.	2012
15	MapReduce – Parallelität im Großen und im Kleinen	Lang, Jens	2012
16	Accelerating Physical Simulations Using Graphics Processing Units	Hoffmann, Karl Heinz et al.	2011
17	Simulating Anomalous Diffusion on Graphics Processing Units	Hoffmann, Karl Heinz et al.	2010

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Anzahl der Ergebnisseiten:	1
Anzahl der Dokumente:	17