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Michael Bromberger
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2010 – 2019
- 2018
- [b1]Michael Bromberger:
Tuning the Computational Effort: An Adaptive Accuracy-aware Approach Across System Layers. Karlsruhe Institute of Technology, Germany, 2018 - [c8]Michael Bromberger, Markus Hoffmann, Robin Rehrmann:
Do Iterative Solvers Benefit from Approximate Computing? An Evaluation Study Considering Orthogonal Approximation Methods. ARCS 2018: 297-310 - [c7]Michael Bromberger, Wolfgang Karl:
A Transparent View on Approximate Computing Methods for Tuning Applications. ISC Workshops 2018: 570-578 - 2017
- [c6]Michael Bromberger, Steffen Ehrle, Michael Scharrer, Lukas Erlinghagen, Jens Schick:
OpenCL-Based 6D-Vision on Heterogeneous System on Chips. ARCS 2017: 33-46 - 2016
- [c5]Michael Bromberger, Vincent Heuveline, Wolfgang Karl:
Reducing Energy Consumption of Data Transfers Using Runtime Data Type Conversion. ARCS 2016: 239-250 - [c4]Michael Bromberger, Pascal Bastian, Jan-Philip Bergeest, Christian Conrad, Vincent Heuveline, Karl Rohr, Wolfgang Karl:
FPGA-accelerated Richardson-Lucy deconvolution for 3D image data. ISBI 2016: 132-135 - 2015
- [j1]Michael Bromberger, Fabian Nowak, Wolfgang Karl:
Combined hardware-software multi-parallel prefiltering on the Convey HC-1 for fast homology detection. Parallel Comput. 42: 4-17 (2015) - 2014
- [c3]Fabian Nowak, Michael Bromberger, Wolfgang Karl:
An Architecture Framework for Porting Applications to FPGAs. ARCS Workshops 2014: 1-7 - [c2]Michael Bromberger:
Supporting Big Data Applications using Hybrid Architectures. Informatiktage 2014: 21-24 - 2013
- [c1]Fabian Nowak, Michael Bromberger, Martin Schindewolf, Wolfgang Karl:
Multi-parallel prefiltering on the convey HC-1 for supporting homology detection. EuroMPI 2013: 169-174
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