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Publication search results
found 211 matches
- 2024
- Christian Heidorn, Muhammad Sabih, Nicolai Meyerhöfer, Christian Schinabeck, Jürgen Teich, Frank Hannig:
Hardware-Aware Evolutionary Explainable Filter Pruning for Convolutional Neural Networks. Int. J. Parallel Program. 52(1): 40-58 (2024) - Patrick Plagwitz, Frank Hannig, Jürgen Teich, Oliver Keszöcze:
SNN vs. CNN Implementations on FPGAs: An Empirical Evaluation. ARC 2024: 3-18 - 2023
- Muhammad Sabih, Mikail Yayla, Frank Hannig, Jürgen Teich, Jian-Jia Chen:
Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods. EuroMLSys@EuroSys 2023: 87-93 - Patrick Plagwitz, Frank Hannig, Jürgen Teich, Oliver Keszöcze:
To Spike or Not to Spike? A Quantitative Comparison of SNN and CNN FPGA Implementations. CoRR abs/2306.12742 (2023) - 2022
- Samer Alhaddad, Jens Förstner, Stefan Groth, Daniel Grünewald, Yevgen Grynko, Frank Hannig, Tobias Kenter, Franz-Josef Pfreundt, Christian Plessl, Merlind Schotte, Thomas Steinke, Jürgen Teich, Martin Weiser, Florian Wende:
The HighPerMeshes framework for numerical algorithms on unstructured grids. Concurr. Comput. Pract. Exp. 34(14) (2022) - Sophie Vandenbussche, Bavo Langerock, Corinne Vigouroux, Matthias Buschmann, Nicholas M. Deutscher, Dietrich G. Feist, Omaira Elena García, James W. Hannigan, Frank Hase, Rigel Kivi, Nicolas Kumps, Maria Makarova, Dylan B. Millet, Isamu Morino, Tomoo Nagahama, Justus Notholt, Hirofumi Ohyama, Ivan Ortega, Christof Petri, Markus Rettinger, Matthias Schneider, Christian P. Servais, Mahesh Kumar Sha, Kei Shiomi, Dan Smale, Kimberly Strong, Ralf Sussmann, Yao Té, Voltaire A. Velazco, Mihalis Vrekoussis, Thorsten Warneke, Kelley C. Wells, Debra Wunch, Minqiang Zhou, Martine De Mazière:
Nitrous Oxide Profiling from Infrared Radiances (NOPIR): Algorithm Description, Application to 10 Years of IASI Observations and Quality Assessment. Remote. Sens. 14(8): 1810 (2022) - Marcel Brand, Frank Hannig, Oliver Keszöcze, Jürgen Teich:
Precision- and Accuracy-Reconfigurable Processor Architectures - An Overview. IEEE Trans. Circuits Syst. II Express Briefs 69(6): 2661-2666 (2022) - Frank Hannig, Steven Derrien:
Special Issue on Applied Reconfigurable Computing. J. Signal Process. Syst. 94(9): 847-848 (2022) - Muhammad Sabih, Frank Hannig, Jürgen Teich:
DyFiP: explainable AI-based dynamic filter pruning of convolutional neural networks. EuroMLSys@EuroSys 2022: 109-115 - Patrick Plagwitz, Frank Hannig, Jürgen Teich:
TRAC: Compilation-Based Design of Transformer Accelerators for FPGAs. FPL 2022: 17-23 - Muhammad Sabih, Ashutosh Mishra, Frank Hannig, Jürgen Teich:
MOSP: Multi-Objective Sensitivity Pruning of Deep Neural Networks. IGSC 2022: 1-8 - Christian Heidorn, Nicolai Meyerhöfer, Christian Schinabeck, Frank Hannig, Jürgen Teich:
Hardware-Aware Evolutionary Filter Pruning. SAMOS 2022: 283-299 - 2021
- Frank Hannig, Jürgen Teich:
Open Source Hardware. Computer 54(10): 111-115 (2021) - Marcel Brand, Michael Witterauf, Éricles Sousa, Alexandru Tanase, Frank Hannig, Jürgen Teich:
*-Predictable MPSoC execution of real-time control applications using invasive computing. Concurr. Comput. Pract. Exp. 33(14) (2021) - M. Akif Özkan, Burak Ok, Bo Qiao, Jürgen Teich, Frank Hannig:
HipaccVX: wedding of OpenVX and DSL-based code generation. J. Real Time Image Process. 18(3): 765-777 (2021) - Michael Witterauf, Dominik Walter, Frank Hannig, Jürgen Teich:
Symbolic Loop Compilation for Tightly Coupled Processor Arrays. ACM Trans. Embed. Comput. Syst. 20(5): 49:1-49:31 (2021) - Frank Hannig, Dirk Koch:
Introduction to the Special Issue on Application-Specific Systems, Architectures and Processors. J. Signal Process. Syst. 93(12): 1363-1364 (2021) - Muhammad Sabih, Frank Hannig, Jürgen Teich:
Fault-Tolerant Low-Precision DNNs using Explainable AI. DSN Workshops 2021: 166-174 - Patrick Plagwitz, Frank Hannig, Martin Ströbel, Christoph Strohmeyer, Jürgen Teich:
A Safari through FPGA-based Neural Network Compilation and Design Automation Flows. FCCM 2021: 10-19 - Christian Heidorn, Dominik Walter, Yunus Emre Candir, Frank Hannig, Jürgen Teich:
Hand Sign Recognition via Deep Learning on Tightly Coupled Processor Arrays. FPL 2021: 388 - Bo Qiao, Jürgen Teich, Frank Hannig:
An Efficient Approach for Image Border Handling on GPUs via Iteration Space Partitioning. IPDPS Workshops 2021: 387-396 - Stefan Groth, Jürgen Teich, Frank Hannig:
Efficient Application of Tensor Core Units for Convolving Images. SCOPES 2021: 1-6 - Steven Derrien, Frank Hannig, Pedro C. Diniz, Daniel Chillet:
Applied Reconfigurable Computing. Architectures, Tools, and Applications - 17th International Symposium, ARC 2021, Virtual Event, June 29-30, 2021, Proceedings. Lecture Notes in Computer Science 12700, Springer 2021, ISBN 978-3-030-79024-0 [contents] - Michael Witterauf, Dominik Walter, Frank Hannig, Jürgen Teich:
Symbolic Loop Compilation for Tightly Coupled Processor Arrays. CoRR abs/2101.04395 (2021) - Frank Hannig, Paolo Meloni, Matteo Spallanzani, Matthias Ziegler:
Proceedings of the DATE Friday Workshop on System-level Design Methods for Deep Learning on Heterogeneous Architectures (SLOHA 2021). CoRR abs/2102.00818 (2021) - 2020
- Sandra Mattauch, Katja Lohmann, Frank Hannig, Daniel Lohmann, Jürgen Teich:
A bibliometric approach for detecting the gender gap in computer science. Commun. ACM 63(5): 74-80 (2020) - M. Akif Özkan, Arsène Pérard-Gayot, Richard Membarth, Philipp Slusallek, Roland Leißa, Sebastian Hack, Jürgen Teich, Frank Hannig:
AnyHLS: High-Level Synthesis With Partial Evaluation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3202-3214 (2020) - Dirk Koch, Frank Hannig, Javier Navaridas:
Message from the Conference Chairs - ASAP 2020. ASAP 2020: i-ii - Stefan Groth, Daniel Grünewald, Jürgen Teich, Frank Hannig:
A runtime system for finite element methods in a partitioned global address space. CF 2020: 39-48 - Bo Qiao, M. Akif Özkan, Jürgen Teich, Frank Hannig:
The Best of Both Worlds: Combining CUDA Graph with an Image Processing DSL. DAC 2020: 1-6
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