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ORCIDMichaela Blott
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Publications
- 2025
[i30]Shashwat Khandelwal, Jakoba Petri-Koenig, Thomas B. Preußer, Michaela Blott, Shreejith Shanker:
FINN-GL: Generalized Mixed-Precision Extensions for FPGA-Accelerated LSTMs. CoRR abs/2506.20810 (2025)- 2024
- [j16]Konstantin Hoßfeld
, Hans Jakob Damsgaard, Jari Nurmi, Michaela Blott, Thomas B. Preußer:
High-efficiency Compressor Trees for Latest AMD FPGAs. ACM Trans. Reconfigurable Technol. Syst. 17(2): 30:1-30:32 (2024) - [c41]Shivam Aggarwal, Hans Jakob Damsgaard, Alessandro Pappalardo, Giuseppe Franco, Thomas B. Preußer, Michaela Blott, Tulika Mitra:
Shedding the Bits: Pushing the Boundaries of Quantization with Minifloats on FPGAs. FPL 2024: 297-303 - 2023
- [j14]Monica Chiosa, Thomas B. Preußer, Michaela Blott, Gustavo Alonso:
AMNES: Accelerating the computation of data correlation using FPGAs. Proc. VLDB Endow. 16(13): 4174-4187 (2023) - [j13]Syed Asad Alam, David Gregg, Giulio Gambardella, Thomas B. Preußer, Michaela Blott:
On the RTL Implementation of FINN Matrix Vector Unit. ACM Trans. Embed. Comput. Syst. 22(6): 94:1-94:27 (2023) - [i28]Shivam Aggarwal, Alessandro Pappalardo, Hans Jakob Damsgaard, Giuseppe Franco, Thomas B. Preußer, Michaela Blott, Tulika Mitra:
Post-Training Quantization with Low-precision Minifloats and Integers on FPGAs. CoRR abs/2311.12359 (2023) - 2018
- [j4]Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu, Miriam Leeser, Kees A. Vissers:
FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks. ACM Trans. Reconfigurable Technol. Syst. 11(3): 16:1-16:23 (2018) - [c24]Thomas B. Preußer, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott:
Inference of quantized neural networks on heterogeneous all-programmable devices. DATE 2018: 833-838 - [i12]Thomas B. Preußer, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott:
Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices. CoRR abs/1806.08085 (2018) - [i10]Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu, Miriam Leeser:
Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic. CoRR abs/1807.03123 (2018) - [i7]Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu:
FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks. CoRR abs/1809.04570 (2018) - 2017
- [c16]Michaela Blott, Thomas B. Preußer, Nicholas J. Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu, Miriam Leeser:
Scaling Neural Network Performance through Customized Hardware Architectures on Reconfigurable Logic. ICCD 2017: 419-422
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