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ORCIDJakoba Petri-Koenig
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Journal Articles
- 2022
[j1]Tobias Alonso
, Lucian Petrica, Mario Ruiz, Jakoba Petri-Koenig, Yaman Umuroglu, Ioannis Stamelos, Elias Koromilas, Michaela Blott, Kees A. Vissers:
Elastic-DF: Scaling Performance of DNN Inference in FPGA Clouds through Automatic Partitioning. ACM Trans. Reconfigurable Technol. Syst. 15(2): 15:1-15:34 (2022)
Conference and Workshop Papers
- 2024
- [c3]Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig, Yaman Umuroglu:
A2Q+: Improving Accumulator-Aware Weight Quantization. ICML 2024 - 2023
- [c2]Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig:
A2Q: Accumulator-Aware Quantization with Guaranteed Overflow Avoidance. ICCV 2023: 16943-16952 - [c1]Zaid Al-Ars, Jakoba Petri-Koenig, Joost Hoozemans, Luc Dierick, H. Peter Hofstee:
OctoRay: Framework for Scalable FPGA Cluster Acceleration of Python Big Data Applications. SC Workshops 2023: 539-546
Informal and Other Publications
- 2024
- [i3]Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig, Yaman Umuroglu:
A2Q+: Improving Accumulator-Aware Weight Quantization. CoRR abs/2401.10432 (2024) - 2023
- [i2]Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig:
Quantized Neural Networks for Low-Precision Accumulation with Guaranteed Overflow Avoidance. CoRR abs/2301.13376 (2023) - [i1]Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig:
A2Q: Accumulator-Aware Quantization with Guaranteed Overflow Avoidance. CoRR abs/2308.13504 (2023)
Coauthor Index
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