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Dennis Rieber

Dennis Sebastian Rieber

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affiliation (PhD 2023): University of Heidelberg, Germany
affiliation: Robert Bosch GmbH, Robert Bosch Corporate Research, Renningen, Germany

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2020 – today

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2024
[c4]
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Yannick Braatz, Taha Soliman, Shubham Rai, Dennis Sebastian Rieber, Oliver Bringmann:
CoNAX: Towards Comprehensive Co-Design Neural Architecture Search Using HW Abstractions. ASAP 2024: 8-16
2023
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Dennis Rieber:
Deployment of Deep Neural Networks on Dedicated Hardware Accelerators. University of Heidelberg, Germany, 2023
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Yannick Braatz, Dennis Sebastian Rieber, Taha Soliman, Oliver Bringmann:
Simulation-driven Latency Estimations for Multi-core Machine Learning Accelerators. AICAS 2023: 1-5
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Yannick Braatz, Dennis Sebastian Rieber, Taha Soliman, Oliver Bringmann:
SimPyler: A Compiler-Based Simulation Framework for Machine Learning Accelerators. ASAP 2023: 213-220
2022
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Dennis Rieber, Axel Acosta, Holger Fröning:
Joint Program and Layout Transformations to Enable Convolutional Operators on Specialized Hardware Based on Constraint Programming. ACM Trans. Archit. Code Optim. 19(1): 7:1-7:26 (2022)
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  - journals/corr/abs-2205-15568
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Dennis Rieber, Moritz Reiber, Oliver Bringmann, Holger Fröning:
HW-Aware Initialization of DNN Auto-Tuning to Improve Exploration Time and Robustness. CoRR abs/2205.15568 (2022)
2021
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Dennis Rieber, Axel Acosta, Holger Fröning:
The Programming of Deep Learning Accelerators as a Constraint Satisfaction Problem. CoRR abs/2104.04731 (2021)
2020
[c1]
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Dennis Rieber, Holger Fröning:
Search Space Complexity of Iteration Domain Based Instruction Embedding for Deep Learning Accelerators. IoT Streams/ITEM@PKDD/ECML 2020: 213-228

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