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Cecilia De la Parra
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2020 – today
- 2024
- [b1]Cecilia De la Parra:
Post-Training Optimization of Cross-layer Approximate Computing for Edge Inference of Deep Learning Applications. Dresden University of Technology, Germany, 2024 - [c12]Shubham Rai, Cecilia De la Parra, Martin Rapp, Jan Micha Borrmann, Nina Bretz, Stefan Metzlaff, Taha Soliman, Christoph Schorn:
Accelerating Automated Driving and ADAS Using HW/SW Codesign. SOCC 2024: 1-6 - 2023
- [c11]Nellie Laleni, Taha Soliman, Cecilia De la Parra, Franz Müller, Tobias Kirchner, Andre Guntoro, Thomas Kämpfe, Norbert Wehn, T. Jang:
Torwards Variability Immune Scalable FeFET-based Macros for IMC DNN Accelerators. ICECS 2023: 1-4 - 2022
- [j2]Cecilia De la Parra
, Taha Soliman
Increasing Throughput of In-Memory DNN Accelerators by Flexible Layerwise DNN Approximation. IEEE Micro 42(6): 17-24 (2022) - [c10]Taha Soliman, Amro Eldebiky, Cecilia De la Parra, Andre Guntoro, Norbert Wehn:
Efficient Hardware Approximation for Bit-Decomposition Based Deep Neural Network Accelerators. SOCC 2022: 1-6 - 2021
- [c9]Taha Soliman, Cecilia De la Parra, Andre Guntoro
Adaptable Approximation Based on Bit Decomposition for Deep Neural Network Accelerators. AICAS 2021: 1-4 - [c8]Chirag Sudarshan, Taha Soliman, Cecilia De la Parra, Christian Weis, Leonardo Ecco, Matthias Jung, Norbert Wehn, Andre Guntoro
A Novel DRAM-Based Process-in-Memory Architecture and its Implementation for CNNs. ASP-DAC 2021: 35-42 - [c7]Cecilia De la Parra, Andre Guntoro
Efficient Accuracy Recovery in Approximate Neural Networks by Systematic Error Modelling. ASP-DAC 2021: 365-371 - [c6]Cecilia De la Parra, Xuyi Wu, Andre Guntoro
Knowledge Distillation and Gradient Estimation for Active Error Compensation in Approximate Neural Networks. DATE 2021: 679-684 - [c5]Cecilia De la Parra, Ahmed El-Yamany, Taha Soliman, Akash Kumar
Exploiting Resiliency for Kernel-Wise CNN Approximation Enabled by Adaptive Hardware Design. ISCAS 2021: 1-5 - 2020
- [j1]Cecilia De la Parra
Improving approximate neural networks for perception tasks through specialized optimization. Future Gener. Comput. Syst. 113: 597-606 (2020) - [c4]Taha Soliman, Ricardo Olivo, Tobias Kirchner, Cecilia De la Parra, Maximilian Lederer
Efficient FeFET Crossbar Accelerator for Binary Neural Networks. ASAP 2020: 109-112 - [c3]Cecilia De la Parra
ProxSim: GPU-based Simulation Framework for Cross-Layer Approximate DNN Optimization. DATE 2020: 1193-1198 - [c2]Andre Guntoro
Next Generation Arithmetic for Edge Computing. DATE 2020: 1357-1365 - [c1]Cecilia De la Parra, Andre Guntoro, Akash Kumar:
Full Approximation of Deep Neural Networks through Efficient Optimization. ISCAS 2020: 1-5
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