Cecilia De la Parra

PhD thesis, 2024

Accelerating Automated Driving and ADAS Using HW/SW Codesign.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International System-on-Chip Conference, 2024

2023

Torwards Variability Immune Scalable FeFET-based Macros for IMC DNN Accelerators.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Conference on Electronics, Circuits and Systems, 2023

2022

Increasing Throughput of In-Memory DNN Accelerators by Flexible Layerwise DNN Approximation.

[BibT_eX]

[DOI]

IEEE Micro, 2022

Efficient Hardware Approximation for Bit-Decomposition Based Deep Neural Network Accelerators.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International System-on-Chip Conference, 2022

2021

Exploiting Resiliency for Kernel-Wise CNN Approximation Enabled by Adaptive Hardware Design.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Knowledge Distillation and Gradient Estimation for Active Error Compensation in Approximate Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

A Novel DRAM-Based Process-in-Memory Architecture and its Implementation for CNNs.

[BibT_eX]

[DOI]

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

Efficient Accuracy Recovery in Approximate Neural Networks by Systematic Error Modelling.

[BibT_eX]

[DOI]

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

Adaptable Approximation Based on Bit Decomposition for Deep Neural Network Accelerators.

[BibT_eX]

[DOI]

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

Improving approximate neural networks for perception tasks through specialized optimization.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2020

Full Approximation of Deep Neural Networks through Efficient Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

ProxSim: GPU-based Simulation Framework for Cross-Layer Approximate DNN Optimization.

[BibT_eX]

[DOI]