Dolly Sapra

Orcid: 0000-0003-3590-0394

Affiliations:
  • University of Amsterdam, The Netherlands


According to our database1, Dolly Sapra authored at least 17 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2024
ARM-CO-UP: ARM COoperative Utilization of Processors.
ACM Trans. Design Autom. Electr. Syst., 2024

PiQi: Partially Quantized DNN Inference on HMPSoCs.
Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024

2023
On Achieving Privacy-Preserving State-of-the-Art Edge Intelligence.
CoRR, 2023

Exploring Multi-core Systems with Lifetime Reliability and Power Consumption Trade-offs.
Proceedings of the Embedded Computer Systems: Architectures, Modeling, and Simulation, 2023

PELSI: Power-Efficient Layer-Switched Inference.
Proceedings of the 29th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2023

2022
Scenario Based Run-Time Switching for Adaptive CNN-Based Applications at the Edge.
ACM Trans. Embed. Comput. Syst., 2022

Designing convolutional neural networks with constrained evolutionary piecemeal training.
Appl. Intell., 2022

CPU-GPU Layer-Switched Low Latency CNN Inference.
Proceedings of the 25th Euromicro Conference on Digital System Design, 2022

2021
Exploring Cell-Based Neural Architectures for Embedded Systems.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

The Choice of AI Matters: Alternative Machine Learning Approaches for CPS Anomalies.
Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2021

2020
Constrained Evolutionary Piecemeal Training to Design Convolutional Neural Networks.
Proceedings of the Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices, 2020

Deep Learning Model Reuse and Composition in Knowledge Centric Networking.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

An evolutionary optimization algorithm for gradually saturating objective functions.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Optimization and deployment of CNNs at the edge: the ALOHA experience.
Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

2018
Architecture-aware design and implementation of CNN algorithms for embedded inference: the ALOHA project.
Proceedings of the 30th International Conference on Microelectronics, 2018

ALOHA: an architectural-aware framework for deep learning at the edge.
Proceedings of the Workshop on INTelligent Embedded Systems Architectures and Applications, 2018

2017
Work-in-Progress: Design-Space Exploration of Multi-Core Processors for Safety-Critical Real-Time Systems.
Proceedings of the 2017 IEEE Real-Time Systems Symposium, 2017


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