Comparative Study of Scheduling a Convolutional Neural Network on Multicore MCU

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	DASIP (15. : 2022 : Budapest) Design and architecture for signal and image processing
1. Verfasser:	Dobiáš, Petr (VerfasserIn)
Weitere Verfasser:	Garbay, Thomas (VerfasserIn), Hachicha, Bertrand Granado. Khalil (VerfasserIn), Pinna, Andrea (VerfasserIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2022
Schlagworte:
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Titel	Jahr	Verfasser
High-Performance Gallager-E Decoders for Hard Input LDPC Decoding on Multi-core Devices	2022	Gal, on Bertrand Le
Efficient Software and Hardware Implementations of a QCSP Communication System	2022	Monière, Camille
DL-CapsNet: A Deep and Light Capsule Network	2022	Shirt, Pouva
Comparative Study of Scheduling a Convolutional Neural Network on Multicore MCU	2022	Dobiáš, Petr
Fixed-Point Code Synthesis Based on Constraint Generation	2022	Bessai, Sofiane
Exploring Fully Convolutional Networks for the Segmentation of Hyperspectral Imaging Applied to Advanced Driver Assistance Systems	2022	Gutierrez-Zaballa, Jon
An Adaptable Cognitive Microcontroller Node for Fitness Activity Recognition	2022	Scrugli, Matteo Antonio
Influence of Dataflow Graph Moldable Parameters on Optimization Criteria	2022	Honorat, Alexandre
Low Latency Architecture Design for Decoding 5G NR Polar Codes	2022	Mouhoubi, Oualid
Dynamic Pruning for Parsimonious CNN Inference on Embedded Systems	2022	Busia, Paola
QoS Aware Design-Time/Run-Time Manager for FPGA-Based Embedded System	2022	Duhamel, Alexis
Data-Type Assessment for Real-Time Hyperspectral Classification in Medical Imaging	2022	Villa, Manuel
Towards Real-Time and Energy Efficient Siamese Tracking A Hardware-Software Approach	2022	Przewlocka-Rus, Dominika