Hyperdimensional Computing Versus Convolutional Neural Network: Architecture, Performance Analysis, and Hardware Complexity
Author:
Affiliation:
1. Khalifa University,System-on-Chip (SoC) Lab,Electrical Engineering and Computer Science Department,Abu Dhabi,UAE
2. Khalifa University,Department of Aerospace Engineering, and Advanced Research and Innovation Center (ARIC),Abu Dhabi,UAE
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10378847/10378878/10378944.pdf?arnumber=10378944
Reference17 articles.
1. A Survey of Convolutional Neural Networks on Edge with Reconfigurable Computing
2. An Efficient In-Memory Computing Architecture for Image Enhancement in AI Applications
3. ASIC-Based Implementation of Random Spray Retinex Algorithm for Image Enhancement
4. Hyper-Dimensional Computing Challenges and Opportunities for AI Applications
5. ReRAM-Based In-Memory Computing for Search Engine and Neural Network Applications
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1. Advancing Hardware Implementation of Hyperdimensional Computing for Edge Intelligence;2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS);2024-04-22
2. Adapting Spatial Transformer Networks Across Diverse Hardware Platforms: A Comprehensive Implementation Study;2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS);2024-04-22
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