4 papers
Exploring Deep-to-Shallow Transformable Neural Networks for Intelligent Embedded Systems
Xiangzhong Luo, Weichen Liu
Thanks to the evolving network depth, convolutional neural networks (CNNs) have achieved remarkable success across various embedded scenarios, paving the way for ubiquitous embedde…
Coherence-Aware Task Graph Modeling for Realistic Application
Guochu Xiong, Xiangzhong Luo, Weichen Liu
As multicore systems continue to scale, cache coherence has emerged as a critical determinant of system performance, with coherence behavior and task execution closely intertwined,…
Learning Cache Coherence Traffic for NoC Routing Design
Guochu Xiong, Xiangzhong Luo, Weichen Liu
The rapid growth of multi-core systems highlights the need for efficient Network-on-Chip (NoC) design to ensure seamless communication. Cache coherence, essential for data consiste…
Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision
Xiangzhong Luo, Di Liu, Hao Kong +4
Deep neural networks (DNNs) have recently achieved impressive success across a wide range of real-world vision and language processing tasks, spanning from image classification to…