97 citations · 118 across the 10 of their papers we have counts for
12 papers
CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion
Yifan Zhang, Arnav Vaibhav Malawade, Xiaofang Zhang +4
Autonomous systems (AS) are systems that can adapt and change their behavior in response to unanticipated events and include systems such as aerial drones, autonomous vehicles, and…
Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection
Junyao Wang, Hanning Chen, Mariam Issa +2
Cybersecurity has emerged as a critical challenge for the industry. With the large complexity of the security landscape, sophisticated and costly deep learning models often fail to…
DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification
Junyao Wang, Sitao Huang, Mohsen Imani
Brain-inspired hyperdimensional computing (HDC) has been recently considered a promising learning approach for resource-constrained devices. However, existing approaches use static…
Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures
Kun Wu, Mert Hidayetoğlu, Xiang Song +4
Relational graph neural networks (RGNNs) are graph neural networks with dedicated structures for modeling the different types of nodes and edges in heterogeneous graphs. While RGNN…
Sgap: Towards Efficient Sparse Tensor Algebra Compilation for GPU
Genghan Zhang, Yuetong Zhao, Yanting Tao +6
Sparse compiler is a promising solution for sparse tensor algebra optimization. In compiler implementation, reduction in sparse-dense hybrid algebra plays a key role in performance…
Chimera: A Hybrid Machine Learning Driven Multi-Objective Design Space Exploration Tool for FPGA High-Level Synthesis
Mang Yu, Sitao Huang, Deming Chen
In recent years, hardware accelerators based on field-programmable gate arrays (FPGAs) have been widely adopted, thanks to FPGAs' extraordinary flexibility. However, with the high…