7 citations · 9 across the 5 of their papers we have counts for
5 papers
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks
Xi Xie, Hongwu Peng, Amit Hasan +7
Graph Convolutional Networks (GCNs) are pivotal in extracting latent information from graph data across various domains, yet their acceleration on mainstream GPUs is challenged by…
Towards Real-Time Temporal Graph Learning
Deniz Gurevin, Mohsin Shan, Tong Geng +3
In recent years, graph representation learning has gained significant popularity, which aims to generate node embeddings that capture features of graphs. One of the methods to achi…
Secure Remote Attestation with Strong Key Insulation Guarantees
Deniz Gurevin, Chenglu Jin, Phuong Ha Nguyen +2
Recent years have witnessed a trend of secure processor design in both academia and industry. Secure processors with hardware-enforced isolation can be a solid foundation of cloud…
IRONHIDE: A Secure Multicore that Efficiently Mitigates Microarchitecture State Attacks for Interactive Applications
Hamza Omar, Omer Khan
Microprocessors enable aggressive hardware virtualization by means of which multiple processes temporally execute on the system. These security-critical and ordinary processes inte…
Exploiting the Tradeoff between Program Accuracy and Soft-error Resiliency Overhead for Machine Learning Workloads
Qingchuan Shi, Hamza Omar, Omer Khan
To protect multicores from soft-error perturbations, resiliency schemes have been developed with high coverage but high power and performance overheads. Emerging safety-critical ma…