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08/22/2023
Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks
Graph Convolutional Networks (GCNs) are pivotal in extracting latent inf...
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10/08/2022
Towards Real-Time Temporal Graph Learning
In recent years, graph representation learning has gained significant po...
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09/11/2022
Towards Sparsification of Graph Neural Networks
As real-world graphs expand in size, larger GNN models with billions of ...
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01/05/2022
Secure Remote Attestation with Strong Key Insulation Guarantees
Recent years have witnessed a trend of secure processor design in both a...
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04/29/2019
IRONHIDE: A Secure Multicore that Efficiently Mitigates Microarchitecture State Attacks for Interactive Applications
Microprocessors enable aggressive hardware virtualization by means of wh...
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04/29/2019