research
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10/01/2021
Characterizing Concurrency Mechanisms for NVIDIA GPUs under Deep Learning Workloads
We investigate the performance of the concurrency mechanisms available o...
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04/30/2021
Memory-Efficient Deep Learning Inference in Trusted Execution Environments
This study identifies and proposes techniques to alleviate two key bottl...
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04/07/2020
Characterizing and Modeling Distributed Training with Transient Cloud GPU Servers
Cloud GPU servers have become the de facto way for deep learning practit...
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11/11/2019
DRAB-LOCUS: An Area-Efficient AES Architecture for Hardware Accelerator Co-Location on FPGAs
Advanced Encryption Standard (AES) implementations on Field Programmable...
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10/27/2019
Silhouette: Efficient Intra-Address Space Isolation for Protected Shadow Stacks on Embedded Systems
Embedded systems are increasingly deployed in devices that can have phys...
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08/28/2019
Confidential Deep Learning: Executing Proprietary Models on Untrusted Devices
Performing deep learning on end-user devices provides fast offline infer...
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02/28/2019