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09/20/2023
GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption
Fully Homomorphic Encryption (FHE) enables the processing of encrypted d...
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01/30/2023
Thought Bubbles: A Proxy into Players' Mental Model Development
Studying mental models has recently received more attention, aiming to u...
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09/02/2022
Accelerating Polynomial Multiplication for Homomorphic Encryption on GPUs
Homomorphic Encryption (HE) enables users to securely outsource both the...
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01/07/2022
To Trust or to Stockpile: Modeling Human-Simulation Interaction in Supply Chain Shortages
Understanding decision-making in dynamic and complex settings is a chall...
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10/01/2021
SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference
Edge computing devices inherently face tight resource constraints, which...
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04/02/2021
Daisen: A Framework for Visualizing Detailed GPU Execution
Graphics Processing Units (GPUs) have been widely used to accelerate art...
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09/23/2020
Using Undersampling with Ensemble Learning to Identify Factors Contributing to Preterm Birth
In this paper, we propose Ensemble Learning models to identify factors c...
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08/05/2020
MGPU-TSM: A Multi-GPU System with Truly Shared Memory
The sizes of GPU applications are rapidly growing. They are exhausting t...
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07/31/2020
Hardware/Software Obfuscation against Timing Side-channel Attack on a GPU
GPUs are increasingly being used in security applications, especially fo...
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07/08/2020
HALCONE : A Hardware-Level Timestamp-based Cache Coherence Scheme for Multi-GPU systems
While multi-GPU (MGPU) systems are extremely popular for compute-intensi...
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06/02/2020
A Smart Background Scheduler for Storage Systems
In today's enterprise storage systems, supported data services such as s...
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11/26/2019
Summarizing CPU and GPU Design Trends with Product Data
Moore's Law and Dennard Scaling have guided the semiconductor industry f...
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09/08/2019
Iterative Spectral Method for Alternative Clustering
Given a dataset and an existing clustering as input, alternative cluster...
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10/15/2018
MGSim + MGMark: A Framework for Multi-GPU System Research
The rapidly growing popularity and scale of data-parallel workloads dema...
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09/13/2018
Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks
Deep neural networks (DNNs) are known vulnerable to adversarial attacks....
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11/09/2017
