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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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07/24/2023
HiHGNN: Accelerating HGNNs through Parallelism and Data Reusability Exploitation
Heterogeneous graph neural networks (HGNNs) have emerged as powerful alg...
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05/19/2023
Strix: An End-to-End Streaming Architecture with Two-Level Ciphertext Batching for Fully Homomorphic Encryption with Programmable Bootstrapping
Homomorphic encryption (HE) enables computations on encrypted data by co...
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03/10/2023
A marginal structural model for normal tissue complication probability
The goal of radiation therapy for cancer is to deliver prescribed radiat...
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02/23/2023
Hera: A Heterogeneity-Aware Multi-Tenant Inference Server for Personalized Recommendations
While providing low latency is a fundamental requirement in deploying re...
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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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06/22/2022
Answer Fast: Accelerating BERT on the Tensor Streaming Processor
Transformers have become a predominant machine learning workload, they a...
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05/02/2022
ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse
Homomorphic Encryption (HE) is one of the most promising post-quantum cr...
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12/31/2021
BTS: An Accelerator for Bootstrappable Fully Homomorphic Encryption
Homomorphic encryption (HE) enables the secure offloading of computation...
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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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07/08/2020
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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03/20/2020
Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems
Large-scale training is important to ensure high performance and accurac...
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11/15/2019
NeuMMU: Architectural Support for Efficient Address Translations in Neural Processing Units
To satisfy the compute and memory demands of deep neural networks, neura...
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07/23/2019
LYTNet: A Convolutional Neural Network for Real-Time Pedestrian Traffic Lights and Zebra Crossing Recognition for the Visually Impaired
Currently, the visually impaired rely on either a sighted human, guide d...
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10/15/2018