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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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09/19/2023
A Blueprint for Precise and Fault-Tolerant Analog Neural Networks
Analog computing has reemerged as a promising avenue for accelerating de...
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06/15/2023
Leveraging Residue Number System for Designing High-Precision Analog Deep Neural Network Accelerators
Achieving high accuracy, while maintaining good energy efficiency, in an...
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02/14/2023
RISE: RISC-V SoC for En/decryption Acceleration on the Edge for Homomorphic Encryption
Today edge devices commonly connect to the cloud to use its storage and ...
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09/05/2022
ProcessorFuzz: Guiding Processor Fuzzing using Control and Status Registers
As the complexity of modern processors has increased over the years, dev...
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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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07/25/2022
FAB: An FPGA-based Accelerator for Bootstrappable Fully Homomorphic Encryption
FHE offers protection to private data on third-party cloud servers by al...
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01/28/2022
Puppeteer: A Random Forest-based Manager for Hardware Prefetchers across the Memory Hierarchy
Over the years, processor throughput has steadily increased. However, th...
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12/13/2021
Does Fully Homomorphic Encryption Need Compute Acceleration?
Fully Homomorphic Encryption (FHE) allows arbitrarily complex computatio...
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09/02/2021
An Electro-Photonic System for Accelerating Deep Neural Networks
The number of parameters in deep neural networks (DNNs) is scaling at ab...
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07/24/2021
Architecting Optically-Controlled Phase Change Memory
Phase Change Memory (PCM) is an attractive candidate for main memory as ...
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12/04/2020
Efficient Sealable Protection Keys for RISC-V
With the continuous increase in the number of software-based attacks, th...
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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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08/01/2020
Custom Tailored Suite of Random Forests for Prefetcher Adaptation
To close the gap between memory and processors, and in turn improve perf...
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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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08/19/2019
CUDA optimized Neural Network predicts blood glucose control from quantified joint mobility and anthropometrics
Neural network training entails heavy computation with obvious bottlenec...
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08/19/2019
The efficacy of various machine learning models for multi-class classification of RNA-seq expression data
Late diagnosis and high costs are key factors that negatively impact the...
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07/30/2019
LEAF-QA: Locate, Encode & Attend for Figure Question Answering
We introduce LEAF-QA, a comprehensive dataset of 250,000 densely annotat...
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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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04/10/2017