research
∙
09/16/2023
A Low-Latency FFT-IFFT Cascade Architecture
This paper addresses the design of a partly-parallel cascaded FFT-IFFT a...
share
research
∙
06/21/2023
NTT-Based Polynomial Modular Multiplication for Homomorphic Encryption: A Tutorial
Homomorphic Encryption (HE) allows any third party to operate on the enc...
research
∙
04/26/2023
Tensor Decomposition for Model Reduction in Neural Networks: A Review
Modern neural networks have revolutionized the fields of computer vision...
research
∙
04/26/2023
SCV-GNN: Sparse Compressed Vector-based Graph Neural Network Aggregation
Graph neural networks (GNNs) have emerged as a powerful tool to process ...
research
∙
03/03/2023
PaReNTT: Low-Latency Parallel Residue Number System and NTT-Based Long Polynomial Modular Multiplication for Homomorphic Encryption
High-speed long polynomial multiplication is important for applications ...
research
∙
08/30/2022
Integral Sampler and Polynomial Multiplication Architecture for Lattice-based Cryptography
With the surge of the powerful quantum computer, lattice-based cryptogra...
research
∙
02/19/2022
Multi-Channel FFT Architectures Designed via Folding and Interleaving
Computing the FFT of a single channel is well understood in the literatu...
research
∙
10/23/2021
Low-Latency VLSI Architectures for Modular Polynomial Multiplication via Fast Filtering and Applications to Lattice-Based Cryptography
This paper presents a low-latency hardware accelerator for modular polyn...
research
∙
08/14/2021
LayerPipe: Accelerating Deep Neural Network Training by Intra-Layer and Inter-Layer Gradient Pipelining and Multiprocessor Scheduling
The time required for training the neural networks increases with size, ...
research
∙
04/23/2020
PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices
Deep neural network (DNN) has emerged as the most important and popular ...
research
∙
04/19/2020
Classification using Hyperdimensional Computing: A Review
Hyperdimensional (HD) computing is built upon its unique data type refer...
research
∙
10/24/2016
Automated OCT Segmentation for Images with DME
This paper presents a novel automated system that segments six sub-retin...
research
∙
03/23/2016
