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08/16/2023
HyperSNN: A new efficient and robust deep learning model for resource constrained control applications
In light of the increasing adoption of edge computing in areas such as i...
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05/09/2023
DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs
Brain-inspired spiking neural networks (SNNs) replace the multiply-accum...
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04/14/2023
LightRW: FPGA Accelerated Graph Dynamic Random Walks
Graph dynamic random walks (GDRWs) have recently emerged as a powerful p...
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01/26/2023
Efficient Hyperdimensional Computing
Hyperdimensional computing (HDC) uses binary vectors of high dimensions ...
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11/10/2022
Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer Spiking Neural Networks based on Spike-Timing-Dependent Plasticity
Spiking neural networks (SNN) are a viable alternative to conventional a...
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10/27/2022
Low Latency Conversion of Artificial Neural Network Models to Rate-encoded Spiking Neural Networks
Spiking neural networks (SNNs) are well suited for resource-constrained ...
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03/05/2022
ReGraph: Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines
The use of FPGAs for efficient graph processing has attracted significan...
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12/01/2021
Optimizing for In-memory Deep Learning with Emerging Memory Technology
In-memory deep learning computes neural network models where they are st...
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05/25/2021
DTNN: Energy-efficient Inference with Dendrite Tree Inspired Neural Networks for Edge Vision Applications
Deep neural networks (DNN) have achieved remarkable success in computer ...
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05/20/2021
ThundeRiNG: Generating Multiple Independent Random Number Sequences on FPGAs
In this paper, we propose ThundeRiNG, a resource-efficient and high-thro...
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05/10/2021
Skew-Oblivious Data Routing for Data-Intensive Applications on FPGAs with HLS
FPGAs have become emerging computing infrastructures for accelerating ap...
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11/25/2019
