Daniel Gerlinghoff

According to our database, Daniel Gerlinghoff authored at least 5 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Table-Lookup MAC: Scalable Processing of Quantised Neural Networks in FPGA Soft Logic.

Daniel Gerlinghoff, Benjamin Chen Ming Choong, Rick Siow Mong Goh, Weng-Fai Wong, Tao Luo

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

2023

Desire backpropagation: A lightweight training algorithm for multi-layer spiking neural networks based on spike-timing-dependent plasticity.

Daniel Gerlinghoff, Tao Luo, Rick Siow Mong Goh, Weng-Fai Wong

Neurocomputing, December, 2023

DeepFire2: A Convolutional Spiking Neural Network Accelerator on FPGAs.

Myat Thu Linn Aung, Daniel Gerlinghoff, Chuping Qu, Liwei Yang, Tian Huang, Rick Siow Mong Goh, Tao Luo, Weng-Fai Wong

IEEE Trans. Computers, October, 2023

2022

E3NE: An End-to-End Framework for Accelerating Spiking Neural Networks With Emerging Neural Encoding on FPGAs.

Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo

IEEE Trans. Parallel Distributed Syst., 2022

A Resource-efficient Spiking Neural Network Accelerator Supporting Emerging Neural Encoding.

Daniel Gerlinghoff, Zhehui Wang, Xiaozhe Gu, Rick Siow Mong Goh, Tao Luo

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022