Nathan Youngblood

According to our database, Nathan Youngblood authored at least 13 papers between 2018 and 2025.

Collaborative distances:

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

2025

LightML: A Photonic Accelerator for Efficient General Purpose Machine Learning.

Liang Liu, Sadra Rahimi Kari, Xin Xin, Nathan Youngblood, Youtao Zhang, Jun Yang

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

2024

OFHE: An Electro-Optical Accelerator for Discretized TFHE.

Mengxin Zheng, Cheng Chu, Qian Lou, Nathan Youngblood, Mo Li, Sajjad Moazeni, Lei Jiang

CoRR, 2024

Leveraging Continuously Differentiable Activation Functions for Learning in Quantized Noisy Environments.

Vivswan Shah, Nathan Youngblood

CoRR, 2024

OFHE: An Electro-Optical Accelerator for Discretized TFHE.

Mengxin Zheng, Cheng Chu, Qian Lou, Nathan Youngblood, Mo Li, Sajjad Moazeni, Lei Jiang

Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design, 2024

2023

In-memory photonic dot-product engine with electrically programmable weight banks.

Wen Zhou, Bowei Dong, Nikolaos Farmakidis, Xuan Li, Nathan Youngblood, Kairan Huang, Yuhan He, C. David Wright, Wolfram H. P. Pernice, Harish Bhaskaran

CoRR, 2023

2022

AnalogVNN: A fully modular framework for modeling and optimizing photonic neural networks.

Vivswan Shah, Nathan Youngblood

CoRR, 2022

2021

Parallel convolutional processing using an integrated photonic tensor core.

Johannes Feldmann, Nathan Youngblood, Maxim Karpov, Helge Gehring, Xuan Li, Maik Stappers, Manuel Le Gallo, Xin Fu, Anton Lukashchuk, Arslan S. Raja, Junqiu Liu, C. David Wright, Abu Sebastian, Tobias J. Kippenberg, Wolfram H. P. Pernice, Harish Bhaskaran

Nat., 2021

All-optical spiking neurosynaptic networks with self-learning capabilities.

Johannes Feldmann, Nathan Youngblood, C. David Wright, Harish Bhaskaran, Wolfram H. P. Pernice

CoRR, 2021

2020

Monadic Pavlovian associative learning in a backpropagation-free photonic network.

James Y. S. Tan, Zengguang Cheng, Xuan Li, Nathan Youngblood, Utku E. Ali, C. David Wright, Wolfram H. P. Pernice, Harish Bhaskaran

CoRR, 2020

Parallel convolution processing using an integrated photonic tensor core.

Johannes Feldmann, Nathan Youngblood, Maxim Karpov, Helge Gehring, Xuan Li, Manuel Le Gallo, Xin Fu, Anton Lukashchuk, Arslan Raja, Junqiu Liu, C. David Wright, Abu Sebastian, Tobias Kippenberg, Wolfram H. P. Pernice, Harish Bhaskaran

CoRR, 2020

LightBulb: A Photonic-Nonvolatile-Memory-based Accelerator for Binarized Convolutional Neural Networks.

Farzaneh Zokaee, Qian Lou, Nathan Youngblood, Weichen Liu, Yiyuan Xie, Lei Jiang

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Integrated Phase-Change Photonics: A Strategy for Merging Communication and Computing.

C. David Wright, Harish Bhaskaran, Wolfram H. P. Pernice, Santiago Garcia-Cuevas Carrillo, Emanuele Gemo, Anna Baldycheva, Zengguang Cheng, Xuan Li, Carlos Ríos, Nathan Youngblood, Johannes Feldmann, Nico Gruhler, Matthias Stegmaier

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019

2018

In-memory computing on a photonic platform.

Carlos Ríos, Nathan Youngblood, Zengguang Cheng, Manuel Le Gallo, Wolfram H. P. Pernice, C. David Wright, Abu Sebastian, Harish Bhaskaran

CoRR, 2018