Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval. - Zhengchun Liu; Ahsan Ali; Peter Kenesei; Antonino Miceli; Hemant Sharma; Nicholas Schwarz; Dennis Trujillo; Hyunseung Yoo; Ryan N. Coffee; Naoufal Layad; Jana Thayer; Ryan Herbst; et al. (XLOOP@SC, 2021)

Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval. - Zhengchun Liu; Ahsan Ali; Peter Kenesei; Antonino Miceli; Hemant Sharma; Nicholas Schwarz; Dennis Trujillo; Hyunseung Yoo; Ryan N. Coffee; Ryan Herbst; Jana Thayer; Chun Hong Yoon; et al. (CoRR, 2021)

Implementation of a Framework for Deploying AI Inference Engines in FPGAs. - Ryan Herbst; Ryan N. Coffee; Nathan Fronk; Kukhee Kim; Kuktae Kim; Larry Ruckman; J. J. Russell (SMC, 2022)

Embedded FPGA Developments in 130nm and 28nm CMOS for Machine Learning in Particle Detector Readout. - Julia Gonski; Aseem Gupta; Haoyi Jia; Hyunjoon Kim; Lorenzo Rota; Larry Ruckman; Angelo Dragone; Ryan Herbst (CoRR, 2024)

Analysis of Hardware Synthesis Strategies for Machine Learning in Collider Trigger and Data Acquisition. - Haoyi Jia; Abhilasha Dave; Julia Gonski; Ryan Herbst (CoRR, 2024)

FPGA-Accelerated SpeckleNN with SNL for Real-time X-ray Single-Particle Imaging. - Abhilasha Dave; Cong Wang; James Russell; Ryan Herbst; Jana Thayer (CoRR, 2025)

Neural Network Acceleration on MPSoC board: Integrating SLAC's SNL, Rogue Software and Auto-SNL. - Hamza Ezzaoui Rahali; Abhilasha Dave; Larry Ruckman; Mohammad Mehdi Rahimifar; Audrey C. Therrien; James J. Russel; Ryan Herbst (CoRR, 2025)