FPGA-accelerated SpeckleNN with SNL for real-time X-ray single-particle imaging

FPGA-accelerated SpeckleNN with SNL for real-time X-ray single-particle imaging

We present the implementation of a specialized version of our previously published unified embedding model, SpeckleNN, for real-time speckle pattern classification in X-ray Single-Particle Imaging (SPI), using the SLAC Neural Network Library (SNL) on an FPGA platform. This hardware realization trans...

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Bibliographic Details
Main Authors: Abhilasha Dave, Cong Wang, James Russell, Ryan Herbst, Jana Thayer
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in High Performance Computing
Subjects:
FPGA
machine learning
XFEL
SPI
SpeckleNN
GPU
Online Access:https://www.frontiersin.org/articles/10.3389/fhpcp.2025.1520151/full
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