Potential of edge machine learning for instrumentation

AC Therrien, B Gouin-Ferland, MM Rahimifar - Applied optics, 2022 - opg.optica.org
New developments in radiation and photonic detectors improve resolution, sensitivity, size,
and rate, all of which contribute to a gigantic increase in the data production rate. Moving …

Data reduction and processing for photon science detectors

D Pennicard, V Rahmani, H Graafsma - Frontiers in physics, 2024 - frontiersin.org
New detectors in photon science experiments produce rapidly-growing volumes of data. For
detector developers, this poses two challenges; firstly, raw data streams from detectors must …

Bridging data center AI systems with edge computing for actionable information retrieval

Z Liu, A Ali, P Kenesei, A Miceli… - 2021 3rd Annual …, 2021 - ieeexplore.ieee.org
Extremely high data rates at modern synchrotron and X-ray free-electron laser light source
beamlines motivate the use of machine learning methods for data reduction, feature …

High-performance computing of real-time and multichannel histograms: A full fpga approach

A Costa, N Corna, F Garzetti, N Lusardi… - IEEE …, 2022 - ieeexplore.ieee.org
In a world heading towards applications, in science and industry, based on big data
processing, the ability to elaborate streams of data is becoming more important every day …

Multi-resolution electron spectrometer array for future free-electron laser experiments

P Walter, A Kamalov, A Gatton, T Driver… - Journal of …, 2021 - journals.iucr.org
The design of an angular array of electron time-of-flight (eToF) spectrometers is reported,
intended for non-invasive spectral, temporal, and polarization characterization of single …

Exploring machine learning to hardware implementations for large data rate x-ray instrumentation

MM Rahimifar, Q Wingering… - Machine Learning …, 2023 - iopscience.iop.org
Over the past decade, innovations in radiation and photonic detectors considerably
improved their resolution, pixel density, sensitivity, and sampling rate, which all contribute to …

fairDMS: Rapid model training by data and model reuse

A Ali, H Sharma, R Kettimuthu… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Extracting actionable information rapidly from data produced by instruments such as the
Linac Coherent Light Source (LCLS-II) and Advanced Photon Source Upgrade (APS-U) is …

Data reduction through optimized scalar quantization for more compact neural networks

B Gouin-Ferland, R Coffee, AC Therrien - Frontiers in Physics, 2022 - frontiersin.org
Raw data generation for several existing and planned large physics experiments now
exceeds TB/s rates, generating untenable data sets in very little time. Those data often …

Hybrid Spatial and Temporal Computing Histogramer in Soft Processor Core of a FPGA Device

E Ronconi, F Garzetti, N Lusardi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Multi-channel data management is crucial in a world where big data processing is
extensively used in research and business. Histogramming is a common technique …

Accelerating data acquisition with FPGA-based edge machine learning: a case study with LCLS-II

MM Rahimifar, Q Wingering… - Machine Learning …, 2024 - iopscience.iop.org
New scientific experiments and instruments generate vast amounts of data that need to be
transferred for storage or further processing, often overwhelming traditional systems. Edge …