CGRA4ML: A Framework to Implement Modern Neural Networks for Scientific Edge Computing
G Abarajithan, Z Ma, Z Li, S Koparkar… - arXiv preprint arXiv …, 2024 - arxiv.org
Scientific edge computing increasingly relies on hardware-accelerated neural networks to
implement complex, near-sensor processing at extremely high throughputs and low …
implement complex, near-sensor processing at extremely high throughputs and low …
A Versatile Edge Machine Learning Test Bench for High Bandwidth Instrumentation
Q Wingering, MM Rahimifar… - 2023 IEEE Nuclear …, 2023 - ieeexplore.ieee.org
New scientific experiments and instruments generate large volumes of data that need to be
transferred to storage or processing. Edge machine learning could allow us to reduce the …
transferred to storage or processing. Edge machine learning could allow us to reduce the …
Building Real Time Edge Machine Learning Systems for High Data Rate Acquisition
MM Rahimifar, Q Wingering… - 2023 IEEE Nuclear …, 2023 - ieeexplore.ieee.org
Over the past decade, a developments in radiation and photonic detectors has significantly
improved their resolution, pixel density, sensitivity, and sampling rate. The increase in …
improved their resolution, pixel density, sensitivity, and sampling rate. The increase in …
[PDF][PDF] Traitement et compression de données en temps réel en utilisant l'intelligence artificielle pour des détecteurs à haut débit
B Gouin-Ferland - 2023 - savoirs.usherbrooke.ca
RÉSUMÉ Le SLAC National Accelerator Laboratory démarrera bientôt la prochaine
génération de lasers à électrons libres rayons X; le Linac Coherent Light Source-II (LCLS-II) …
génération de lasers à électrons libres rayons X; le Linac Coherent Light Source-II (LCLS-II) …