arxiv
PublishedApril 27, 2026 at 4:00 AM
da4ml: Distributed Arithmetic for Real-time Neural Networks on FPGAs
Publisher summary· verbatim
arXiv:2507.04535v2 Announce Type: replace-cross Abstract: Neural networks with a latency requirement on the order of microseconds, like the ones used at the CERN Large Hadron Collider, are typically deployed on FPGAs fully unrolled and pipelined. A bottleneck for the deployment of such neural networ
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivFrom Local to Cluster: A Unified Framework for Causal Discovery with Latent Variables11harxivConsequentialist Objectives and Catastrophe11harxivEgoMAGIC- An Egocentric Video Field Medicine Dataset for Training Perception Algorithms11harxivReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation11hOriginally published on arxiv ↗