rule4ml: an open-source tool for resource utilization and latency estimation for ML models on FPGA

Implementing machine learning (ML) models on field-programmable gate arrays (FPGAs) is becoming increasingly popular across various domains as a low-latency and low-power solution that helps manage large data rates generated by continuously improving detectors. However, developing ML models for FPGA...

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書誌詳細

主要な著者:	Mohammad Mehdi Rahimifar, Hamza Ezzaoui Rahali, Audrey C Therrien
フォーマット:	Artigo
言語:	Inglês
出版事項:	IOP Publishing 2025-01-01
シリーズ:	Machine Learning: Science and Technology
主題:	machine learning deep learning neural networks FPGA optimization EdgeML
オンライン･アクセス:	https://doi.org/10.1088/2632-2153/ada71c
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