SNAC-Pack automates neural architecture search for FPGAs

Researchers have developed SNAC-Pack, an open-source framework designed to automate the process of neural architecture search (NAS) specifically for FPGAs. This package addresses the limitations of existing NAS methods by considering a multi-dimensional hardware budget beyond simple accuracy or proxy metrics. SNAC-Pack employs a multi-objective global search and a hardware surrogate model to estimate resource utilization and latency, significantly reducing the time and effort required for FPGA deployment. AI

IMPACT Automates hardware-aware neural architecture search for FPGAs, accelerating deployment for specialized AI tasks.

RANK_REASON The cluster contains a research paper detailing a new framework for neural architecture search. [lever_c_demoted from research: ic=1 ai=1.0]

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• FPGA
• hls4ml
• Large Hadron Collider
• Optuna
• SNAC-Pack

• paper
• product
• infra

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