Accel-NASBench: A Sustainable Benchmark for Accelerator-Aware Neural Architecture Search

The authors present a technique to efficiently construct a realistic neural architecture search (NAS) benchmark for the large-scale ImageNet2012 dataset, combined with performance metrics for various hardware accelerators including GPUs, TPUs, and FPGAs.