Budget-Constrained Multi-Stage Search for Deep Learning Deployment Configurations on Ascend 310B Edge NPU
Deploying deep learning models on edge neural processing units (NPUs) requires selecting multiple compilation and runtime parameters. Exhaustive evaluation is costly, so high-quality configurations must be found within a limited hardware evaluation budget. We propose a budget-constrained, multi-stage search method for...