MetaDSE combines MAML meta-training with a workload-adaptive architectural mask to predict CPU IPC and power for unseen workloads from a handful of samples, outperforming transfer-learning baselines on IPC.
Learn- ing pareto-frontier resource management policies for heterogeneous socs: An information-theoretic approach,
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MetaDSE: A Few-shot Meta-learning Framework for Cross-workload CPU Design Space Exploration
MetaDSE combines MAML meta-training with a workload-adaptive architectural mask to predict CPU IPC and power for unseen workloads from a handful of samples, outperforming transfer-learning baselines on IPC.