Proposes Tolerance Tiers architecture for MLaaS to let consumers select accuracy-latency trade-offs, shown to outperform single-version deployment on ASR and vision workloads.
Chisel: Reliability-and accuracy-aware opti- mization of approximate computational kernels,
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One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers
Proposes Tolerance Tiers architecture for MLaaS to let consumers select accuracy-latency trade-offs, shown to outperform single-version deployment on ASR and vision workloads.