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Sibyl: Forecasting Time-Evolving Query Workloads
Drawing insights from real-workloads, we propose template-based featurization techniques and develop a stacked-LSTM with an encoder-decoder architecture for accurate forecasting of query workloads.
GEqO: ML-Accelerated Semantic Equivalence Detection
Detecting common computation is the first and key step for reducing this computational redundancy.
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