config-optimizer

To find the best Sirius configuration for TPC-H workloads, provide a baseline configuration and target dataset location, then run the optimization workflow to sweep settings and discover optimal tuning parameters.

You can tune key Sirius settings including threading, cache, and batch sizes to explore performance across configurations, which helps reduce query latency and improve GPU utilization for TPC-H benchmarks.

Yes, Sirius configuration optimization can be applied across multiple TPC-H scale factors, allowing you to benchmark baselines, sweep configurations, and report results across different datasets and hardware variations.

The best way to benchmark baseline Sirius performance is to apply the structured optimization workflow, which guides you through baseline benchmarking, configuration space exploration, and final reporting across dataset and hardware variations.

You need to provide an existing baseline Sirius configuration and the target TPC-H dataset location to start the optimization workflow and discover the optimal settings for your specific scale factor.

The Sirius configuration optimization workflow handles reporting by documenting results across datasets and hardware variations, applying automated testing prompts to guide decisions during configuration space exploration.