Introduce some simple benchmarks for rolling window aggregations #17613
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| NVBENCH_BENCH_TYPES(bench_row_fixed_rolling_sum, | ||
| NVBENCH_TYPE_AXES(nvbench::type_list<std::int32_t, double>)) | ||
| .set_name("row_fixed_rolling_sum") | ||
| .add_int64_power_of_two_axis("num_rows", {14, 22, 28}) |
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nit: Is there any reason for choice of these numbers of num_rows? or just random.
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Smallish, mediumish, and largeish. But other than that, not particularly attached to them.
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/merge |
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Description
Previously we did not have any benchmarks for rolling aggregations. Introduce some, so we can measure the effects of any performance improvements we might make.
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