jhorstmann opened a new pull request, #5096:
URL: https://github.com/apache/arrow-rs/pull/5096
# Which issue does this PR close?
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Preparation for #5032.
# Rationale for this change
To better evaluate a autovectorized version of the aggregation kernels we
should benchmark more data types and not only f32.
I also noticed that because of the relatively small batch size, the final
reduction step of multi-lane aggregations has a large impact on the total
timings. The PR increases the batch size to 64k, which matches the batch size
used in the arithmetic and comparison benchmarks.
# What changes are included in this PR?
- Add benchmarks for float64 and integer types
- Measure throughput
- Increase batch size so that the final reduction step has less of an impact
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# Are there any user-facing changes?
no
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