kawadakk commented on PR #7144:
URL: https://github.com/apache/arrow-rs/pull/7144#issuecomment-2662570792
Here's the result of `cargo bench --bench interleave_kernels` (with
irrelevant test cases omitted; CPU frequencies are now locked to 2 GHz):
```
interleave dict(20, 0.0) 100 [0..100, 100..230, 450..1000]
time: [4.2027 µs 4.2035 µs 4.2043 µs]
change: [-1.0518% -1.0119% -0.9742%] (p = 0.00 <
0.05)
Change within noise threshold.
Found 9 outliers among 100 measurements (9.00%)
2 (2.00%) low mild
7 (7.00%) high mild
interleave dict(20, 0.0) 400 [0..100, 100..230, 450..1000]
time: [10.136 µs 10.142 µs 10.148 µs]
change: [-0.7627% -0.6643% -0.5668%] (p = 0.00 <
0.05)
Change within noise threshold.
Found 4 outliers among 100 measurements (4.00%)
4 (4.00%) high mild
interleave dict(20, 0.0) 1024 [0..100, 100..230, 450..1000]
time: [23.133 µs 23.155 µs 23.177 µs]
change: [+0.3312% +0.4051% +0.4769%] (p = 0.00 <
0.05)
Change within noise threshold.
Found 2 outliers among 100 measurements (2.00%)
2 (2.00%) high mild
interleave dict(20, 0.0) 1024 [0..100, 100..230, 450..1000, 0..1000]
time: [23.069 µs 23.092 µs 23.115 µs]
change: [-0.9958% -0.9284% -0.8580%] (p = 0.00 <
0.05)
Change within noise threshold.
Found 4 outliers among 100 measurements (4.00%)
3 (3.00%) high mild
1 (1.00%) high severe
interleave dict_sparse(20, 0.0) 100 [0..100, 100..230, 450..1000]
time: [4.2292 µs 4.2316 µs 4.2340 µs]
change: [-0.7215% -0.6577% -0.5871%] (p = 0.00 <
0.05)
Change within noise threshold.
Found 3 outliers among 100 measurements (3.00%)
2 (2.00%) high mild
1 (1.00%) high severe
interleave dict_sparse(20, 0.0) 400 [0..100, 100..230, 450..1000]
time: [10.266 µs 10.284 µs 10.303 µs]
change: [+1.6792% +1.8107% +1.9508%] (p = 0.00 <
0.05)
Performance has regressed.
Found 13 outliers among 100 measurements (13.00%)
9 (9.00%) low mild
3 (3.00%) high mild
1 (1.00%) high severe
interleave dict_sparse(20, 0.0) 1024 [0..100, 100..230, 450..1000]
time: [23.093 µs 23.104 µs 23.116 µs]
change: [+0.4904% +0.5596% +0.6294%] (p = 0.00 <
0.05)
Change within noise threshold.
Found 3 outliers among 100 measurements (3.00%)
1 (1.00%) low mild
2 (2.00%) high mild
interleave dict_sparse(20, 0.0) 1024 [0..100, 100..230, 450..1000, 0..1000]
time: [23.207 µs 23.224 µs 23.241 µs]
change: [-0.6322% -0.4640% -0.2996%] (p = 0.00 <
0.05)
Change within noise threshold.
interleave dict_distinct 100
time: [3.4552 µs 3.4567 µs 3.4581 µs]
change: [-4.0231% -3.7210% -3.4131%] (p = 0.00 <
0.05)
Performance has improved.
Found 3 outliers among 100 measurements (3.00%)
2 (2.00%) high mild
1 (1.00%) high severe
interleave dict_distinct 1024
time: [3.4545 µs 3.4556 µs 3.4567 µs]
change: [+1.0769% +1.1664% +1.2568%] (p = 0.00 <
0.05)
Performance has regressed.
Found 2 outliers among 100 measurements (2.00%)
1 (1.00%) high mild
1 (1.00%) high severe
interleave dict_distinct 2048
time: [3.3727 µs 3.3753 µs 3.3784 µs]
change: [-1.9316% -1.8500% -1.7623%] (p = 0.00 <
0.05)
Performance has improved.
```
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