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mesh-normal-scalar correctly fills sequential values in the output for triangle cone function, but mesh-normal-vector accidentally reuses the loop index, which results in writes to every third index of the array (1, 4, etc.). This is both slower (as the table turns into a hash map), and incorrect, especially as we have a scalar version of the benchmark that does the right thing. Note: there's a bunch of inefficiencies in the benchmark code that I have not fixed (around field access mostly, e.g. writing to `v.n` and then immediately reading it again). These are not ideal for performance, but they can be valuable to keep as is because this redundancy is common in real-world code, and it would be nice to see codegen optimizations eliminating most of that overhead. This one, however, is a straight up bug, and sparse arrays should not really be the thing this benchmark hits. |
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| .. | ||
| gc | ||
| micro_tests | ||
| other | ||
| tests | ||
| bench_support.lua | ||
| bench.py | ||
| color.py | ||
| influxbench.py | ||
| install.bat | ||
| install.sh | ||
| measure_time.py | ||
| tabulate.py | ||