New VectorAPI benchmark to accelerate JsonParsing through fast table lookup using Vector.selectFrom API#105
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ionutbalosin merged 2 commits intoionutbalosin:mainfrom Aug 5, 2025
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…lookup using Vector.selectFrom API
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| * - JEP 489: Vector API (Ninth Incubator): https://openjdk.org/jeps/489 | ||
| * - Parsing Gigabytes of JSON per Second : https://arxiv.org/abs/1902.08318 | ||
| */ | ||
| @BenchmarkMode(Mode.Throughput) |
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Could you please use @BenchmarkMode(Mode.AverageTime)?
The main reason is that after all the benchmarks run, I have some additional logic that calculates the geometric mean, which relies on AverageTime and keeps it consistent across all benchmarks.
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Done
Benchmark (size) Mode Cnt Score Error Units
FastJSONCodePointMatchBenchmark.match_avx2 1024 avgt 2 303.377 ns/op
FastJSONCodePointMatchBenchmark.match_avx512 1024 avgt 2 15.549 ns/op
FastJSONCodePointMatchBenchmark.match_scalar 1024 avgt 2 694.167 ns/op
ionutbalosin
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chriswhocodes
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Thanks @chriswhocodes and @ionutbalosin , kindly merge this PR. |
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Benchmark performs fast table lookup to match following JSON structural code points to accelerate JSON parsing scheme described in [1] using two vector selectFrom API[2] added in JDK-24[3]
, -> 0x2c
: -> 0x3a
[ -> 0x5b
] -> 0x5d
{ -> 0x7b
} -> 0x7d
tab, line feed, carriage return -> 0x9, 0xa, 0xd
space -> 0x20
Following are the perfromance numbers on Ryzen 7 7840HS - AVX512 system.
[1] Parsing Gigabytes of JSON per Second : https://arxiv.org/abs/1902.08318
[2] Vector.selectFrom
[3] JEP 489: Vector API (Ninth Incubator): https://openjdk.org/jeps/489