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In an earlier analysis the block-based sketch was significantly faster than the flat (uniform) one. This was independently confirmed by a C# and Go port, who also observed a 2x speed up. However, when recently adding this benchmark to the CI it showed it as a regression. Therefore some implicit compiler optimizations are now explicit, which allows the block-based sketch to match or exceed the flat-based performance. - We no longer rely on escape analysis to optimize away the method scoped arrays (count, index). These should have been stack allocated and broken into their components. - The arrays were meant to break a loop data dependency, but it is now faster to keep that. `Math.min` is a single cycle, branch-free instruction that the OOO pipeline seems to prefer. - `increment` is manually loop unrolled like the flat version, which shows a simiar speed up. - Previously, the flat benchmark version implemented the scaffolding interface directly, was pre-allocated, and the init guard was removed. This gave it a large advantage as it improved inlining, branch prediction, etc. The benchmark is now fair. - For jdk11 the black is always faster by at least 10M ops/s. In jdk23 the speedup only occurs as the table size increases, matching the expected gains from better cache effects. It is marginally slower on the small table size due to indexing differences. The net user effect will be noise since this was not a performance bottleneck due to the cache's overall design.
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examples/coalescing-bulkloader-reactor/gradle/libs.versions.toml
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