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Regenerate benchmark data
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‎docs/ops/doc/Benchmarks.rst‎

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This analysis was performed with the following hardware:
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* 2021 Dell OptiPlex 5090 Small Form Factor
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* Intel(R) Core(TM) i7-10700 CPU @ 2.90GHz
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* 64 GB 3200 MHz DDR4 RAM
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* Dell Precision 7770
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* 12th Gen Intel i9-12950HX (24) @ 4.900GHz
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* 32 GB 4800 MT/s DDR5 RAM
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The following software components were used:
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* Ubuntu 22.04.3 LTS
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* OpenJDK Runtime Environment (build 11.0.21) with OpenJDK 64-Bit Server VM (build 11.0.21, mixed mode, sharing)
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* SciJava Incubator commit `57dbbd25 <https://github.com/scijava/incubator/commit/57dbbd253fe9d8947dd2e72ec05c8accff77a7dc>`_
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* Ubuntu 23.10
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* Kernel 6.5.0-26-generic
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* OpenJDK Runtime Environment AdoptOpenJDK (build 11.0.8+10) with OpenJDK 64-Bit Server VM AdoptOpenJDK (build 11.0.8+10, mixed mode)
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* SciJava Incubator commit `77006edc <https://github.com/scijava/incubator/commit/77006edc6a567a08ec5aba39e56fdfab8d79a0b9>`_
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* ImageJ Ops version ``2.0.0``
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All benchmarks are executed using the `Java Microbenchmark Harness <https://github.com/openjdk/jmh>`_, using the following parameters:
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* 2 warmup executions
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* 2 10-second iterations per warm-up execution
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* 1 measurement execution
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* 5 10-second iterations per measurement execution
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* 5 5-second iterations per measurement execution
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Op Matching
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-----------
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* Output buffer creation + static method invocation
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* Output buffer creation + SciJava Ops invocation
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* SciJava Ops invocation using Op adaptation
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The results are shown in **Figure 1**. We find Op execution through the SciJava Ops framework adds a few milliseconds of additional overhead. A few additional milliseconds of overhead are observed when SciJava Ops is additionally tasked with creating an output buffer.
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.. chart:: ../images/BenchmarkMatching.json

‎docs/ops/images/BenchmarkCaching.json‎

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