{
  "schema": "aner.native-parallel-benchmark/1",
  "recorded_at": "2026-10-24T19:54:14.309946+00:00",
  "warmups_per_mode": 1,
  "repetitions": 5,
  "task_body_sha256": "2130fff4050088006864eae5be01942a30a179d9ebdcf3107f1c72a5f108a766",
  "dimensions": {
    "iterations": 64,
    "steps_per_iteration": 5000,
    "trajectory_steps": 320000,
    "output_shape": [
      64,
      2
    ]
  },
  "seed": 2026,
  "precision": {
    "storage": "Float64",
    "arithmetic": "Float64",
    "accumulation": "Float64 scalar recurrence; no cross-task reduction",
    "policy": "strict; no fast math; FP contraction off"
  },
  "process_timing_scope": "fresh-process wall time including startup, allocations, checks, results, printing and shutdown; interpreter includes parsing/checking; cluster includes launch, handshake, transport and reaping",
  "receipt_timing_scope": "local Executor seconds excludes pool construction/result admission; cluster seconds includes worker launch/handshake/transport/reaping but excludes coordinator result admission and printing; these are not isolated kernel timers",
  "compilation_scope": "source check, generation, CMake configure, compile/link and artifact publication, separate from execution",
  "memory_scope": "no process RSS or physical memory measurement; preserve native logical output/wire counters with their reported scopes",
  "placement": "CPU only; local cluster uses two distinct same-host processes, one admitted CPU slot each",
  "correctness": "exact output values, observation order and global iteration seeds agree across all warmups and repeats",
  "skipped": [],
  "expected_values_and_seeds": [
    "0.5447784258047785",
    "0.0",
    "8831986922157975740",
    "0.5259058678700904",
    "1.0",
    "6716623245884815265",
    "0.2288439927269235",
    "2.0",
    "2934606781335591968",
    "0.30508676208552604",
    "3.0",
    "5013244596247852388",
    "0.4086922019912569",
    "4.0",
    "5983116109392279911",
    "0.4219936163507022",
    "5.0",
    "3128900856979131196",
    "0.2775453177252332",
    "6.0",
    "6600006125325799138",
    "0.2755785066599729",
    "7.0",
    "2130426230480375585",
    "0.43502744849681135",
    "8.0",
    "1457742764097451165",
    "0.2906359075451583",
    "9.0",
    "6525159300061139556",
    "0.5163691277779804",
    "10.0",
    "7348300437886568769",
    "0.22352009688666538",
    "11.0",
    "6300105302509873579",
    "0.2605591373081866",
    "12.0",
    "5521010867991993876",
    "0.24346369348212357",
    "13.0",
    "5452778673540670442",
    "0.22592204707682073",
    "14.0",
    "1203087461177258774",
    "0.38961315952756226",
    "15.0",
    "2950928376305498204",
    "0.5050980694146304",
    "16.0",
    "3263583499936388346",
    "0.46917048192730915",
    "17.0",
    "3431585750786344079",
    "0.2635028644988006",
    "18.0",
    "5805501383729535281",
    "0.24311060007819138",
    "19.0",
    "5370724935094283206",
    "0.20793031464154618",
    "20.0",
    "8330700806814598025",
    "0.2723625106018994",
    "21.0",
    "3046302748425093916",
    "0.3201951578467562",
    "22.0",
    "2474470021043475354",
    "0.4333188755478646",
    "23.0",
    "8102523077939022545",
    "0.18504181859847443",
    "24.0",
    "5532418664063008369",
    "0.25869561760375454",
    "25.0",
    "624585706656837935",
    "0.40272469086281465",
    "26.0",
    "6148802807913623290",
    "0.5270218942212992",
    "27.0",
    "356710256486798615",
    "0.3595729175225421",
    "28.0",
    "2503219342676264114",
    "0.23339053759445066",
    "29.0",
    "1426578416869008198",
    "0.5001079664889277",
    "30.0",
    "3701927643979768882",
    "0.30539925294894843",
    "31.0",
    "8764105746676003946",
    "0.5378648032508386",
    "32.0",
    "6218998407423645718",
    "0.5350176082947197",
    "33.0",
    "9005130752090075656",
    "0.21790099117431372",
    "34.0",
    "8329582784756014368",
    "0.48289676612576216",
    "35.0",
    "1581878088251905137",
    "0.4724905821900178",
    "36.0",
    "4932044006108341406",
    "0.40676162458144405",
    "37.0",
    "7773455530534297994",
    "0.32069103088246603",
    "38.0",
    "764809629509532401",
    "0.35183808476544537",
    "39.0",
    "7748250649983984617",
    "0.3598346991101356",
    "40.0",
    "3241756333753236627",
    "0.5001458739618991",
    "41.0",
    "6673436886116606001",
    "0.2129043020296621",
    "42.0",
    "8265566870101864186",
    "0.22777419798966891",
    "43.0",
    "8288832192590285869",
    "0.2937739696900683",
    "44.0",
    "8709212949840997477",
    "0.2919808667113962",
    "45.0",
    "3714173704776047922",
    "0.1594318617308283",
    "46.0",
    "8400503317975209429",
    "0.16799265827901397",
    "47.0",
    "2750682113449541149",
    "0.20661518490911027",
    "48.0",
    "7147206199838237881",
    "0.4572176294635279",
    "49.0",
    "8363898862866594772",
    "0.1658904958595565",
    "50.0",
    "7531403620481857332",
    "0.21636200475309889",
    "51.0",
    "4976408921081430416",
    "0.4216044457392379",
    "52.0",
    "1377971458073721287",
    "0.31930026810812123",
    "53.0",
    "7954544392027265107",
    "0.28053011256936716",
    "54.0",
    "1460031900363438271",
    "0.48045341007157255",
    "55.0",
    "6907568249137923105",
    "0.24627313527470945",
    "56.0",
    "8974517276471137319",
    "0.47105044038685495",
    "57.0",
    "2688214137837086257",
    "0.4756013302498924",
    "58.0",
    "1996250032638318723",
    "0.18161827895768332",
    "59.0",
    "4203813864475000165",
    "0.43523960372959275",
    "60.0",
    "5407870165738963872",
    "0.43718412191906386",
    "61.0",
    "2712675914811489524",
    "0.41341983412966604",
    "62.0",
    "579297586697855202",
    "0.3974946702875351",
    "63.0",
    "380571243714067816"
  ],
  "identity": {
    "aner_sha256": "f5e0038cb332e1f95ab0239297c522adf863831e489c3df35d670c82f4da5a95",
    "binary_metadata": "Aner 0.0.4\nTarget: macos-arm64\nCPU optimization: Apple silicon M1-M5 compatible\nCPU profile: compatible\nCPU instruction baseline: apple-m1\nRunning CPU: Apple M2 Max\nBuild configuration: Release\nLink-time optimization: disabled\nCompiler: AppleClang 21.0.0.21000334\nNumerical CPU backend: Apple Accelerate (runtime CPU dispatch)\nC++ required baseline: C++20\nC++ active language mode: 202002\nC++ standard library: libc++ 220106\nC++20 feature-test observations: __cpp_lib_span=202002 __cpp_lib_bit_cast=201806 __cpp_lib_jthread=201911 __cpp_lib_atomic_wait=201907 __cpp_lib_atomic_ref=201806\nC++26 feature-test observations (current mode; 0=not advertised): __cpp_lib_simd=0 __cpp_lib_inplace_vector=0 __cpp_lib_senders=0 __cpp_impl_reflection=0 __cpp_contracts=0\nC++26 adoption: disabled; observations do not enable features\n",
    "inventory": {
      "schema": "aner.parallel-inventory/1",
      "target": "macos-arm64",
      "source_sha256": "6eb69398daef95790e31cfde0277200b2d5779f556c38625f0c40c56795990f9",
      "logical_cpu_slots": 12,
      "effective_cpu_slots": 12,
      "automatic_workers": 12,
      "physical_cpu_slots": 12,
      "affinity_slots": null,
      "quota_slots": null,
      "gpu_parallel_tasks": false,
      "distributed_neural_training": true,
      "distributed_neural_transport": "portable-host-buffers",
      "analytic_training": true,
      "notes": [
        "macOS visible physical/logical CPU budget; per-process affinity/quota discovery unavailable",
        "Apple CPU core throughput may differ; explicit worker limits and measured scaling are recommended",
        "Native task kernels use one execution slot each; no nested numerical provider calls are made",
        "Aner does not pin worker threads: worker counts are admission limits, and the OS may time-share or migrate threads across eligible logical CPUs"
      ]
    },
    "logical_cpus": 12,
    "harness_sha256": "d42615761cd21aaa7a9542830b48bfecda36569a2ffd60c0fcc60c010b7929eb",
    "implementation_sha256": {
      "src/native_compiler.cpp": "adfd3c231d43fc18cafb3b84de6d6acfa061da9b890217ceae711e61f76454b0",
      "src/native_parallel.cpp": "b6407c7223e07873e35d4d6f004416f26af6dd47f590e34f4ed8f258f88135b7",
      "src/native_runtime.cpp": "61babd1dda73df4cc396f5c4803fde4d0a2e39b9c491d0744e2e5461ba27e5a3",
      "include/aner/native_parallel.hpp": "634c5cc2cd922ab082eaceb8c59a87068a64d9a97a005182660896bc29fa77c2",
      "include/aner/native_runtime.hpp": "a0154f861dc1a3401d5f6686d4c90fee1db150eb9e64bf5d861ce82267acb739",
      "src/parallel.cpp": "9e6d226b415322aae21578c0fa7471e8b7233a85128816eb8886a503239bf594",
      "src/parallel_output.cpp": "0cb3454b9effd54d3907ac8932377c34f96c72c15c2b1ea6e17f10c97eee20d4",
      "src/parallel_repeat.cpp": "8ec8d65af5d62c61e35cb941918f2190d5b08111625818620a15d993790ecf8a",
      "src/parallel_process.cpp": "b45e504fae22b142407e4e0d8ecf7997aa84cb18d331642f87031e4cf94d5cdf",
      "src/random_sampling.cpp": "555c86da28971292eea88bb7c8d860bad2c077ff9295d826b044b3d35502f610",
      "CMakeLists.txt": "0ce3e71aa640321e4374cbceeaf156447f81cd9f8cb712763678f7aeada97d87"
    },
    "host": {
      "system": "Darwin",
      "release": "25.6.0",
      "machine": "arm64"
    }
  },
  "startup": {
    "source_sha256": "0b4a82039ef0f6758ebe01370e28afd40c737a3bd15ba9bdc368ec08da60082d",
    "executable_sha256": "e8e18e7245403273006c125dc6cf78a0220bbd1795a2bd2f6a4c34c3c1f94f6f",
    "compilation_seconds": 2.3503963749999457,
    "process_wall_seconds": {
      "samples": [
        0.008435125000687549,
        0.007059957999445032,
        0.008027583000512095,
        0.006619125000725035,
        0.0073143749996233964
      ],
      "median": 0.0073143749996233964,
      "minimum": 0.006619125000725035,
      "maximum": 0.008435125000687549,
      "median_absolute_deviation": 0.0006952499988983618
    },
    "scope": "separate print(0) native source; never subtracted as a universal constant"
  },
  "sources": {
    "local_1": {
      "source_sha256": "597900e0368880fdf90ec0c9f130dc2a284a5c2cb2218c9793ab084751ef536d",
      "generated_cpp_sha256": "71c7c8b96120be633a465784c307a33b05a25d07ff9c40826315f0257287c949",
      "executable_sha256": "c72c2364e934fe997f83bf88f2c5ac0e98e3547656c829014f9890b2d6ba0d7f",
      "compilation_seconds": 2.3456893330003368,
      "native_info": {
        "schema": "aner.native-program/2",
        "program_identity": "a1b71d241d27a2bf675129d235dd4ea613c6e99c739c2b27995cf7728e941a1e",
        "source_sha256": "597900e0368880fdf90ec0c9f130dc2a284a5c2cb2218c9793ab084751ef536d",
        "runtime_implementation_sha256": "5060e58db76068e023f2778227ba61dac329a390995b02458b4e3230f741efd7",
        "native_abi": "native-subset-v2",
        "parallel_protocol": "ANERNATIVE/1",
        "language": "C++20",
        "numerical_policy": "strict; no fast math; contraction off",
        "compiler": "AppleClang 21.0.0.21000334",
        "target": "Darwin-arm64",
        "capabilities": {
          "local_parallel": true,
          "process_cluster": true,
          "typed_outputs": true,
          "scalar_parameters": true,
          "addressed_random": true
        },
        "task_registry": [
          {
            "id": 0,
            "name": "trajectory",
            "dtype": "Float64"
          }
        ]
      },
      "source_name": "local_1.aner",
      "source_code": "import aner.parallel\nimport aner.random\nfn trajectory(parameters: List, iteration: Int64, seed: Int64, output: OutputRegion<Float64>) {\n    let steps = cast<Int64>(parameters.get(0))\n    let input = random.uniform(seed, 0) * 0.0001\n    var state = 0.25\n    for step in Range(steps) { state = state * 0.9999 + input }\n    output[0] = state\n    output[1] = Float64(iteration)\n}\nlet result = parallel.repeat(64, trajectory, List(5000), output_shape: List(2), execution: parallel.local(1), seed: 2026)\nprint(\"ANER_NATIVE_PARALLEL_BENCHMARK/1\")\nfor iteration in Range(result.rows()) {\n    print(result[iteration, 0]); print(result[iteration, 1]); print(result.seed(iteration))\n}\nprint(result.seconds()); print(result.summary())\n",
      "build_receipt": {
        "schema": "aner.native-build/1",
        "program_identity": "a1b71d241d27a2bf675129d235dd4ea613c6e99c739c2b27995cf7728e941a1e",
        "source_sha256": "597900e0368880fdf90ec0c9f130dc2a284a5c2cb2218c9793ab084751ef536d",
        "runtime_implementation_sha256": "5060e58db76068e023f2778227ba61dac329a390995b02458b4e3230f741efd7",
        "native_abi": "native-subset-v2",
        "parallel_protocol": "ANERNATIVE/1",
        "language": "C++20",
        "numerical_policy": "strict; no fast math; contraction off",
        "compiler": "AppleClang 21.0.0.21000334",
        "target": "Darwin-arm64",
        "capabilities": {
          "local_parallel": true,
          "process_cluster": true,
          "typed_outputs": true,
          "scalar_parameters": true,
          "addressed_random": true
        },
        "task_registry": [
          {
            "id": 0,
            "name": "trajectory",
            "dtype": "Float64"
          }
        ],
        "runtime_configuration": "Release",
        "common_compiler_flags": "",
        "program_schema": "aner.native-program/2",
        "generated_cpp_sha256": "71c7c8b96120be633a465784c307a33b05a25d07ff9c40826315f0257287c949",
        "cpu_profile": "apple-m1",
        "active_language": 202002,
        "standard_library": "libc++",
        "standard_library_version": 220106
      }
    },
    "local_2": {
      "source_sha256": "e05c6b156732294c0858600d2c32d55ea16f29d4761d91e0a4a346a5bda8870b",
      "generated_cpp_sha256": "3a45ebab47224848184c86beeccc4701e966f453e46f3e1800d7d189fe79d849",
      "executable_sha256": "e0a499fea96e1d9c4793cc9e1f43bcda36493a0962b52107fe02c6fb7cdcd64d",
      "compilation_seconds": 2.3155564999997296,
      "native_info": {
        "schema": "aner.native-program/2",
        "program_identity": "829c76b306aa132a2823f22e21499ba0e982df30122df530a66c271cc1e8d954",
        "source_sha256": "e05c6b156732294c0858600d2c32d55ea16f29d4761d91e0a4a346a5bda8870b",
        "runtime_implementation_sha256": "5060e58db76068e023f2778227ba61dac329a390995b02458b4e3230f741efd7",
        "native_abi": "native-subset-v2",
        "parallel_protocol": "ANERNATIVE/1",
        "language": "C++20",
        "numerical_policy": "strict; no fast math; contraction off",
        "compiler": "AppleClang 21.0.0.21000334",
        "target": "Darwin-arm64",
        "capabilities": {
          "local_parallel": true,
          "process_cluster": true,
          "typed_outputs": true,
          "scalar_parameters": true,
          "addressed_random": true
        },
        "task_registry": [
          {
            "id": 0,
            "name": "trajectory",
            "dtype": "Float64"
          }
        ]
      },
      "source_name": "local_2.aner",
      "source_code": "import aner.parallel\nimport aner.random\nfn trajectory(parameters: List, iteration: Int64, seed: Int64, output: OutputRegion<Float64>) {\n    let steps = cast<Int64>(parameters.get(0))\n    let input = random.uniform(seed, 0) * 0.0001\n    var state = 0.25\n    for step in Range(steps) { state = state * 0.9999 + input }\n    output[0] = state\n    output[1] = Float64(iteration)\n}\nlet result = parallel.repeat(64, trajectory, List(5000), output_shape: List(2), execution: parallel.local(2), seed: 2026)\nprint(\"ANER_NATIVE_PARALLEL_BENCHMARK/1\")\nfor iteration in Range(result.rows()) {\n    print(result[iteration, 0]); print(result[iteration, 1]); print(result.seed(iteration))\n}\nprint(result.seconds()); print(result.summary())\n",
      "build_receipt": {
        "schema": "aner.native-build/1",
        "program_identity": "829c76b306aa132a2823f22e21499ba0e982df30122df530a66c271cc1e8d954",
        "source_sha256": "e05c6b156732294c0858600d2c32d55ea16f29d4761d91e0a4a346a5bda8870b",
        "runtime_implementation_sha256": "5060e58db76068e023f2778227ba61dac329a390995b02458b4e3230f741efd7",
        "native_abi": "native-subset-v2",
        "parallel_protocol": "ANERNATIVE/1",
        "language": "C++20",
        "numerical_policy": "strict; no fast math; contraction off",
        "compiler": "AppleClang 21.0.0.21000334",
        "target": "Darwin-arm64",
        "capabilities": {
          "local_parallel": true,
          "process_cluster": true,
          "typed_outputs": true,
          "scalar_parameters": true,
          "addressed_random": true
        },
        "task_registry": [
          {
            "id": 0,
            "name": "trajectory",
            "dtype": "Float64"
          }
        ],
        "runtime_configuration": "Release",
        "common_compiler_flags": "",
        "program_schema": "aner.native-program/2",
        "generated_cpp_sha256": "3a45ebab47224848184c86beeccc4701e966f453e46f3e1800d7d189fe79d849",
        "cpu_profile": "apple-m1",
        "active_language": 202002,
        "standard_library": "libc++",
        "standard_library_version": 220106
      }
    },
    "cluster_2": {
      "source_sha256": "bfaec40340660c147ccb02124477d54180410f71d8c78f9a08eca7819e1197fa",
      "generated_cpp_sha256": "c884e9e9cd3f39138c49ec70641e582c8996547a5580fb86f3d9420cd694b98c",
      "executable_sha256": "3489d22e6a3bf7cbe11b07dc508e756b8ecba678f7be830de08ce7f8dce45155",
      "compilation_seconds": 2.3045687499998166,
      "native_info": {
        "schema": "aner.native-program/2",
        "program_identity": "bb72f5f98d162572fba878585f5c1eb9e33bcab66fb17414d653e5b5f9f37020",
        "source_sha256": "bfaec40340660c147ccb02124477d54180410f71d8c78f9a08eca7819e1197fa",
        "runtime_implementation_sha256": "5060e58db76068e023f2778227ba61dac329a390995b02458b4e3230f741efd7",
        "native_abi": "native-subset-v2",
        "parallel_protocol": "ANERNATIVE/1",
        "language": "C++20",
        "numerical_policy": "strict; no fast math; contraction off",
        "compiler": "AppleClang 21.0.0.21000334",
        "target": "Darwin-arm64",
        "capabilities": {
          "local_parallel": true,
          "process_cluster": true,
          "typed_outputs": true,
          "scalar_parameters": true,
          "addressed_random": true
        },
        "task_registry": [
          {
            "id": 0,
            "name": "trajectory",
            "dtype": "Float64"
          }
        ]
      },
      "source_name": "cluster_2.aner",
      "source_code": "import aner.parallel\nimport aner.random\nfn trajectory(parameters: List, iteration: Int64, seed: Int64, output: OutputRegion<Float64>) {\n    let steps = cast<Int64>(parameters.get(0))\n    let input = random.uniform(seed, 0) * 0.0001\n    var state = 0.25\n    for step in Range(steps) { state = state * 0.9999 + input }\n    output[0] = state\n    output[1] = Float64(iteration)\n}\nlet result = parallel.repeat(64, trajectory, List(5000), output_shape: List(2), execution: parallel.cluster(\"native-benchmark.cluster\"), seed: 2026)\nprint(\"ANER_NATIVE_PARALLEL_BENCHMARK/1\")\nfor iteration in Range(result.rows()) {\n    print(result[iteration, 0]); print(result[iteration, 1]); print(result.seed(iteration))\n}\nprint(result.seconds()); print(result.summary())\n",
      "build_receipt": {
        "schema": "aner.native-build/1",
        "program_identity": "bb72f5f98d162572fba878585f5c1eb9e33bcab66fb17414d653e5b5f9f37020",
        "source_sha256": "bfaec40340660c147ccb02124477d54180410f71d8c78f9a08eca7819e1197fa",
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