iiRecord
Agentic AI Atlas · specializations/gpu-programming/reduction-scan-implementation
lib-process:gpu-programming--reduction-scan-implementationa5c.ai
II.
LibraryProcess JSON

lib-process:gpu-programming--reduction-scan-implementation

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specializations/gpu-programming/reduction-scan-implementation json

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File · generated-library/processes.yamlCluster · generated-library
Record JSON
{
  "id": "lib-process:gpu-programming--reduction-scan-implementation",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "specializations/gpu-programming/reduction-scan-implementation",
    "description": "Reduction and Scan Algorithm Implementation - Workflow for implementing efficient parallel\nreduction and prefix sum (scan) algorithms, foundational patterns for many GPU applications.",
    "libraryPath": "library/specializations/gpu-programming/reduction-scan-implementation.js",
    "specialization": "gpu-programming",
    "references": [
      "- GPU Gems 3 - Parallel Prefix Sum: https://developer.nvidia.com/gpugems/gpugems3/part-vi-gpu-computing",
      "- Optimizing Parallel Reduction in CUDA: https://developer.download.nvidia.com/assets/cuda/files/reduction.pdf"
    ],
    "example": "const result = await orchestrate('specializations/gpu-programming/reduction-scan-implementation', {\n  projectName: 'statistics_library',\n  operation: 'sum',\n  dataType: 'float',\n  algorithm: 'work-efficient'\n});",
    "usesAgents": [
      "parallel-algorithm-designer",
      "gpu-performance-engineer"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:gpu-programming--reduction-scan-implementation",
      "to": "skill-area:cuda-kernels",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--reduction-scan-implementation",
      "to": "skill-area:compute-shaders",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--reduction-scan-implementation",
      "to": "domain:scientific-computing",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--reduction-scan-implementation",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--reduction-scan-implementation",
      "to": "role:ml-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--reduction-scan-implementation",
      "to": "workflow:vulnerability-management",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--reduction-scan-implementation",
      "to": "specialization:gpu-programming",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--reduction-scan-implementation",
      "to": "lib-agent:gpu-programming--parallel-algorithm-designer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:gpu-programming--reduction-scan-implementation",
      "to": "lib-agent:gpu-programming--gpu-performance-engineer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}