iiRecord
Agentic AI Atlas · specializations/gpu-programming/parallel-algorithm-design
lib-process:gpu-programming--parallel-algorithm-designa5c.ai
II.
LibraryProcess JSON

lib-process:gpu-programming--parallel-algorithm-design

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specializations/gpu-programming/parallel-algorithm-design json

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File · generated-library/processes.yamlCluster · generated-library
Record JSON
{
  "id": "lib-process:gpu-programming--parallel-algorithm-design",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "specializations/gpu-programming/parallel-algorithm-design",
    "description": "Parallel Algorithm Design - Process for designing efficient parallel algorithms that exploit GPU architecture.\nCovers algorithm decomposition, work distribution, and synchronization strategies.",
    "libraryPath": "library/specializations/gpu-programming/parallel-algorithm-design.js",
    "specialization": "gpu-programming",
    "references": [
      "- Programming Massively Parallel Processors by Kirk & Hwu",
      "- GPU Gems 3: Parallel Prefix Sum: https://developer.nvidia.com/gpugems/gpugems3"
    ],
    "example": "const result = await orchestrate('specializations/gpu-programming/parallel-algorithm-design', {\n  algorithmName: 'parallel_sort',\n  problemType: 'sorting',\n  inputSize: 'large',\n  parallelPattern: 'divide-and-conquer'\n});",
    "usesAgents": [
      "parallel-algorithm-designer"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:gpu-programming--parallel-algorithm-design",
      "to": "skill-area:cuda-kernels",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--parallel-algorithm-design",
      "to": "skill-area:compute-shaders",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--parallel-algorithm-design",
      "to": "domain:scientific-computing",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--parallel-algorithm-design",
      "to": "role:computational-scientist",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--parallel-algorithm-design",
      "to": "role:ml-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:gpu-programming--parallel-algorithm-design",
      "to": "workflow:architecture-decision-record",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--parallel-algorithm-design",
      "to": "specialization:gpu-programming",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:gpu-programming--parallel-algorithm-design",
      "to": "lib-agent:gpu-programming--parallel-algorithm-designer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}