II.
LibraryProcess overview
Reference · livelib-process:gpu-programming--gpu-cpu-data-transfer-optimization
specializations/gpu-programming/gpu-cpu-data-transfer-optimization overview
GPU-CPU Data Transfer Optimization - Workflow for minimizing data transfer overhead between host and device memory. Covers asynchronous transfers, pinned memory, and compute-transfer overlap.
Attributes
displayName
specializations/gpu-programming/gpu-cpu-data-transfer-optimization
description
GPU-CPU Data Transfer Optimization - Workflow for minimizing data transfer overhead between
host and device memory. Covers asynchronous transfers, pinned memory, and compute-transfer overlap.
libraryPath
library/specializations/gpu-programming/gpu-cpu-data-transfer-optimization.js
specialization
gpu-programming
references
- - CUDA Best Practices - Data Transfer: https://docs.nvidia.com/cuda/cuda-c-best-practices-guide/
- - Unified Memory: https://docs.nvidia.com/cuda/cuda-c-programming-guide/
example
const result = await orchestrate('specializations/gpu-programming/gpu-cpu-data-transfer-optimization', {
projectName: 'streaming_pipeline',
transferPatterns: ['input_streaming', 'output_collection'],
usePinnedMemory: true,
asyncTransfers: true
});
usesAgents
- gpu-memory-expert
Outgoing edges
lib_applies_to_domain1
- domain:scientific-computing·DomainScientific Computing
lib_belongs_to_specialization1
- specialization:gpu-programming·Specialization
lib_implements_workflow1
- workflow:data-pipeline-deployment·WorkflowData Pipeline Deployment
lib_involves_role2
- role:computational-scientist·RoleComputational Scientist
- role:ml-engineer·RoleMachine Learning Engineer
lib_requires_skill_area2
- skill-area:cuda-kernels·SkillAreaCUDA Kernel Programming
- skill-area:compute-shaders·SkillAreaCompute Shaders
uses_agent1
- lib-agent:gpu-programming--gpu-memory-expert·LibraryAgentgpu-memory-expert
Incoming edges
None.