II.
LibraryProcess overview
Reference · livelib-process:gpu-programming--warp-efficiency-optimization
specializations/gpu-programming/warp-efficiency-optimization overview
Warp/Wavefront Efficiency Optimization - Workflow for minimizing warp divergence and maximizing SIMD efficiency across GPU threads executing in lockstep.
Attributes
displayName
specializations/gpu-programming/warp-efficiency-optimization
description
Warp/Wavefront Efficiency Optimization - Workflow for minimizing warp divergence and maximizing
SIMD efficiency across GPU threads executing in lockstep.
libraryPath
library/specializations/gpu-programming/warp-efficiency-optimization.js
specialization
gpu-programming
references
- - Warp Divergence: https://docs.nvidia.com/cuda/cuda-c-best-practices-guide/
- - SIMD Efficiency: https://developer.nvidia.com/blog/using-cuda-warp-level-primitives/
example
const result = await orchestrate('specializations/gpu-programming/warp-efficiency-optimization', {
projectName: 'decision_tree_traversal',
targetKernels: ['tree_traverse', 'leaf_compute'],
divergenceAnalysis: true
});
usesAgents
- gpu-performance-engineer
- parallel-algorithm-designer
Outgoing edges
lib_applies_to_domain1
- domain:scientific-computing·DomainScientific Computing
lib_belongs_to_specialization1
- specialization:gpu-programming·Specialization
lib_implements_workflow1
- workflow:performance-profiling-cycle·WorkflowPerformance Profiling Cycle
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_agent2
- lib-agent:gpu-programming--gpu-performance-engineer·LibraryAgentgpu-performance-engineer
- lib-agent:gpu-programming--parallel-algorithm-designer·LibraryAgentparallel-algorithm-designer
Incoming edges
None.