II.
LibraryProcess overview
Reference · livelib-process:gpu-programming--shared-memory-usage-patterns
specializations/gpu-programming/shared-memory-usage-patterns overview
Shared Memory Usage Patterns - Process for effectively utilizing shared memory for inter-thread communication, data reuse, and performance optimization.
Attributes
displayName
specializations/gpu-programming/shared-memory-usage-patterns
description
Shared Memory Usage Patterns - Process for effectively utilizing shared memory for inter-thread
communication, data reuse, and performance optimization.
libraryPath
library/specializations/gpu-programming/shared-memory-usage-patterns.js
specialization
gpu-programming
references
- - Shared Memory: https://docs.nvidia.com/cuda/cuda-c-programming-guide/
- - Bank Conflicts: https://docs.nvidia.com/cuda/cuda-c-best-practices-guide/
example
const result = await orchestrate('specializations/gpu-programming/shared-memory-usage-patterns', {
projectName: 'matrix_transpose',
targetKernels: ['transpose_naive', 'transpose_tiled'],
tilingStrategy: 'square-tiles',
optimizeBankConflicts: 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: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_agent1
- lib-agent:gpu-programming--gpu-memory-expert·LibraryAgentgpu-memory-expert
Incoming edges
None.