II.
LibraryProcess overview
Reference · livelib-process:gpu-programming--gpu-memory-optimization
specializations/gpu-programming/gpu-memory-optimization overview
GPU Memory Optimization - Systematic approach to optimizing GPU memory access patterns, reducing memory bandwidth bottlenecks, and maximizing cache utilization.
Attributes
displayName
specializations/gpu-programming/gpu-memory-optimization
description
GPU Memory Optimization - Systematic approach to optimizing GPU memory access patterns,
reducing memory bandwidth bottlenecks, and maximizing cache utilization.
libraryPath
library/specializations/gpu-programming/gpu-memory-optimization.js
specialization
gpu-programming
references
- - CUDA C++ Best Practices Guide - Memory Optimizations: https://docs.nvidia.com/cuda/cuda-c-best-practices-guide/
- - GPU Gems: Optimizing Memory Access: https://developer.nvidia.com/gpugems
example
const result = await orchestrate('specializations/gpu-programming/gpu-memory-optimization', {
projectName: 'matrix_ops',
targetKernels: ['matmul', 'transpose'],
memoryAnalysis: true,
targetBandwidth: 80 // percentage of theoretical max
});
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_area3
- skill-area:cuda-kernels·SkillAreaCUDA Kernel Programming
- skill-area:compute-shaders·SkillAreaCompute Shaders
- skill-area:gpu-memory-hierarchy·SkillAreaGPU Memory Hierarchy
uses_agent1
- lib-agent:gpu-programming--gpu-memory-expert·LibraryAgentgpu-memory-expert
Incoming edges
None.