II.
LibraryProcess overview
Reference · livelib-process:gpu-programming--gpu-memory-pool-allocator
specializations/gpu-programming/gpu-memory-pool-allocator overview
GPU Memory Pool and Allocator Design - Workflow for implementing custom GPU memory allocators and pools to reduce allocation overhead and fragmentation.
Attributes
displayName
specializations/gpu-programming/gpu-memory-pool-allocator
description
GPU Memory Pool and Allocator Design - Workflow for implementing custom GPU memory allocators
and pools to reduce allocation overhead and fragmentation.
libraryPath
library/specializations/gpu-programming/gpu-memory-pool-allocator.js
specialization
gpu-programming
references
- - CUDA Memory Management: https://docs.nvidia.com/cuda/cuda-c-programming-guide/
- - Memory Pools API: https://docs.nvidia.com/cuda/cuda-runtime-api/group__CUDART__MEMORY__POOLS.html
example
const result = await orchestrate('specializations/gpu-programming/gpu-memory-pool-allocator', {
projectName: 'inference_engine',
allocationType: 'caching',
poolStrategy: 'buddy-system',
memoryBudget: '4GB'
});
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.