II.
LibraryProcess overview
Reference · livelib-process:gpu-programming--parallel-algorithm-design
specializations/gpu-programming/parallel-algorithm-design overview
Parallel Algorithm Design - Process for designing efficient parallel algorithms that exploit GPU architecture. Covers algorithm decomposition, work distribution, and synchronization strategies.
Attributes
displayName
specializations/gpu-programming/parallel-algorithm-design
description
Parallel Algorithm Design - Process for designing efficient parallel algorithms that exploit GPU architecture.
Covers algorithm decomposition, work distribution, and synchronization strategies.
libraryPath
library/specializations/gpu-programming/parallel-algorithm-design.js
specialization
gpu-programming
references
- - Programming Massively Parallel Processors by Kirk & Hwu
- - GPU Gems 3: Parallel Prefix Sum: https://developer.nvidia.com/gpugems/gpugems3
example
const result = await orchestrate('specializations/gpu-programming/parallel-algorithm-design', {
algorithmName: 'parallel_sort',
problemType: 'sorting',
inputSize: 'large',
parallelPattern: 'divide-and-conquer'
});
usesAgents
- 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:architecture-decision-record·WorkflowArchitecture Decision Record
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--parallel-algorithm-designer·LibraryAgentparallel-algorithm-designer
Incoming edges
None.