II.
LibraryProcess overview
Reference · livelib-process:gpu-programming--gpu-debugging-techniques
specializations/gpu-programming/gpu-debugging-techniques overview
GPU Debugging Techniques - Systematic approach to debugging GPU code, identifying race conditions, memory errors, and correctness issues.
Attributes
displayName
specializations/gpu-programming/gpu-debugging-techniques
description
GPU Debugging Techniques - Systematic approach to debugging GPU code, identifying race conditions,
memory errors, and correctness issues.
libraryPath
library/specializations/gpu-programming/gpu-debugging-techniques.js
specialization
gpu-programming
references
- - compute-sanitizer: https://docs.nvidia.com/cuda/compute-sanitizer/
- - CUDA-GDB: https://docs.nvidia.com/cuda/cuda-gdb/
- - Nsight Debugger: https://docs.nvidia.com/nsight-visual-studio-edition/
example
const result = await orchestrate('specializations/gpu-programming/gpu-debugging-techniques', {
projectName: 'parallel_reduction',
targetKernels: ['reduce_sum', 'reduce_max'],
debugTool: 'compute-sanitizer',
issueType: 'race-condition'
});
usesAgents
- gpu-debugging-specialist
Outgoing edges
lib_applies_to_domain1
- domain:scientific-computing·DomainScientific Computing
lib_belongs_to_specialization1
- specialization:gpu-programming·Specialization
lib_implements_workflow1
- workflow:bug-triage·Workflow
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-debugging-specialist·LibraryAgentgpu-debugging-specialist
Incoming edges
None.