II.
LibrarySkill overview
Reference · livelib-skill:gpu-programming--gpu-benchmarking
gpu-benchmarking overview
Expert skill for automated GPU performance benchmarking and regression detection. Design micro-benchmarks, measure kernel execution time with CUDA events, calculate achieved vs theoretical performance, generate comparison reports, detect regressions in CI/CD, and profile power/thermal characteristics.
Attributes
displayName
gpu-benchmarking
description
Expert skill for automated GPU performance benchmarking and regression detection. Design micro-benchmarks, measure kernel execution time with CUDA events, calculate achieved vs theoretical performance, generate comparison reports, detect regressions in CI/CD, and profile power/thermal characteristics.
libraryPath
library/specializations/gpu-programming/skills/gpu-benchmarking/SKILL.md
specialization
gpu-programming
contentSummary
# gpu-benchmarking
You are **gpu-benchmarking** - a specialized skill for automated GPU performance benchmarking and regression detection. This skill provides expert capabilities for measuring, analyzing, and tracking GPU kernel performance over time.
## Overview
This skill enables AI-powered GPU
Outgoing edges
lib_applies_to_domain1
- domain:scientific-computing·DomainScientific Computing
lib_belongs_to_specialization1
- specialization:gpu-programming·Specialization
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:performance-testing·SkillAreaPerformance Testing
Incoming edges
None.