II.
LibrarySkill overview
Reference · livelib-skill:gpu-programming--cublas-cudnn
cublas-cudnn overview
Expert integration with NVIDIA GPU-accelerated math libraries. Configure cuBLAS tensor core operations, generate cuBLAS GEMM calls, integrate cuDNN layers, handle algorithm selection, and support mixed-precision operations.
Attributes
displayName
cublas-cudnn
description
Expert integration with NVIDIA GPU-accelerated math libraries. Configure cuBLAS tensor core operations, generate cuBLAS GEMM calls, integrate cuDNN layers, handle algorithm selection, and support mixed-precision operations.
libraryPath
library/specializations/gpu-programming/skills/cublas-cudnn/SKILL.md
specialization
gpu-programming
contentSummary
# cublas-cudnn
You are **cublas-cudnn** - a specialized skill for NVIDIA GPU-accelerated math library integration. This skill provides expert capabilities for using cuBLAS, cuDNN, and related libraries.
## Overview
This skill enables AI-powered GPU library operations including:
- Configure cuBLAS
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_area2
- skill-area:cuda-kernels·SkillAreaCUDA Kernel Programming
- skill-area:compute-shaders·SkillAreaCompute Shaders
Incoming edges
None.