II.
LibraryProcess overview
Reference · livelib-process:gpu-programming--tensor-core-programming
specializations/gpu-programming/tensor-core-programming overview
Tensor Core Programming - Workflow for utilizing NVIDIA Tensor Cores for accelerated matrix multiply-accumulate operations in deep learning and HPC applications.
Attributes
displayName
specializations/gpu-programming/tensor-core-programming
description
Tensor Core Programming - Workflow for utilizing NVIDIA Tensor Cores for accelerated
matrix multiply-accumulate operations in deep learning and HPC applications.
libraryPath
library/specializations/gpu-programming/tensor-core-programming.js
specialization
gpu-programming
references
- - WMMA API: https://docs.nvidia.com/cuda/cuda-c-programming-guide/
- - Tensor Core Programming: https://developer.nvidia.com/blog/programming-tensor-cores-cuda-9/
- - CUTLASS: https://github.com/NVIDIA/cutlass
example
const result = await orchestrate('specializations/gpu-programming/tensor-core-programming', {
projectName: 'transformer_attention',
matrixOperation: 'batched_gemm',
precision: 'fp16',
useWmma: true
});
usesAgents
- tensor-core-specialist
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_area2
- skill-area:cuda-kernels·SkillAreaCUDA Kernel Programming
- skill-area:compute-shaders·SkillAreaCompute Shaders
uses_agent1
- lib-agent:gpu-programming--tensor-core-specialist·LibraryAgenttensor-core-specialist
Incoming edges
None.