Study note
Get Started With Deep Learning Performance
Properties
- Type
- Blogs
- Status
- 待读
- Domain
- AI / ML
- Category
- 深度学习、自动微分与实践
- Source
- docs.nvidia.com
- Vault note
library/articles/ai_ml/Get-Started-With-Deep-Learning-Performance-cfa6139fd68064f9.md
Summary
解释矩阵乘为何是深度学习性能的核心,并给出 Tensor Core 对齐、batch size、矩阵维度和算子参数选择的实用建议,帮助判断 math-bound 与 memory-bound 工作负载。
Highlights
适合紧接 GPU Performance Background 阅读,把 Roofline 和算术强度进一步落实到 GEMM、卷积及训练参数选择上。
Notes
NVIDIA 的深度学习 GPU 利用率入门指南。
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