参考资料¶
内容优先采用厂商官方文档、项目官方仓库与原始论文。工具接口和产品规格会变化,实际实验前应回到对应版本的原始资料确认。
芯片架构与 CUDA¶
- NVIDIA A100 Tensor Core GPU Architecture Whitepaper
- NVIDIA A100 Datasheet
- CUDA Programming Guide
- NVIDIA PTX ISA
- NVIDIA Ampere Tuning Guide
Groq LPU 与张量流处理器¶
- Think Fast: A Tensor Streaming Processor for Accelerating Deep Learning Workloads(ISCA 2020)
- A Software-defined Tensor Streaming Multiprocessor for Large-scale Machine Learning(ISCA 2022)
- GroqCard Accelerator Product Brief
- Answer Fast: Accelerating BERT on the Tensor Streaming Processor
架构仿真与数据流¶
- gem5 Documentation
- Accel-Sim Framework
- Timeloop
- MAESTRO: Data-Centric DNN Dataflow Analysis
- SCALE-Sim
AI 编译器¶
模型架构¶
- Attention Is All You Need
- GQA: Training Generalized Multi-Query Transformer Models
- Switch Transformers
- FlashAttention
量化与推理加速¶
建站与发布¶
内容更新记录¶
| 日期 | 内容 |
|---|---|
| 2026-08-27 | 新增 Groq LPU 架构图解:功能切片、确定性调度、片上 SRAM、多芯片流水与 Transformer 映射 |
| 2026-08-20 | 将知识库重组为软硬件协同五条主线;新增 A100 整体/SM/访存/SIMT 图解及各主线首批内容 |
| 2026-08-20 | 创建首版知识库与 GitHub + Cloudflare 发布流程 |