Summary: TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
Summary for paper ‘TVM: An Automated End-to-End Optimizing Compiler for Deep Learning’
Summary: TinyML
Summary for paper ‘TinyML: Current Progress, Research Challenges, and Future Roadmap’
Summary: NAS with RL
Summary for paper ‘Neural Architecture Search with Reinforcement Learning’
Summary: Learning both Weights and Connections for NNs
Summary for paper ‘Learning both Weights and Connections for Efficient Neural Networks’
Summary: Quantization and Training of Neural Networks
Summary for paper ‘Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference’
Summary: In-Datacenter Performance Analysis of a Tensor Processing Unit
Summary for paper ‘In-Datacenter Performance Analysis of a Tensor Processing Unit’
2025 Technical Notes(1)
Technical notes during 2025.
Summary: Attention is all you need
Summary for paper ‘Attention is all you need’
Summary: A New Golden Age for Computer Architecture
Summary for paper ‘A New Golden Age for Computer Architecture’
2024 Technical Notes
Technical notes during 2024.