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 01 Technical Notes
Technical notes during 2025 Jan.
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.
GPU Puzzles
This article provides solutions to the GPU Puzzles by Sasha Rush
Tensor Puzzles
This article provides solutions to the Tensor Puzzles by Sasha Rush
Llama_index Source Code Analysis(1)
This blog introduces the basic concepts of RAG and further demonstrates the RAG process based on the source code interpretation of llama_index, including data loader, transformation, index, query, etc. In addition, this paper also analyzes the performance of llama_index RAG process and gives corresponding optimization suggestions.