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Paper_summary
34
Summary: Demystifying NCCL: An In-depth Analysis of GPU Communication Protocols and Algorithms
Summary: PyTorch: An Imperative Style, High-Performance Deep Learning Library
Summary: AWQ: Activation-Aware Weight Quantization for on-device LLM Compression and Acceleration
Summary: Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve
Summary: SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills
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Pytorch
19
Summary: PyTorch: An Imperative Style, High-Performance Deep Learning Library
GPU Puzzles
Tensor Puzzles
Deep Dive to Pytorch Contiguous Operator(4)
Distributed Training Strategy Introduction
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Csapp
10
ProxyLab
MallocLab
ShellLab
Cachelab
CSAPP Class Notes(4)
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Server
7
Ceph Learning Notes
Nginx Learning Notes
Kafka Learning Notes
Protobuf Learning Notes
Mysql Learning Notes
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Tvm
5
TVM: 2D Depth Conv GPU Optimization
TVM: GEMM GPU Optimization
TVM: 1D convolution GPU Optimization
TVM: 1D convolution CPU Optimization
Summary: TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
Technical_notes
4
2025 Technical Notes(3)
2025 Technical Notes(2)
2025 Technical Notes(1)
2024 Technical Notes
Algorithm
2
Understand Dynamic Programming
Understand Lightgbm
Llm
2
Llama_index Source Code Analysis(1)
Llama_index Source Code Analysis(2)
Vllm
2
Bi-weekly Journal: Contributions to vLLM
Summary: Efficient Memory Management for Large Language Model Serving with PagedAttention