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Title: GitHub - AndSonder/CUDATutorial: A self-learning tutorail for CUDA High Performance Programing. · GitHub

Open Graph Title: GitHub - AndSonder/CUDATutorial: A self-learning tutorail for CUDA High Performance Programing.

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Description: A self-learning tutorail for CUDA High Performance Programing. - AndSonder/CUDATutorial

Open Graph Description: A self-learning tutorail for CUDA High Performance Programing. - AndSonder/CUDATutorial

X Description: A self-learning tutorail for CUDA High Performance Programing. - AndSonder/CUDATutorial

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https://github.com/AndSonder/CUDATutorial/blob/develop/img/kernel-execution-on-gpu.png
https://github.com/AndSonder/CUDATutorial/tree/develop#学习路线
https://github.com/AndSonder/CUDATutorial/tree/develop#新手村系列-
构建 CUDA 编程环境https://github.com/AndSonder/CUDATutorial/blob/develop/docs/01_build_dev_env
手写第一个 Kernelhttps://github.com/AndSonder/CUDATutorial/blob/develop/docs/02_first_kernel
nvprof 性能分析https://github.com/AndSonder/CUDATutorial/blob/develop/docs/03_nvprof_usage
尝试第一次优化 Kernelhttps://github.com/AndSonder/CUDATutorial/blob/develop/docs/04_first_refine_kernel
了解 CUDA 线程分布https://github.com/AndSonder/CUDATutorial/blob/develop/docs/10_what_my_id
CUDA 编程模型https://github.com/AndSonder/CUDATutorial/blob/develop/docs/00_prev_concept
https://github.com/AndSonder/CUDATutorial/tree/develop#初阶系列-
初识多线程并行计算https://github.com/AndSonder/CUDATutorial/blob/develop/docs/05_intro_parallel
手写实现矩阵乘 Matmulhttps://github.com/AndSonder/CUDATutorial/blob/develop/docs/06_impl_matmul
矩阵乘 Matmul 性能优化实践https://github.com/AndSonder/CUDATutorial/blob/develop/docs/07_optimize_matmul
https://github.com/AndSonder/CUDATutorial/tree/develop#中阶系列-
手写实现 Reducehttps://github.com/AndSonder/CUDATutorial/blob/develop/docs/08_impl_reduce
Reduce 性能优化实践—交叉寻址https://github.com/AndSonder/CUDATutorial/blob/develop/docs/09_optimize_reduce/01_interleaved_addressing/README.md
Reduce 性能优化实践—解决 Bank Conflicthttps://github.com/AndSonder/CUDATutorial/blob/develop/docs/09_optimize_reduce/02_bank_conflict/README.md
Reduce 性能优化实践—解决空闲线程https://github.com/AndSonder/CUDATutorial/blob/develop/docs/09_optimize_reduce/03_idle_threads_free/README.md
Reduce 性能优化实践—展开最后一个 warphttps://github.com/AndSonder/CUDATutorial/blob/develop/docs/09_optimize_reduce/04_unroll/README.md
GEMM 优化专题-二维 Thread Tile 并行优化https://github.com/AndSonder/CUDATutorial/blob/develop/docs/11_gemm_optimize/01_tiled2d/README.md
GEMM 优化专题-向量化访存https://github.com/AndSonder/CUDATutorial/blob/develop/docs/11_gemm_optimize/02_vectorize_smem_and_gmem_accesses/README.md
GEMM 优化专题-warp tilinghttps://github.com/AndSonder/CUDATutorial/blob/develop/docs/11_gemm_optimize/03_warptiling/README.md
GEMM 优化专题-双缓冲https://github.com/AndSonder/CUDATutorial/blob/develop/docs/11_gemm_optimize/04_double_buffer/README.md
GEMM 优化专题-解决 Bank Conflicthttps://github.com/AndSonder/CUDATutorial/blob/develop/docs/11_gemm_optimize/05_bank_conflicts/README.md
卷积算子优化专题-卷积算子简易实现https://github.com/AndSonder/CUDATutorial/blob/develop/docs/12_convolution/01_naive_conv/README.md
卷积算子优化专题-卷积算子优化思路介绍https://github.com/AndSonder/CUDATutorial/blob/develop/docs/12_convolution/02_intro_conv_optimize/README.md
卷积算子优化专题-im2col + gemm 实现卷积https://github.com/AndSonder/CUDATutorial/blob/develop/docs/12_convolution/03_im2col_conv/README.md
卷积算子优化专题-隐式 GEMM 实现卷积https://github.com/AndSonder/CUDATutorial/blob/develop/docs/12_convolution/04_implicit_gemm/README.md
卷积算子优化专题-CUTLASS 中的卷积优化策略https://github.com/AndSonder/CUDATutorial/blob/develop/docs/12_convolution/05_cutlass_conv/README.md
https://github.com/AndSonder/CUDATutorial/tree/develop#高阶系列-️
https://github.com/AndSonder/CUDATutorial/tree/develop#triton-系列-
Triton 编程范式入门https://github.com/AndSonder/CUDATutorial/blob/develop/docs/18_triton/01_triton_programming_paradigms/README.md
Triton 内存和数据传输https://github.com/AndSonder/CUDATutorial/blob/develop/docs/18_triton/02_triton_memory_and_data_movement/README.md
Triton Softmax 算子实现https://github.com/AndSonder/CUDATutorial/blob/develop/docs/18_triton/03_triton_softmax/README.md
https://github.com/AndSonder/CUDATutorial/tree/develop#llm-推理技术-
Flash Attention v1 - 原理篇https://github.com/AndSonder/CUDATutorial/blob/develop/docs/17_flash_attn/01_flash_attn_v1_part1.md
Flash Attention v1 - 实现篇https://github.com/AndSonder/CUDATutorial/blob/develop/docs/17_flash_attn/02_flash_attn_v1_part2.md
连续批处理https://github.com/AndSonder/CUDATutorial/blob/develop/docs/13_continuous_batch/README.md
Page Attention - 原理篇https://github.com/AndSonder/CUDATutorial/blob/develop/docs/14_page_attention/README.md
Page Attention - 源码解析https://github.com/AndSonder/CUDATutorial/blob/develop/docs/15_vllm_page_attention/README.md
vLLM 源码解读系列 - vLLM 代码架构介绍https://github.com/AndSonder/CUDATutorial/blob/develop/docs/16_vllm_source_code/01_vllm_arch.md
vLLM 源码解读系列 - 调度前的预处理工作https://github.com/AndSonder/CUDATutorial/blob/develop/docs/16_vllm_source_code/02_preprocess_before_scheduler.md
vLLM 源码解读系列 - 调度器策略https://github.com/AndSonder/CUDATutorial/blob/develop/docs/16_vllm_source_code/03_scheduler.md
vLLM 源码解读系列 - vLLM BlockManager - NaiveBlockAllocatorhttps://github.com/AndSonder/CUDATutorial/blob/develop/docs/16_vllm_source_code/04_block_manager_part1.md
vLLM 源码解读系列 - vLLM BlockManager - PrefixCachingBlockAllocatorhttps://github.com/AndSonder/CUDATutorial/blob/develop/docs/16_vllm_source_code/05_block_manager_part2.md
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