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cuda_op_benchmark's Introduction

cuda_op_benchmark

在实际的推理引擎开发中，更多的是深度学习算子实现，所以本仓库目标是以实现高效深度学习算子为切入点，对CUDA编程，以及CUDA优化和概念进行一个介绍。 本仓库旨在通过算子Benchmark来对CUDA编程进行学习，框架采用CMake进行编译，也可以比较方便的进行代码组织，可以使得小伙伴们专注在算子的优化上面。

个人开发服务器配置环境说明

  • RTX4090

算子完成情况

Op Name Naive Version2 Version 3 Version 4 Version 5 Status
GEMM ✅ Wmma ✅ mma-ptx ✅ mma-ptx-opt ❌ cutlass ❌ Doing
Attention FlashAttention ❌ Doing

使用方法

1. 编译

在当前工程目录运行

编译

bash scripts/build_linux.sh

运行

# 运行gemm op的测试，只测试cuda kernel的耗时
./build/CUDABench op/gemm

# 运行gemm op的测试，测试cuda kernel的耗时，并且测试其正确性
./build/CUDABench op/gemm 1

# 运行gemm op的测试，测试cuda kernel的耗时，并且测试其正确性，并且将所有log输出到log.txt
./build/CUDABench op/gemm 1 > log.tx 2>&1

Reference

cuda_op_benchmark's People

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