From 7e6a07eb0083bf16c50b3cfdc2b087fdf4d684a2 Mon Sep 17 00:00:00 2001
From: feilong <fanfeilong@outlook.com>
Date: Mon, 18 Apr 2022 16:24:52 +0800
Subject: [PATCH] =?UTF-8?q?=E5=88=A0=E9=99=A4=E4=B8=8D=E5=86=8D=E9=80=82?=
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---
 data/tree_simple.json | 88 -------------------------------------------
 1 file changed, 88 deletions(-)
 delete mode 100644 data/tree_simple.json

diff --git a/data/tree_simple.json b/data/tree_simple.json
deleted file mode 100644
index 0e8cb09..0000000
--- a/data/tree_simple.json
+++ /dev/null
@@ -1,88 +0,0 @@
-{
-    "level":{
-        "level_0": [
-            "GPU架构及异构计算",
-            "初识CUDA",
-            "CUDA存储单元的使用",
-            "多种CUDA存储单元详解",
-            "利用共享存储单元优化应用",
-            "统一内存"
-        ],
-        "level_1":[
-            "CUA错误检测与事件",
-            "原子操作",
-            "CUDA stream"
-        ],
-        "level_2": [
-            "CUDA 调试分析",
-            "CUDA 优化",
-            "CUDA 加速库"
-        ]
-    },
-    "tree": {
-        "GPU架构及异构计算":[
-            "介绍GPU架构以及异构计算的基本原理",
-            "介绍GPU硬件平台",
-            "环境安装配置"
-        ],
-        "初识CUDA": [
-            "CUDA程序的编译",
-            "GPU线程的调用",
-            "GPU和CPU的通讯",
-            "使用多个线程的核函数",
-            "使用线程索引",
-            "多维网络",
-            "网格与线程块"
-        ],
-        "CUDA存储单元的使用": [
-            "设备初始化",
-            "GPU的存储单元",
-            "GPU存储单元的分配与释放",
-            "数据的传输",
-            "数据与线程之间的对应关系"
-        ],
-        "多种CUDA存储单元详解": [
-            "CUDA中的存储单元种类",
-            "CUDA中的各种存储单元的使用方法",
-            "CUDA中的各种存储单元的适用条件"
-        ],
-        "利用共享存储单元优化应用":  [
-            "共享存储单元详解",
-            "共享内存的Bank conflict",
-            "利用共享存储单元进行矩阵转置和矩阵乘积"
-        ],
-        "统一内存": [
-            "统一内存的基本概念和使用"
-        ],
-        "CUA错误检测与事件": [
-            "CUDA应用程序运行时的错误检测",
-            "CUDA中的事件"
-        ],
-        "原子操作": [
-            "CUDA中的原子操作",
-            "原子操作的适用场景"
-        ],
-        "CUDA stream": [
-            "CUDA流的基本概念",
-            "默认流与非默认流",
-            "利用CUDA流重叠计算和数据传输"
-        ],
-        "CUDA 调试分析": [
-            "利用Nsight等分析工具对程序性能进行分析",
-            "根据实际硬件调整程序"
-        ],
-        "CUDA 优化": [
-            "存储优化",
-            "执行设置优化",
-            "指令级优化",
-            "控制流优化"
-        ],
-        "CUDA 加速库": [
-            "cuBLAS",
-            "cuFFT",
-            "cuRAND",
-            "cuSPARSE",
-            "cuDNN"
-        ]
-    }
-}
\ No newline at end of file
-- 
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