diff --git "a/docs/\350\210\254\350\213\245\347\274\226\347\250\213\350\257\255\350\250\200\346\214\207\345\215\227.md" "b/docs/\350\210\254\350\213\245\347\274\226\347\250\213\350\257\255\350\250\200\346\214\207\345\215\227.md"
index 1cb7e5c2..72f40abe 100644
--- "a/docs/\350\210\254\350\213\245\347\274\226\347\250\213\350\257\255\350\250\200\346\214\207\345\215\227.md"
+++ "b/docs/\350\210\254\350\213\245\347\274\226\347\250\213\350\257\255\350\250\200\346\214\207\345\215\227.md"
@@ -45,6 +45,13 @@ apt install git clang wget libgnutls28-dev libsodium-dev uuid-dev build-essentia
 Install CMake 2.30.0 参考: https://gist.github.com/bmegli/4049b7394f9cfa016c24ed67e5041930
 ```
 
+#### Ubuntu 20.04 需要安装的一些依赖库
+
+```bash
+apt install git clang wget libgnutls28-dev libsodium-dev uuid-dev build-essential libssl-dev
+Install CMake 2.30.0 参考: https://gist.github.com/bmegli/4049b7394f9cfa016c24ed67e5041930
+```
+
 #### 下载源码
 
 首先我们下载源码, 下载的库会比较多, 如果没有报错请耐心等待, 建议配置网络代理以便能流畅下载github的代码
diff --git a/prajna/codegen/llvm_codegen.cpp b/prajna/codegen/llvm_codegen.cpp
index 0afa0e4a..aea3c203 100644
--- a/prajna/codegen/llvm_codegen.cpp
+++ b/prajna/codegen/llvm_codegen.cpp
@@ -683,7 +683,7 @@ std::shared_ptr<ir::Module> LlvmPass(std::shared_ptr<ir::Module> ir_module) {
     JTMB->setCPU("");
     JTMB->setRelocationModel(std::nullopt);
     JTMB->setCodeModel(std::nullopt);
-    JTMB->setCodeGenOptLevel(llvm::CodeGenOpt::None);
+    JTMB->setCodeGenOptLevel(llvm::CodeGenOptLevel::None);
     JTMB->addFeatures(std::vector<std::string>());
     auto TM = JTMB->createTargetMachine();
     PRAJNA_ASSERT(TM && TM.get());
@@ -721,9 +721,12 @@ std::shared_ptr<ir::Module> LlvmPass(std::shared_ptr<ir::Module> ir_module) {
         llvm::SMDiagnostic err;
 #ifdef _WIN32
         auto uq_llvm_libdevice_module = llvm::parseIRFile(
-            "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.2\\nvvm\\libdevice\\libdevice.10.bc", err, static_llvm_context);
+            "C:\\Program Files\\NVIDIA GPU Computing "
+            "Toolkit\\CUDA\\v12.2\\nvvm\\libdevice\\libdevice.10.bc",
+            err, static_llvm_context);
         PRAJNA_ASSERT(uq_llvm_libdevice_module,
-                      "\"C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v12.2\\nvvm\\libdevice\\libdevice.10.bc\" is not found");
+                      "\"C:\\Program Files\\NVIDIA GPU Computing "
+                      "Toolkit\\CUDA\\v12.2\\nvvm\\libdevice\\libdevice.10.bc\" is not found");
 #else
         auto uq_llvm_libdevice_module = llvm::parseIRFile(
             "/usr/local/cuda/nvvm/libdevice/libdevice.10.bc", err, static_llvm_context);
diff --git a/third_party/boost b/third_party/boost
index da041154..65c1319b 160000
--- a/third_party/boost
+++ b/third_party/boost
@@ -1 +1 @@
-Subproject commit da041154c6bac1a4aa98254a7d6819059e8ac0b0
+Subproject commit 65c1319bb92fe7a9a4abd588eff5818d9c2bccf9
diff --git a/third_party/llvm-project b/third_party/llvm-project
index 76ea62a2..3b5b5c1e 160000
--- a/third_party/llvm-project
+++ b/third_party/llvm-project
@@ -1 +1 @@
-Subproject commit 76ea62a2735a760545bfa98524e7a658a15268ac
+Subproject commit 3b5b5c1ec4a3095ab096dd780e84d7ab81f3d7ff