#Codeblocks compiler optimization flags how to#
#Codeblocks compiler optimization flags generator#
#Codeblocks compiler optimization flags driver#
#Codeblocks compiler optimization flags full#

* Latest release of DragonEgg sources is at * LLVM releases on provides only sources releases. Here you can use higher optimization flags like -O3, -mavx etc if required. Optimization flags DragonEgg plugin will use to generate the optimized LLVM IR and code generation. It is recommend to use basic out-of-the-box flags (eg: -m64 -O2, preferably least GFortran optimization(-O0) *** $ clang -O3 -flto -lgfortran -o xyz xyz.oįlags that GFortran frontend will use to generate the IR for DragonEgg plugin. *** $ gfortran -fplugin=path/dragonegg.so -c xyz.f90 A version of DragonEgg is called the AOCC Fortran Plugin.

gfortran -fplugin=path/dragonegg.so ĭragonEgg is a gcc plugin that replaces GCC's optimizers and code generators with those from the LLVM project.

The output of this stage is typically called an a.out. This stage runs the target linker to merge multiple object files into an executable or dynamic library. The output of this stage is typically called a. This stage runs the target assembler to translate the output of the compiler into a target object file. s file and of calling the target assembler. This avoids the overhead of generating the.

#Codeblocks compiler optimization flags generator#

s file or assembly file.Ĭlang also supports the use of an integrated assembler, in which the code generator produces object files directly. This phase is responsible for optimizing the generated code and handling target-specific code generation. This stage translates an AST into low-level intermediate code (known as LLVM IR) and ultimately to machine code.

The output of this stage is an Abstract Syntax Tree (AST). This stage is responsible for generating most of the compiler warnings as well as parse errors. Once in the form of a parse tree, it applies semantic analysis to compute types for expressions as well and determine whether the code is well formed. This stage parses the input file, translating preprocessor tokens into a parse tree. This stage handles tokenization of the input source file, macro expansion, #include expansion and handling of other preprocessor directives. Typically you do not need to interact with the driver, but you transparently use it to run the other tools.

#Codeblocks compiler optimization flags driver#

The clang executable is actually a small driver which controls the overall execution of other tools such as the compiler, assembler and linker.

#Codeblocks compiler optimization flags how to#

While Clang is highly integrated, it is important to understand the stages of compilation, to understand how to invoke it.

#Codeblocks compiler optimization flags full#

Depending on which high-level mode setting is passed, Clang will stop before doing a full link. It is recommended that you use soft links to back up and replace existing ld, nm, ar with the gold enabled version.Ĭlang is a C, C++, and Objective-C compiler which encompasses preprocessing, parsing, optimization, code generation, assembly, and linking. Replace the existing binutils tools in /usr/bin with the newly built gold enabled binutils tools like ld, nm, ar. The correct include path will contain the file plugin-api.h.

Run CMake with -DLLVM_BINUTILS_INCDIR=/path/to/binutils/include. Running make will additionally build build/binutils/ar and nm-new binaries supporting plugins.īuild the LLVMgold plugin. That should leave you with build/gold/ld-new which supports the -plugin option. binutils/configure -enable-gold -enable-plugins -disable-werror *** $ git clone -depth 1 git:///git/binutils-gdb.git binutils To use -flto, you will have toĭownload, configure and build binutils for gold with plugin support. The default binary releases of llvm from do not have LLVMGold.so and so will not support -flto. flto requires llvm to be build with gold-linker. When used with -S this generates LLVM intermediate language assembly files, otherwise this generates LLVM bitcode format object files (which may be passed to the linker depending on the stage selection options). Generate output files in LLVM formats, suitable for link time optimization.