![]() ![]() This is why our compilation framework is built on LLVM in addition to utilizing the speed of GPUs. HEAVY.AI has invested heavily into optimizing its code so a wide range of analytic workloads can run optimally on GPUs. Optimization - Cleans the code for better run-time performance and addresses memory-related issues.Ĭode Generation - Turns code into a binary file that is executable. Semantic Analyser - Identifies the types and logics of the programs. Parsing - Groups the words and tokens from the lexical analysis into a form that makes sense. ![]() The compiler has five basic phases: Lexical Analysis - Converts program text into words and tokens (everything apart from words, such as spaces and semicolons). Then the LLVM clang code generator on the back end turns the interim format into final machine code. On the front end, the LLVM compiler infrastructure uses clang - a compiler for programming languages C, C++ and CUDA - to turn source code into an interim format. When it comes to performance differences, GCC has been considered superior in the past. LLVM libraries are licensed more liberally and GCC has more restrictions for its reuse. While LLVM and GCC both support a wide variety languages and libraries, they are licensed and developed differently. LLVM is a framework to generate object code from any kind of source code. ![]() The difference is that GCC supports a number of programming languages while LLVM isn’t a compiler for any given language. LLVM and the GNU Compiler Collection (GCC) are both compilers. It automates many of the difficult and unpleasant tasks involved in language creation, such as porting the outputted code to multiple platforms and architectures. LLVM helps build new computer languages and improve existing languages. The LLVM project is a collection of modular and reusable compiler and toolchain technologies. LLVM is a compiler and a toolkit for building compilers, which are programs that convert instructions into a form that can be read and executed by a computer. Today, LLVM has broadened its scope to include many different academic research, commercial and open source projects that have little relationship to virtual machines. The goal of the LLVM project was to provide a SSA-based (static single assignment) compilation strategy. It studied compilation techniques for dynamic programming languages and LLVM static analysis. The LLVM project started in 2000 as research at the University of Illinois. LLVM was originally an acronym for low level virtual machine. Image from Jacopo Mangiavacchi via Medium ![]()
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