Search Results for "llvm"
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Showing 128 open source projects for "llvm"
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The LLVM Compiler Infrastructure
Collection of modular and reusable compiler and toolchain technologies
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Despite its name, LLVM has little to do with traditional virtual machines. LLVM began as a research project at the University of Illinois, with the goal of providing a modern, SSA-based compilation strategy capable of supporting both static and dynamic compilation of arbitrary programming languages. -
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LLVM.jl
Julia wrapper for the LLVM C API
A Julia wrapper for the LLVM C API. The LLVM.jl package is a Julia wrapper for the LLVM C API, and can be used to work with the LLVM compiler framework from Julia. You can use the package to work with LLVM code generated by Julia, to interoperate with the Julia compiler, or to create your own compiler. It is heavily used by the different GPU compilers for the Julia programming language. -
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nlvm
LLVM-based compiler for the Nim language
nlvm is an LLVM-based compiler for the Nim programming language, aiming to leverage LLVM's optimization capabilities for improved performance. -
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llvm-binaries
Unofficial builds of LLVM for Linux and Windows.
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Emscripten
Emscripten: An LLVM-to-WebAssembly Compiler
Emscripten is a complete open-source compiler toolchain that transforms C, C++, and other LLVM-based source code into WebAssembly (and JavaScript), enabling native‑like applications to run in web browsers, Node.js, and other Wasm environments. While Emscripten mostly focuses on compiling C and C++ using Clang, it can be integrated with other LLVM-using compilers (for example, Rust has Emscripten integration, with the wasm32-unknown-emscripten and asmjs-unknown-emscripten targets). ... -
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Cthulhu.jl
The slow descent into madness
Cthulhu.jl is a powerful introspection tool for exploring the Julia compiler’s method dispatch and type inference system. It allows users to interactively descend into the type-inferred lowered and LLVM IR of Julia functions from the REPL. This makes it ideal for developers who want to optimize performance, debug type instability, or understand how Julia compiles code. Named after the Lovecraftian idea of descending into madness, Cthulhu reveals the "underworld" of Julia compilation. -
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Solang
Solidity Compiler for Solana, Polkadot and Stellar
...Unlike the traditional Solidity compiler, which targets the Ethereum Virtual Machine, Solang focuses on portability by translating Solidity code into native execution environments for different blockchains. It uses the LLVM compiler framework to generate optimized output, often producing WebAssembly or platform-specific binaries that improve execution efficiency and reduce resource consumption. The project maintains compatibility with Solidity 0.8 syntax while adapting to the unique constraints and capabilities of each target blockchain. Its architecture includes parsing, semantic analysis, intermediate representation generation, and final compilation through LLVM, making it a full-featured compiler pipeline. -
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Scala Native
Your favorite language gets closer to bare metal
...Calling C code has never been easier. With the help of extern objects you can seamlessly call native code without any runtime overhead. Scala Native is compiled ahead of time via LLVM. This means that there is no sluggish warm-up phase that’s common for just-in-time compilers. Your code is immediately fast and ready for action. Scala Native requires Clang, which is part of the LLVM toolchain. The recommended LLVM version is the most recent available for your system provided that it works with Scala Native. Scala Native uses the Immix garbage collector by default. ... -
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Carbon Language
Carbon Language's main repository
Carbon is an experimental successor to C++, developed by Google to serve as a modern, safer, and more evolvable systems programming language—designed to interoperate with C++ while providing clearer language design and tooling. Performance matching C++ using LLVM, with low-level access to bits and addresses. Interoperate with your existing C++ code, from inheritance to templates. Fast and scalable builds that work with your existing C++ build systems. -
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Enzyme.jl
Julia bindings for the Enzyme automatic differentiator
...This is very much a work in progress and bug reports/discussion is greatly appreciated. Enzyme is a plugin that performs automatic differentiation (AD) of statically analyzable LLVM. It is highly-efficient and its ability perform AD on optimized code allows Enzyme to meet or exceed the performance of state-of-the-art AD tools. -
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TinyGo
Go compiler for small place
...TinyGo is a Go compiler intended for use in small places such as microcontrollers, WebAssembly (Wasm), and command-line tools. It reuses libraries used by the Go language tools alongside LLVM to provide an alternative way to compile programs written in the Go programming language. While TinyGo embeds the Clang compiler to parse import "C" blocks, many features of Cgo are still unsupported. -
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clangd
clangd language server
clangd understands your C++ code and adds smart features to your editor: code completion, compile errors, definition, and more. clangd is a language server that can work with many editors via a plugin. Here’s Visual Studio Code with the clangd plugin, demonstrating code completion. -
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Triton
Development repository for the Triton language and compiler
...Triton enables users to write optimized kernels for machine learning workloads while maintaining readability and control over performance-critical aspects like memory access patterns and parallel execution. The project leverages LLVM and MLIR to compile code into efficient GPU instructions, supporting both NVIDIA and AMD hardware. It is widely used in research and production environments where custom tensor operations are required, offering both high performance and developer-friendly syntax. -
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Taichi
Productive, portable, and performant GPU programming in Python
Taichi is an open-source, embedded DSL within Python designed for high-performance numerical and physical simulations. It uses JIT compilation (via LLVM and its runtime TiRT) to offload compute-heavy code to CPUs, GPUs, mobile devices, and embedded systems. With built-in support for sparse data structures (SNode), automatic differentiation, AOT deployment, and compatibility with CUDA, Vulkan, Metal, and OpenGL ES, it empowers disciplines like simulation, graphics, AI, and robotics -
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Numba
NumPy aware dynamic Python compiler using LLVM
Numba is an open source JIT compiler that translates a subset of Python and NumPy code into fast machine code. Numba translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. Numba-compiled numerical algorithms in Python can approach the speeds of C or FORTRAN. You don't need to replace the Python interpreter, run a separate compilation step, or even have a C/C++ compiler installed. Just apply one of the Numba decorators to your Python function, and Numba does the rest. Numba is designed to be used with NumPy arrays and functions. ... -
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npm-clang-format-node
Node repackaging(wrapping) of the LLVM Clang's clang-format
A Node.js package that integrates the clang-format tool for formatting C, C++, and JavaScript code, enhancing code quality and consistency. -
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Expat
Fast streaming XML parser written in C99 with >90% test coverage
Welcome to Expat, a stream-oriented XML parser library written in C. Expat excels with files too large to fit RAM, and where performance and flexibility are crucial. There are a number of applications, libraries, and hardware using Expat, as well as bindings and 3rd-party wrappers. Expat is packaged everywhere. This is Expat, a C99 library for parsing XML 1.0 Fourth Edition, started by James Clark in 1997. Expat is a stream-oriented XML parser. This means that you register handlers with the... -
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mold
A Modern Linker
...It is capable of utilizing all available CPU cores efficiently, resulting in significantly faster linking compared to other popular linkers such as GNU ld, gold, and LLVM lld. The tool is designed to integrate seamlessly into existing build systems, requiring minimal configuration changes to adopt. Mold supports a wide range of architectures, including x86-64, ARM, RISC-V, and PowerPC, making it suitable for diverse development environments. -
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Thorium
High-performance, privacy-focused browser built as a fork of Chromium
Thorium is a high-performance, privacy-focused web browser built as a fork of Chromium. It is designed to deliver significantly faster browsing speeds through aggressive compiler optimizations such as SSE4.2 and AVX. These low-level enhancements allow Thorium to outperform standard Chrome and Chromium builds in responsiveness and efficiency. The browser removes much of Google’s built-in bloat to create a leaner browsing experience. Thorium also includes additional privacy features that... -
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LFortran
Official main repository for LFortran
LFortran is a modern open-source (BSD licensed) interactive Fortran compiler built on top of LLVM. It can execute the user’s code interactively to allow exploratory work (much like Python, MATLAB or Julia) as well as compile binaries with the goal of running the user’s code on modern architectures such as multi-core CPUs and GPUs. LFortran is in alpha (it is expected to not work on third-party codes and users enthusiastically participate in bug reporting and fixing). -
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Corbett-LLVM-BUILDS
LLVM -Builds
...Source: Built from the LLVM Project — https://github.com/llvm/llvm-project -
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Vortex
The LLVM of columnar file formats
Vortex is a high-performance toolkit designed for working with compressed Apache Arrow arrays, providing functionality for in-memory, on-disk, and over-the-wire data handling. It aims to be an advanced successor to Apache Parquet, offering dramatically faster random access reads and scans, while maintaining similar compression ratios. Vortex's modular design allows for extensibility, enabling developers to implement custom encodings for efficient data management, particularly for large-scale... -
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GHDL
VHDL 2008/93/87 simulator
...Native program execution is the only way for high-speed simulation. Full support for the 1987, 1993, 2002 versions of the IEEE 1076 VHDL standard, and partial for the 2008 and 2019 revisions. By using a code generator (LLVM, GCC or, x86_64/i386 only, a built-in one), it is much faster than any interpreted simulator. It can handle very large designs, such as leon3/grlib. GHDL runs on GNU/Linux, Windows and macOS; on x86, x86_64, armv6/armv7/aarch32, aarch64 and ppc64. You can freely download nightly assets, use OCI images (aka Docker/Podman containers), or try building it on your own machine. -
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Clang.jl
C binding generator and Julia interface to libclang
This package provides a Julia language wrapper for libclang: the stable, C-exported interface to the LLVM Clang compiler. The libclang API documentation provides background on the functionality available through libclang, and thus through the Julia wrapper. The repository also hosts related tools built on top of libclang functionality. -
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StaticArrays.jl
Statically sized arrays for Julia
StaticArrays.jl is a Julia package that provides statically sized arrays with fast, stack-allocated memory storage and optimized performance for small array computations. It is particularly useful in numerical computing where small fixed-size matrices or vectors are used frequently, such as in robotics, physics simulations, or linear algebra. StaticArrays eliminate dynamic memory allocation overhead and enable compile-time optimizations for performance close to hand-written loops.
