Search Results for "backend"

Apache TVM is an open source machine learning compiler framework for CPUs, GPUs, and machine learning accelerators. It aims to enable machine learning engineers to optimize and run computations efficiently on any hardware backend. The vision of the Apache TVM Project is to host a diverse community of experts and practitioners in machine learning, compilers, and systems architecture to build an accessible, extensible, and automated open-source framework that optimizes current and emerging machine learning models for any hardware platform. Compilation of deep learning models in Keras, MXNet, PyTorch, Tensorflow, CoreML, DarkNet and more. ...

...Binaryen's optimizer has many passes (see an overview later down) that can improve code size and speed. These optimizations aim to make Binaryen powerful enough to be used as a compiler backend by itself.

GHCJS is a Haskell-to-JavaScript compiler that reuses GHC’s front end to compile Haskell source into JavaScript for execution in browsers and Node.js. It aims to preserve Haskell’s semantics—including laziness and rich types—by shipping a small runtime and shims for core libraries. Developers write normal Haskell, use Cabal/Stack to build, then bundle the generated JavaScript alongside required support code. Interoperability with the JavaScript world is provided through a foreign-function...

Brook+ is a high level C-like language with extensions for stream programming on different compute devices such as CPUs and GPUs. Supports an ATI CAL and x86 CPU backend. Keywords : GPGPU, GPU Computing, HPC

a delegate compiler and a numerical scripting language (like syscalls). the compiler is done in concept but the backend is still in the brainstorming phase.

System C# (scs) - Port of the C# language for generating highly optimized system code to C++ C or GCC backend. SCS is not JIT'ed, does not need GC, includes c/c++ header files, has full macro support, and allows fine control of all generated code.

RUG is an universal machine-friendly binary file generator. Together with suitable macro packages, it can be used to assemble executables for almost any known processor. The main goal is to build a backend for a future Scheme translator.

Pass2 Compiler (p2parser) is one part of the frontend of a compiler. To use it, you need Pass1 (lexial analysis) and Pass3 (the backend) which this project doesn't cover.

lcc backend which produces java classes from C input. Although inefficient code is produced, C functionality such as function pointers and gotos are maintained.