Search Results for "jit compiler"
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Showing 21 open source projects for "jit compiler"
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Mercurius
Implement GraphQL servers and gateways with Fastify
Mercurius is a GraphQL adapter for Fastify. Caching of query parsing and validation. Automatic loader integration to avoid 1 + N queries. Just-In-Time compiler via graphql-jit. Federation support via @mercuriusjs/federation, including Subscriptions. Gateway implementation via @mercuriusjs/gateway, including Subscriptions. Batched query support. Customisable persisted queries. -
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XLS
XLS: Accelerated HW Synthesis
XLS is an open-source toolkit for building high-level hardware with a modern compiler stack that spans from a functional DSL to optimized IR and hardware generation. At the front end, DSLX lets you describe algorithms with strong typing and familiar control flow while remaining synthesis-friendly. The compiler lowers DSLX into a rich intermediate representation, applies aggressive optimization and scheduling passes, and can either JIT the design for software simulation or emit Verilog for FPGA/ASIC flows. ... -
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Criterium
Benchmarking library for clojure
Criterium is a robust benchmarking library for Clojure that addresses common statistical and JIT-related issues. It provides accurate timings through warm-up, garbage collection control, and statistical summaries—making microbenchmarking more reliable than using time. Statistical processing of multiple evaluations. Inclusion of a warm-up period, designed to allow the JIT compiler to optimise its code. Purging of gc before testing, to isolate timings from GC state prior to testing. ... -
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WebAssembly Micro Runtime
WebAssembly Micro Runtime (WAMR)
...Developed under the Bytecode Alliance, WAMR emphasizes a small memory footprint and high configurability, enabling it to operate effectively even in constrained hardware environments. The runtime supports multiple execution modes, including interpreter, Ahead-of-Time (AOT) compilation, and Just-in-Time (JIT) compilation, allowing developers to balance performance and portability depending on their needs. WAMR also provides near-native execution speed through its optimized compilation strategies, making it suitable for performance-critical applications. It includes a modular architecture with components such as a runtime core, an AOT compiler, and application frameworks that facilitate real-world deployment scenarios. -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Numba CUDA Target
The CUDA target for Numba
Numba CUDA Target is NVIDIA’s maintained CUDA backend for the Numba JIT compiler, enabling developers to write GPU-accelerated code directly in Python. It allows users to define CUDA kernels using Python syntax, which are then compiled into efficient GPU code at runtime using LLVM-based toolchains. This approach significantly lowers the barrier to entry for GPU programming by eliminating the need to write CUDA C++ while still delivering high performance. -
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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. -
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Jittor
Jittor is a high-performance deep learning framework
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators. The whole framework and meta-operators are compiled just in time. A powerful op compiler and tuner are integrated into Jittor. It allowed us to generate high-performance code specialized for your model. Jittor also contains a wealth of high-performance model libraries, including image recognition, detection, segmentation, generation, differentiable rendering, geometric learning, reinforcement learning, etc. ... -
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LÖVR
Lua Virtual Reality engine
...Out of the box you get fast stereo rendering, VR controllers, hand tracking, haptics, spatial audio, 3D physics, PBR materials, SDF fonts, multiplayer, and more. The entire engine is 1MB and runs on LuaJIT, the fastest JIT compiler round these parts. Projects are just folders with scripts and assets in them, organized however you want. -
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Objeck
Simple ⇒ Object-Oriented ⇒ Functional
Objeck is an object-oriented programming language with functional features. Objeck emphasizes, expression, simplicity, portability, and scalability. The programming environment consists of a compiler, virtual machine, and command line debugger with IDE plugins. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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ts-node
TypeScript execution and REPL for node.js
...Installing modules locally allows you to control and share the versions through package.json. TS Node will always resolve the compiler from cwd before checking relative to its own installation.ts-node exports a create() function that can be used to initialize a TypeScript compiler that isn't registered to require.extensions, and it uses the same code as register. ts-node supports a variety of options which can be specified via tsconfig.json, as CLI flags, as environment variables, or programmatically. -
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Ravi Programming Language
Ravi is a dialect of Lua, featuring limited optional static typing
Ravi Programming Language is a derivative of Lua 5.3 with limited optional static typing and MIR-based JIT compiler. Ravi is a derivative/dialect of Lua with limited optional static typing and JIT/AOT compilers. The name Ravi comes from the Sanskrit word for the Sun. Lua is perfect as a small embeddable dynamic language so why a derivative? Ravi extends Lua with static typing for greater performance under JIT compilation. However, static typing is optional and therefore Lua 5.3 programs are also valid Ravi programs. ... -
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CoreCLR
Runtime for .NET Core
CoreCLR is the runtime for .NET Core, an open source, general purpose development platform maintained by Microsoft and the .NET community. It is a cross-platform runtime for cloud, IoT, and desktop apps and includes a just-in-time compiler called RyuJIT. -
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tailwind-rn
Use Tailwind CSS in React Native projects
...A small CLI tool reads the CSS file produced by Tailwind and transforms it into a JSON file that tailwind-rn can consume, with support for watching and rebuilding whenever Tailwind’s output changes. The library supports Tailwind 3.x and works with the JIT compiler, meaning you can use modern Tailwind utilities in mobile layouts. It is framework-agnostic within the React Native ecosystem and can be used with plain React Native, Expo, and other toolchains. The project is actively used and has issue discussions covering integration with storybook, Prettier’s Tailwind plugin, custom themes, and more. -
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JPHP
JPHP - an implementation of PHP on Java VM
...JPHP is not a replacement for the Zend PHP engine or Facebook HHVM. We don’t plan to implement the zend runtime libraries (e.g. Curl, PRCE, etc.) for JPHP. PHP 7.1+ (and many language features from PHP 7.2, 7.3, 7.4). JIT (~2.5x faster PHP 5.6, ~1.1x faster PHP 7.0, ~13% slower than PHP 7.4, bench). Using java libraries and classes in PHP code. -
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Moonjit
Just-In-Time Compiler for the Lua Programming language
Moonjit is a Just-In-Time Compiler (JIT) for the Lua programming language. Lua is a powerful, dynamic and light-weight programming language. It may be embedded or used as a general-purpose, stand-alone language. Moonjit is a fork of the inactive LuaJIT project and aims to provide a way forward for existing users of LuaJIT looking for continuity in development and maintenance. -
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An implementation of a light-weight stack-less jit compiler for x86 (32/64), ARM (32 [v5,v7,thumb2]/64), PowerPC (32/64), MIPS (32/64) and SPARC (32) architectures. It generates machine code from a platform independent (simplified) assembly language.
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HHVM
A virtual machine for executing programs written in Hack
...This bytecode is then translated into x64 machine code dynamically at runtime by a just-in-time (JIT) compiler. This compilation process allows for all sorts of optimizations that cannot be made in a statically compiled binary, thus enabling higher performance of your Hack programs. -
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nano VM - a small virtual machine with compiler and assembler. features: file I/O, TCP/IP sockets, GUI & sound server, JIT-compiler (x86). platforms: Amiga 68k, AROS, Linux, Windows, Android
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EVM is a 32-bit virtual machine designed for easy implementation. It supports bounds checking, real-time linking and JIT compilation on x86 architecture. No platform-specific calls or byte order dependencies. Comes with an optimizing C compiler.
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Decafcc is a simple just-in-time (JIT) compiler for small programming or data modeling language. The current Decaf project demonstrates how to parse simple C, and how to generate MIPS assemble code.
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