Search Results for "jit"
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27 projects for "jit" with 1 filter applied:
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JiT
PyTorch implementation of JiT
JiT is an open-source PyTorch implementation of a state-of-the-art image diffusion model designed around a minimalist yet powerful architecture for pixel-level generative modeling, based on the paper Back to Basics: Let Denoising Generative Models Denoise. Rather than predicting noise, JiT models directly predict clean image data, which the research suggests aligns better with the manifold structure of natural images and leads to stronger generative performance at high resolution. ... -
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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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XLS
XLS: Accelerated HW Synthesis
...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. A key idea is “software-style” iteration: fast, deterministic simulation via the JIT encourages test-driven development and property checking before committing to RTL. XLS also provides tooling for pipelining, state insertion, and formal equivalence checks between different stages, giving developers confidence as designs evolve. ... -
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Fury
A blazing fast multi-language serialization framework
Fury is a blazing-fast multi-language serialization framework powered by jit(just-in-time compilation) and zero-copy, providing up to 170x performance and ultimate ease of use. Based on efficient JIT, struct deserialization can get 170x speed up compared to other serialization frameworks. In serialization scenarios, Fury can achieve a 100x speed up compared to traditional serialization frameworks. If you use Java clusters on a large scale, this will save a lot of computing resources. -
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DeepGEMM
Clean and efficient FP8 GEMM kernels with fine-grained scaling
...It supports both standard and “grouped” GEMMs, which is useful for architectures like Mixture of Experts (MoE) that require segmented matrix multiplications. One distinguishing aspect is that DeepGEMM compiles its kernels at runtime (via a lightweight Just-In-Time (JIT) module), so users don’t need to precompile CUDA kernels before installation. Despite its lean design, it includes scaling strategies (fine-grained scaling) and optimizations inspired by cutting edge systems (drawing from ideas in CUTLASS, CuTe) but in a more streamlined form. -
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Wasmi
Efficient and versatile WebAssembly interpreter for embedded systems
wasmi is a lightweight WebAssembly interpreter written in Rust that is designed to execute Wasm binaries efficiently in constrained or embedded environments. Unlike JIT-based runtimes, wasmi focuses on interpretation, prioritizing portability, determinism, and low resource usage over maximum raw performance. It is particularly well-suited for blockchain systems, embedded devices, and other contexts where predictable execution and minimal dependencies are critical. The runtime implements the WebAssembly specification and provides a safe execution environment with strict sandboxing, ensuring that untrusted code cannot access host resources without explicit permission. wasmi also emphasizes modularity and embeddability, allowing developers to integrate it into their applications with fine-grained control over execution behavior. ... -
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AsmJit
Low-latency machine code generation
AsmJit is a low-level code generation library designed for dynamically creating machine code at runtime, enabling just-in-time (JIT) compilation for performance-critical applications. It provides a high-level API that abstracts away the complexity of writing raw assembly while still allowing fine-grained control over instruction generation. The library supports multiple architectures, including x86 and x64, making it versatile for cross-platform development. It is commonly used in applications such as emulators, compilers, and high-performance computing systems where runtime optimization is essential. asmjit emphasizes low latency and efficiency, ensuring that generated code executes quickly without significant overhead. ... -
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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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Tunix
A JAX-native LLM Post-Training Library
Tunix is a JAX-native library for post-training large language models, bringing supervised fine-tuning, reinforcement learning–based alignment, and knowledge distillation into one coherent toolkit. It embraces JAX’s strengths—functional programming, jit compilation, and effortless multi-device execution—so experiments scale from a single GPU to pods of TPUs with minimal code changes. The library is organized around modular pipelines for data loading, rollout, optimization, and evaluation, letting practitioners swap components without rewriting the whole stack. Examples and reference configs demonstrate end-to-end runs for common model families, helping teams reproduce baselines before customizing. ... -
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Proxy
Proxy: Next Generation Polymorphism in C++
...There are many drawbacks in this mechanism, including life management (because each object may have a different size and ownership) and reflection (because it is hard to balance between usability and memory allocation). To workaround these drawbacks, some languages like Java or C# choose to sacrifice performance by introducing GC to facilitate lifetime management, and JIT-compile the source code at runtime to generate full metadata. We improved the theory and implemented it as a C++ library without sacrificing performance, proposing to merge it into the C++ standard. -
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Diffrax
Numerical differential equation solvers in JAX
Diffrax is a numerical differential equation solving library built for the JAX ecosystem, with a strong focus on composability, differentiability, and high-performance scientific computing. The project provides tools for solving ordinary differential equations, stochastic differential equations, controlled differential equations, and related systems in a way that fits naturally into modern machine learning and differentiable programming workflows. Because it is written to work closely with... -
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Poison
An incredibly fast, pure Elixir JSON library
Poison is a fast and lightweight JSON library for Elixir focused on performance and idiomatic APIs. It provides straightforward encode and decode functions, along with a protocol-based encoder that lets you customize how your structs become JSON. Developers can derive or implement Poison.Encoder for domain types, control which fields are included, and map complex values into JSON-friendly forms. On the decoding side, it supports options for key handling and flexible parsing of JSON into... -
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Luvit
Lua + libUV + jIT = pure awesomesauce
Luvit implements the same APIs as Node.js, but in Lua. This helps teams migrate without having to learn a new way of programming. Choose your async model; we don’t mind; we encourage experimentation. If you don’t like callbacks and event emitters, use coroutines and write blocking-style code without actually blocking your event loop. The various projects in the luvit ecosystem can be mixed and matched to build the ideal runtime for your application. The luvit CLI tool can be used as a... -
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TF Quant Finance
High-performance TensorFlow library for quantitative finance
...It implements pricing engines, risk measures, stochastic models, optimizers, and random number generators that are differentiable and vectorized for accelerators. Users can value options and fixed-income instruments, simulate paths, fit curves, and calibrate models while leveraging TensorFlow’s jit compilation and automatic differentiation. The codebase is organized as modular math and finance primitives so you can combine building blocks or target end-to-end examples. It includes Bazel builds, tests, and example notebooks to accelerate learning and adoption in real workflows. With hardware acceleration and differentiable models, it enables modern techniques like gradient-based calibration and end-to-end learning of market dynamics. -
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V8 JavaScript Engine
The official mirror of the V8 Git repository
V8 is Google’s high-performance, open-source JavaScript and WebAssembly engine written in C++, powering Chrome, Node.js, and embedded in many environments. It implements ECMAScript and WebAssembly standards with optimizations for speed and resource efficiency. V8 is Google's open source JavaScript engine. V8 implements ECMAScript as specified in ECMA-262. V8 is written in C++ and is used in Google Chrome, the open source browser from Google. V8 can run standalone, or can be embedded into any... -
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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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Kaleidoscope
Haskell LLVM JIT Compiler Tutorial
This repository is a Haskell port of the classic LLVM “Kaleidoscope” tutorial that walks you through building a tiny programming language from scratch. It covers the complete pipeline: tokenizing and parsing a simple, expression-oriented language, constructing an AST, and generating LLVM IR with a JIT so you can execute code interactively. Along the way it adds language features like user-defined functions, conditionals, loops, and operator precedence, demonstrating how each addition impacts parsing and codegen. Because it uses Haskell idioms, the code clearly separates pure syntax handling from effectful JIT operations, making the architecture easy to reason about. ... -
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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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MITE HAS MOVED TO GITHUB! Mite is a simple general-purpose VM system that provides fast JIT translation to good native code, and safe interpretation. It is easy to target (the core specification is about 10 pages), and simple to implement (a few thousand lines of ISO C).
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https://github.com/egloo/eglooframework
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A virtual machine providing a dynamic, portable assembler; JIT compilation; C bindings; and Forth semantics.
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A novel Grid System which is Python based and Cell powered. By extending Namespace into GridSpace, any objects are accesable throughout the Grid. And the codes are distributed executed and be JIT compiled into Cell SPE instructions automatically.
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PHPDebugger is used for debugging PHP scripts.It can debug PHP scripts on local as well as remote servers. The Just In Time (JIT) gives the power to debug an entire web application through a Web Server.It has Inbuilt Profiler functionality.
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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.
