Search Results for "jit"

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. ...

...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. ...

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.

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.

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. ...

...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.

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...

...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.

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...

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.

ZLR is a Z-Machine interpreter designed to run modern interactive fiction games.

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

https://github.com/egloo/eglooframework

A virtual machine providing a dynamic, portable assembler; JIT compilation; C bindings; and Forth semantics.

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.

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.

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.