<commit_before><p align="center"><img src="doc/raptorjit.png" alt="RaptorJIT"></p>

[![Build Status](https://travis-ci.org/raptorjit/raptorjit.svg?branch=master)](https://travis-ci.org/raptorjit/raptorjit)

**RaptorJIT** is a fork of LuaJIT focused on _predictably high performance_.

Making performance predictable for application developers brings new requirements:

- Providing an accurate mental model of how the JIT works and which programming techniques are effective.
- Providing diagnostic tools ([Studio](https://hydra.snabb.co/job/lukego/studio-manual/studio-manual-html/latest/download-by-type/file/Manual#view-hot-traces)) consistent with this mental model to make the actual operation transparent.
- Making profiling completely ubiquitous in development, testing, and production environments.<commit_msg>README: Re-introduce goal of minimizing non-deterministic performance<commit_after><p align="center"><img src="doc/raptorjit.png" alt="RaptorJIT"></p>

[![Build Status](https://travis-ci.org/raptorjit/raptorjit.svg?branch=master)](https://travis-ci.org/raptorjit/raptorjit)

**RaptorJIT** is a fork of LuaJIT focused on _predictably high performance_.

Making performance predictable for application developers brings new requirements:

- Minimizing the performance impact of non-deterministic JIT decisions.
- Providing an accurate mental model of how the JIT works and which programming techniques are effective.
- Providing diagnostic tools ([Studio](https://hydra.snabb.co/job/lukego/studio-manual/studio-manual-html/latest/download-by-type/file/Manual#view-hot-traces)) consistent with this mental model to make the actual operation transparent.
- Making profiling completely ubiquitous in development, testing, and production environments.
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