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[![GitHub stars](https://img.shields.io/github/stars/xmrig/xmrig.svg)](https://github.com/xmrig/xmrig/stargazers)
[![GitHub forks](https://img.shields.io/github/forks/xmrig/xmrig.svg)](https://github.com/xmrig/xmrig/network)
XMRig is a high performance Monero (XMR) CPU miner, with official support for Windows.
Originally based on cpuminer-multi with heavy optimizations/rewrites and removing a lot of legacy code, since version 1.0.0 completely rewritten from scratch on C++.
XMRig is a high performance RandomX and CryptoNight CPU miner, with official support for Windows.
* This is the **CPU-mining** version, there is also a [NVIDIA GPU version](https://github.com/xmrig/xmrig-nvidia) and [AMD GPU version]( https://github.com/xmrig/xmrig-amd).
* [Roadmap](https://github.com/xmrig/xmrig/issues/106) for next releases.
<img src="doc/screenshot.png" width="808" >
#### Table of contents
* [Features](#features)
* [Download](#download)
* [Usage](#usage)
* [Algorithm variations](#algorithm-variations)
* [Build](https://github.com/xmrig/xmrig/wiki/Build)
* [Common Issues](#common-issues)
* [Other information](#other-information)
* [Donations](#donations)
* [Release checksums](#release-checksums)
* [Contacts](#contacts)
## Features
* High performance.
* Official Windows support.
* Small Windows executable, without dependencies.
* x86/x64 support.
* Support for backup (failover) mining server.
* keepalived support.
* Command line options compatible with cpuminer.
* CryptoNight-Lite support for AEON.
* Smart automatic [CPU configuration](https://github.com/xmrig/xmrig/wiki/Threads).
* Nicehash support
* It's open source software.
## Download
* Binary releases: https://github.com/xmrig/xmrig/releases
* Git tree: https://github.com/xmrig/xmrig.git
@ -95,48 +75,8 @@ Use [config.xmrig.com](https://config.xmrig.com/xmrig) to generate, edit or shar
Also you can use configuration via config file, default name **config.json**. Some options available only via config file: [`autosave`](https://github.com/xmrig/xmrig/issues/767), [`hw-aes`](https://github.com/xmrig/xmrig/issues/563). `watch` option currently not implemented in miners only in proxy.
## Algorithm variations
- `av` option used for automatic and simple threads mode (when you specify only threads count).
- For [advanced threads mode](https://github.com/xmrig/xmrig/issues/563) each thread configured individually and `av` option not used.
| av | Hashes per round | Hardware AES |
|----|------------------|--------------|
| 1 | 1 (Single) | yes |
| 2 | 2 (Double) | yes |
| 3 | 1 (Single) | no |
| 4 | 2 (Double) | no |
| 5 | 3 (Triple) | yes |
| 6 | 4 (Quard) | yes |
| 7 | 5 (Penta) | yes |
| 8 | 3 (Triple) | no |
| 9 | 4 (Quard) | no |
| 10 | 5 (Penta) | no |
## Common Issues
### HUGE PAGES unavailable
* Run XMRig as Administrator.
* Since version 0.8.0 XMRig automatically enables SeLockMemoryPrivilege for current user, but reboot or sign out still required. [Manual instruction](https://msdn.microsoft.com/en-gb/library/ms190730.aspx).
## Other information
* No HTTP support, only stratum protocol support.
* Default donation 5% (5 minutes in 100 minutes) can be reduced to 1% via option `donate-level`.
### CPU mining performance
* **Intel i7-7700** - 307 H/s (4 threads)
* **AMD Ryzen 7 1700X** - 560 H/s (8 threads)
Please note performance is highly dependent on system load. The numbers above are obtained on an idle system. Tasks heavily using a processor cache, such as video playback, can greatly degrade hashrate. Optimal number of threads depends on the size of the L3 cache of a processor, 1 thread requires 2 MB of cache.
### Maximum performance checklist
* Idle operating system.
* Do not exceed optimal thread count.
* Use modern CPUs with AES-NI instruction set.
* Try setup optimal cpu affinity.
* Enable fast memory (Large/Huge pages).
## Donations
* Default donation 5% (5 minutes in 100 minutes) can be reduced to 1% via option `donate-level` or disabled in source code.
* XMR: `48edfHu7V9Z84YzzMa6fUueoELZ9ZRXq9VetWzYGzKt52XU5xvqgzYnDK9URnRoJMk1j8nLwEVsaSWJ4fhdUyZijBGUicoD`
* BTC: `1P7ujsXeX7GxQwHNnJsRMgAdNkFZmNVqJT`