{"id":19715341,"url":"https://github.com/axentro/minaxnt","last_synced_at":"2025-04-29T20:30:37.595Z","repository":{"id":50791127,"uuid":"321827942","full_name":"Axentro/minaxnt","owner":"Axentro","description":"Axentro 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MinAXNT\n\nMinAXNT is a Go implementation of the Axentro mining protocol.\n\nYou can find more information about Axentro on the website: \u003chttps://axentro.io/\u003e.\n\nMinAXNT is well tested on:\n\n* GNU/Linux\n  * x86_64\n  * ARM aarch64 (Raspberry Pi 3 Rev.3, Android smartphone with Termux)\n* MacOS (x86_64)\n* Windows\n  * x86_64\n\n## Install\n\nInstalling MinAXNT is really simple:\n\nFirst: _You need an Axentro wallet address to start mining, please visite the [website](https://axentro.io/) or the [Youtube channel](https://www.youtube.com/watch?v=aZd9ZPfDC2g)_\n\n\u003e You can create a wallet with the [Web wallet](https://axentro.xyz/)\n\n* If you are using an Android device go to the dedicated installation page: \u003chttps://github.com/Axentro/minaxnt/wiki/Install-MinAXNT-on-Android-device/\u003e, otherwise follow the next step\n* Download your platform archive: \u003chttps://github.com/fenicks/minaxnt/releases/\u003e\n* Uncompress the archive to a directory of your choice\n* Open a terminal and go to the MinAXNT directory\n* Run the program as described in _[Usage](#usage)_ section by setting you own address (`-a` parameter)\n\n## Usage\n\n    ./minaxnt -n http://mainnet.axentro.io -a TTBjMjg1NWJmZTIwMTA3MDc3NTZkNjg1MTcxYjE1YmE5ZjU3N2EzODhkYWRiZWIy -p 2\n\nOR\n\n    ./minaxnt --node http://mainnet.axentro.io --address TTBjMjg1NWJmZTIwMTA3MDc3NTZkNjg1MTcxYjE1YmE5ZjU3N2EzODhkYWRiZWIy --process 2\n\nOR\n\n    minaxnt.exe --node http://mainnet.axentro.io --address TTBjMjg1NWJmZTIwMTA3MDc3NTZkNjg1MTcxYjE1YmE5ZjU3N2EzODhkYWRiZWIy --process 2\n\nHave fun !\n\n## Tunning\n\n### CPU Affinity : Hyper-Threaded Architecture\n\nSometime you have to use the same computer for mining and doing other stuff at the same time.\n\nThat's interesting to configure MinAXNT to use only a limited cores in order to use your computer in the same time.\n\nTo use MinAXNT on only 4 cores (the most powerful) go to the section corresponding to your use case:\n\n#### Linux with `taskset`\n\nOn linux the most powerful cores in HT CPU are those who have an _even_ index (0, 2, 4, 6, 8, 10, ...).\n\nMost distribution have `taskset` binary.\n\n    taskset -c 0,2,4,6 ./minaxnt -a TTBjMjg1NWJmZTIwMTA3MDc3NTZkNjg1MTcxYjE1YmE5ZjU3N2EzODhkYWRiZWIy -n http://localhost:3000 -p4\n\nThis way only 4 cores are used for MinAXNT and the others for other stuff like programming, gaming or Internet, ...\n\n#### Windows [WIP]\n\nOn Windows the most powerful cores in HT CPU are those who have an _odd_ index (1, 3, 5, 7, 9, 11, ...).\n\n## Device Performance (Argon2id)\n\n| **Device** | **Type** | **CPU Model** | **Operating System** | **MinAXNT process param** | **Work/s** | **MinAXNT version** |\n|------------|----------|---------------|----------------------|---------------------------|------------|---------------------|\n| **iMac Pro** | Desktop | Intel Xeon W-?? @3.00 GHz 10-core 64-bit | MacOs Catalina | 40 | **160.0 Work/s** | v0.7.0 |\n| **MacBook Pro** | Laptop | Intel Core i9-?? U@2.3 GHz 8-Core 64-bit | MacOS Big sur | 30 | **108.0 Work/s** | v0.7.0 |\n| MinisForum: DMAF5 | Mini-PC | AMD Ryzen 5 3550H with Radeon Vega Mobile Gfx @2.10 GHz 4-core HT (8 vcore) 64-bit | Windows 10 Family (x86_64) | 8 | **69.0 Work/s** | v0.9.0 |\n| Lenovo: Y510P | Laptop | Intel(R) Core(TM) i7-4700MQ @2.40GHz Rev.3 4-core HT (8 vcore) 32-bit-64-bit | Ununtu 18.04 (x86_64) | 8 | **49.0 Work/s** (45 Work/s when using only the 4 physical CPU: `taskset -c 0,2,4,6 ./minaxnt -a xxx -p4`) | v0.9.0 |\n| **IMB/PC** | Laptop | Intel i7-7820 HQ @2.90 GHz  4-core HT (8 vcore) 64-bit | Windows 10 Pro | ?? | **36.0 Work/s** | v0.7.0 |\n| **IBM/PC** | Desktop | Intel(R) Celeron(R) CPU G3900 @ 2.80GHz 2-core 64-bit | Ubuntu 18.04 (aarch64) | 3 | **24.8 Work/s** | v0.10.0 |\n| **Xiaomi MI 6** | Smartphone | Qualcomm Snapdragon 835: 4x Kryo 280 @2.45 GHz, 4x Kryo 280 @1.9 GHz (Octa-core, Cortex A72 or A73) | Android 9 | 8 | **15.7 Work/s** | v0.10.0 |\n| PINE64: ROCKPro64 2Gio RAM | SBC (ARM) | RK3399 Hexa-Core (2x ARM Cortex A72, 2.0GHz + 4x ARM Cortex A53, 1.5GHz)  | Ubuntu 18.04 (aarch64) | 6 | **10.0 Work/s** | v0.7.0 |\n| **Samsung Galaxy A7** | Smartphone | 2 x Cortex-A73 + 6 Cortex-A53 - @2.2 GHz | Android 10 | 2 | **7.0 Work/s** |v0.10.0|\n| Raspberry Pi 4, ?? Gio RAM | SBC (ARM) | 4x ARM Cortex-A72, 1.5GHz | ?? (aarch64) | ?? | **xx.x Work/s** | - |\n| Raspberry Pi 3 Model B Rev 1.2, 1 Gio RAM | SBC (ARM) | 4x ARM Cortex-A53, 1.2GHz | Alpine Linux 5.4.84-0-rpi (aarch64) | 4 | **2.6 Work/s** | v0.9.0 |\n\n## License\n\nThis project is under the MIT License. See the [LICENSE](https://github.com/fenicks/minaxnt/blob/main/LICENSE) file for the full license text.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faxentro%2Fminaxnt","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faxentro%2Fminaxnt","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faxentro%2Fminaxnt/lists"}