RandomX_CUDA
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Published
20 hours ago •
SChernykh
SChernykh
RandomX CUDA implementation
RandomX CUDA implementation
This repository contains full RandomX implementation for NVIDIA GPUs. The latest version of RandomX (1.1.0 as of August 30th, 2019) is supported.
Note: it's only a benchmark/testing tool, not an actual miner. RandomX hashrate is expected to improve somewhat in the future thanks to further optimizations.
GPUs tested so far:
| Model | CryptonightR H/S | RandomX H/S | Relative speed |
|---|---|---|---|
| GTX 1050 2GB (stock) | 299 (75 W) | 181 (75 W) | 60.5% |
| GTX 1660 Ti max overclock (2070/13760 MHz) | 626 (98 W) | 671 (103 W) | 107.2% |
| GTX 1660 Ti low power (1785/13760 MHz) | 604 (70 W) | 567 (70 W) | 93.9% |
| GTX 1070 (1850/7600 MHz) [1] | 612 (89 W) | 609 (108 W) | 99.5% |
| GTX 1070 Ti (1900/7600 MHz) [2] | 625 (97 W) | 769 (123 W) | 123.0% |
| GTX 1080 Ti (1930/10010 MHz)[3] | 787 (145 W) | 1136 (190 W) | 144.3% |
| GTX 1080 Ti (2037/11800 MHz) | 927 (183 W) | 1122 (190 W) | 121.0% |
| RTX 2080 (1980/13740 MHz) [4] | 828 (142 W) | 1191 (189 W) | 143.8% |
| RTX 2080 Ti (1915/13600 MHz) [5] | 1105 (197 W) | 1641 (242 W) | 148.5% |
| Titan V (1335/850 MHz) [6] | 1436 (101 W) | 2199 (125 W) | 153.1% |
| Tesla V100 (1530/877 MHz) [7] | 1798 (134 W) | 2524 (177 W) | 140.4% |
Building on Windows
- Install Visual Studio 2017 Community and NVIDIA CUDA 10.1
- Open .sln file in Visual Studio and build it
Building on Ubuntu
sudo apt install build-essential git nvidia-cuda-toolkit
git clone --recursive https://github.com/SChernykh/RandomX_CUDA/
cd RandomX_CUDA
make
Donations
If you'd like to support further development/optimization of RandomX miners (both CPU and AMD/NVIDIA), you're welcome to send any amount of XMR to the following address:
44MnN1f3Eto8DZYUWuE5XZNUtE3vcRzt2j6PzqWpPau34e6Cf4fAxt6X2MBmrm6F9YMEiMNjN6W4Shn4pLcfNAja621jwyg
SChernykh