Denaro CUDA miner (pool)

Usage

Download the latest files, you'll need just cuda.

Use ./cuda --help to see the full list of arguments.
Let's look at them:

• --address - your wallet address, you can get it from https://t.me/DenaroCoinBot (learn about multi-address support)
• --node - node address to connect to
• --pool - pool address to connect to
• --silent - don't print anything to stdout
• --verbose - don't clear stdout after each share (useful for debugging)
• --device - GPU device ID, you can get it from nvidia-smi
• --threads - number of threads related to GPU
• --blocks - number of blocks related to GPU
• --share - difficulty of shares, increase it if you see a lot of shares
• --fee - dev fee, means that 1 every X blocks are mined by the dev (me <3)

Platforms

This miner is tested on both Linux and Windows (WSL 2).
Obviously it is working only on NVIDIA GPUs.

Installation

git clone https://github.com/geiccobs/denaro-cuda-miner
cd denaro-cuda-miner

Compiling by source

You can skip this if you want to use pre-built binary.
Install CUDA toolkit

sudo apt install libjson-c-dev libcurl4-openssl-dev
nvcc -std=c++11 -O3 -arch=sm_70 --ptxas-options=-v -use_fast_math --compiler-options '-fPIC' -lineinfo main.cu requests.cu kernel/kernel.cu crypto/base58.cu crypto/sha256.cu crypto/hex.cu -lcurl -ljson-c -o cuda

Discussed topics

Dev fee

I've done this work basically for free, without having any idea about CUDA, nor an NVIDIA GPU.
Dev fee can be obviously turned off, just by setting --fee parameter to huge values or 0.

Multiple GPUs

I'll be working on it.
Currently, you can select which GPU to use by setting --device parameter, but you can't use multiple GPUs at the same time.

Avoid crashing

To avoid your miner stopping after a crash (because yes, it can always happen) you can start it using the following command in your terminal:

while true; do ./cuda --address YOUR_ADDRESS; sleep 1; done

There you go, your miner won't need to be manually restarted after any issue.

Multi-address

Multi-address support is available, you can use it by setting --address parameter to a comma-separated list of addresses.

Here's an example:

./cuda --address YOUR_ADDRESS,ADDRESS_2,ADDRESS_3