The algorithm is memory hard and in order to fit the DAG into memory, it needs 1-2GB of RAM on each GPU.
The GPU miner is implemented in OpenCL. To get openCL for your chipset and platform as follows:
AMD SDK openCL
NVIDIA CUDA openCL
Ubuntu 16.04 does not officially support CUDA, But you can use the sudo apt install nvidia-cuda-dev
- If you using Windows os, install the following dependency.
Software | link |
---|---|
C++ Redistributable | http://www.microsoft.com/en-us/download/details.aspx?id=48145 |
Windows SDK | https://dev.windows.com/en-us/downloads/windows-10-sdk |
- If you using Ubuntu os, install the following dependency.
git clone https://github.com/elementrem/webthree-umbrella
cd webthree-umbrella/dependency/ubuntu_16.04
sudo dpkg -i libqt5core5a_5.4.2+dfsg-2ubuntu9_amd64.deb
sudo dpkg -i libqt5qml5_5.4.2-1ubuntu6_amd64.deb
sudo dpkg -i libqt5webengine5_5.4.1+1wily-0ubuntu1_amd64.deb
sudo dpkg -i libqt5webengine5-dev_5.4.1+1wily-0ubuntu1_amd64.deb
sudo dpkg -i qml-module-qtwebengine_5.4.1+1wily-0ubuntu1_amd64.deb
sudo dpkg -i libcryptopp-dev_5.6.2+0wily-0ubuntu1_amd64.deb
gele downloads
go-elementrem gele or Elementrem mist wallet
Mist-wallet gele path = <Elementrem-Wallet Directory>\resources\node\gele
- Run
gele --rpc
Do not run Mist first. You must open the gele rpc. Rpc port is set automaticallylocalhost:7075
Launchgele --rpc
followed by Elementrem-mist-wallet
eleminer download webthree-umbrella
- Run
eleminer -G
// G option enables the GPU mining.
- start Elementrem-mist-Wallet
- open CMD(in windows) , terminal(in linux)
move to your path =<Elementrem-Wallet Directory>\resources\node\gele
rungele attach
- in console mode
run> web3.admin.startRPC()
// RPC open command in console
eleminer download webthree-umbrella
- Run
eleminer -G
// G option enables the GPU mining.