ccsolominer
Based on Christian Buchner's & Christian H.'s CUDA project, no more active on github recently.
ccsolominer is a merge of the current version of ccminer and the older nanashi solo fork. This brings optimized kernels and newer algorithms to a solo miner, while still having the same features as the current version.
find a fork of ccminer with better performance or new algorithms? open an issue or pull request and I will add them in
Fork by tpruvot@github with X14,X15,X17,Blake256,BlakeCoin,Lyra2RE,Skein,ZR5 and others, check the README.txt
Beanjo55(ccsolominer):
GRLC donation address: GVQ1sXh9xDefzFHVmFGPTi6NVHjhEQfa7S
BTC donation address: 13ARVGF6XhJ6ytSrikcbzRfFQhJ5DoLECj
ETH donation address: 0x04955CCE2Cb5e0E4a7a4F6ba96686A25374FB1Bd
LTC donation address: LTUdZR9LZWuM5Xi2cLTG8qqbQ3GfLPnoZ2
RVN donation address: RP3qhgGWe6DmDVPaWjERVLHrhRCNYM6jaK
tpruvot(ccminer):
BTC donation address: 1AJdfCpLWPNoAMDfHF1wD5y8VgKSSTHxPo (tpruvot)
Brian112358 (Nevermore Miner)
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BTC: 1FHLroBZaB74QvQW5mBmAxCNVJNXa14mH5
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RVN: RWoSZX6j6WU6SVTVq5hKmdgPmmrYE9be5R
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ETH: 0x7255ba772ee18bdb8b9af0bdeae2e41f5874fb0b
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DOGE: D7h81HeRVV3xPWL9CqCC2Z6AevG4gBdGxZ
alexis78 (some optimized CUDA kernels for x16r)
- RVN: RYKaoWqR5uahFioNvxabQtEBjNkBmRoRdg
A part of the recent algos were originally written by djm34 and alexis78.
This variant was tested and built on Linux (ubuntu server 14.04) and VStudio 2013 on Windows 7.
Note that the x86 releases are generally faster than x64 ones on Windows.
The required CUDA Toolkit version is 9.1
About source code dependencies
This project requires some libraries to be built :
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OpenSSL (prebuilt for win)
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Curl (prebuilt for win)
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pthreads (prebuilt for win)
The tree now contains recent prebuilt openssl and curl .lib for both x86 and x64 platforms (windows).
To rebuild them, you need to clone this repository and its submodules : git clone https://github.com/peters/curl-for-windows.git compat/curl-for-windows
On Linux, you can use the helper ./build.sh (edit it if required)
There is also an old Tutorial for windows on CudaMining website.