It Is All About BTC, LTC, ETH, DOGE, KAS mining as well as other alternative crypto currencies
Another open-source fork of ccMiner called supminer (source) is now available, an optimized version from the operator of the Suprnova mining pools that promises up to 10% better performance than the recently released nevermore ccminer fork. The supminer ccMiner fork comes with with no developer fee, but you can show your support by mining Ravencoin (RVN) on Suprnova’s RVNCoin Pool. There is an official 32-bit Windows binary release available compiled with CUDA 9.1, so make sure you have up to date video drivers on your mining rigs. The code is compatible with Linux as well, though you will need to compile it yourself (make sure you have CUDA 9.1 installed to compile from source).
In theory the supminer should be faster than the other available ccminer forks with X16r support, but you should test and compare the different releases and see what works and performs best on your hardware. Feel free to report hashrates and stability on your mining rigs and how supminer compares to the nevermore and enemy miners. When comparing hashrates make sure you compare on the same algorithm, because hashrate varies depending on the currently switched to algorithm. Do note that the performance optimizations should not work only on the X16r algorithm, but should also help improve performance on other chained algorithms supported by ccminer.
– To download and try the 32-bit Windows binary of the supminer X16r Nvidia miner…
There is now a new optimized open-source fork of ccminer with Ravencoin (RVN) X16r support called nevermore miner (source) that offers better stability compared to the initial ccMiner 2.2.5 with X16r support and similar performance to the closed source ccMiner Enemy 1.03 fork. So if you are worried about closed source miners, you might want to give the nevermore 0.1 miner a try and compile it from the source code yourself. Our initial tests show that the hashrate you get is pretty much the same with very small variation for either of the miners.
There are also official pre-compiled binaries available for Linux and Windows (32-bit and 64-bit) compiled for CUDA 9.0, though do note that these do come with a 1% dev donation fee included as a means to support the developer. You can increase the percentage with a command line parameter if you want to show your support with a higher donation percentage as well. If you compile the miner yourself from source you can remove the developer fee altogether, though you might wan to consider leaving the small 1% developer fee at least for a while.
Raven (RVN) is an interesting coin that has been under the radar for many people up until recently when it got hyped and the interest in it has grown seriously in the past days. Initially the coin was only CPU mineable, then a ccMiner version with support for the X16r algorithm used by the coin was introduced for Nvidia miners by tpruvot however that miner has been a bit troublesome for many users due to power spikes and mining systems rebooting, so people had to reduce TDP or downclock and suffer performance loss in order to mine stable. Fortunately there is a new improved miner available now – ccMiner Enemy 1.03 that offers better performance and more stable mining with higher TDP and clocks (still depending on your hardware).
The ccMiner Enemy 1.03 fork for Raven (RVN) mining is available only as a 32-bit Windows binary for the moment and is compiled for CUDA 8, it supports the X16r algorithm used by RVN as well as X17. For better performance the latest 390.xx drivers from Nvidia are recommended, so make sure you are up to date. If you are mining Raven (RVN) or had plans to do so, but were set back by the problems from the initial miner you should definitely try the new release as it should handle much better. AMD miners are still unable to mine Raven as there is no compatible X16r miner available yet, though there is a substantial bounty for anyone willing to make one.
– To download and try the new ccMiner Enemy 1.03 fork for Raven (RVN) mining on Nvidia GPUs…