All About BTC, LTC, ETH mining as well as other alternative crypto currencies
We have compiled a new windows binary of the ccMiner 1.4.7.SP (source) fork with optimized kernels for Nvidia Maxwell GPUs supporting Compute 5.0 (GTX 750 / 750 Ti) and Compute 5.2 (GTX 970 / GTX 980) that includes some slight performance improvements for the Blake, Echo and Shavite algorithms as well as other more general optimizations that should result in slightly faster hashrate on some of the algorithms supported by the miner. The windows binary you can download below is compiled with VS2013 and CUDA 6.5 and is only for Nvidia Maxwell GPUs, it will not worl on older hardware – for older Nvidia cards you can use tpruvot’s ccMiner fork that should also work on Compute 3.0 and 3.5 GPUs.
There is a new beta version of the ccMiner fork optimized especially for miners using Maxwell-based GPUs from Nvidia such as GTX 750, GTX 750 Ti, GTX 970 and GTX 980 supporting Compute 5.0 or 5.2 by SP. The new ccMiner release 1.4.7.SP (source) comes with some performance improvements for GTX 980 for the X11, X13, X15 algorithms as well as with multiple improvements for other algorithm supported and some increase in hashrate for GTX 750 Ti as well. The initial 1.4.7 release did have some issues with the X-based algorithms on GTX 750 however, so we’ve waited for these to be fixed and now it should work on GTX 750 Ti as well. We have a windows binary available from the latest source with all of the fixes and improvements available for download, it is compiled with VS2013 and the latest CUDA 6.5 version available in a single binary with support for both Compute 5.0 and Compute 5.2. Do note that older Nvidia video cards are not supported with this release, you should go for the latest tpruvot miner for older Nvidia-based GPUs. On a non-overclocked GeForce GTX 980 we are now getting up to about 7700 KHS for X11 as opposed to about 7550 KHS using the previous 1.4.6.SP beta miner that we have posted a windows binary of a few days ago, on GTX 750 Ti the improvements are not so notable.