All About BTC, LTC, ETH mining as well as other alternative crypto currencies
We have compiled a Windows binary for the new ccMiner Lyra2RE fork by djm34 (source) that offers improved performance for the Lyra2RE algorithm for GPU mining on Nvidia-based video cards. Our Windows binary is compiled with VS2013 and CUDA 6.5 and supports Compute 3.5, 5.0 and 5.2 GPUs, so you can download and try it from the link below if you have compatible hardware. We are seeing a significant improvement from the previous hashrates that were available in ccMiner. For example a non-overclocked GeForce GTX 980 has jumped from around 1325 KHS to about 2126 KHS with this new release, while with a GTX 750 Ti you can get a hashrate slightly lower compared to what was previously available on the GTX 980. A GeForce GTX 980 Ti card has jumped from about 2024 KHS to 2747 KHS, again non-overclocked results as with some OC and higher intensity you can get some extra performance.
A quick update in the form of a new Windows binary compiled from the latest Git source code of ccMiner 1.5.53-git SP-MOD fork of the Nvidia GPU miner optimized for the latest Maxwell-based video cards by SP (source). This latest update includes some more fixes and performance improvements in X13 as well as some additional Quark optimizations. The SP-MOD fork of ccMiner is designed for Nvidia Maxwell GPUs such as the already available GTX 750, 750 Ti as well as the newer GTX 960, GTX 970, GTX 980 and GTX 980 Ti and GTX Titan X. The Windows binary release we have made available here is with support for Compute 5.0 and Compute 5.2 GPUs or with other words only for Maxwell-based cards compiled with CUDA 6.5 and VS2013.
We have compiled a new up to date Windows binary from the latest ccMiner 1.6.5-git by tpruvot (source). The latest version includes numerous improvements and fixes, including basic support for CUDA 7.0, though apparently it is running slower when compiled with it. There are performance optimizations for the following supported algorithms: qubit, deep, luffa, x11 and quark as compared to the previous version. Our windows binary is compiled with VS2013 and CUDA 6.5 and supports Compute 3.5, 5.0 and 5.2 GPUs. You can download and try it below, there is an example BAT file setup for testing the multiple pool support.