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Updated EWBF Cuda Equihash Miner v0.5 With Better Performance

7 Aug
2018

The latest EWBF Cuda Equihash Miner v0.5 comes with some performance optimizations and fixes for various variations of the Equihash algorithm it supports for GPU mining on Nvidia-based rigs. You can expect to see a speed increase of 3-15% depending on your mining hardware for Equihash 144,5 as well as 2% for Equihash 210,9 with the latest update. The new version also fixes the problem with cropped performance on fast (1080 Ti, Titan) gpus for Equihash 96,5 as well as the “low difficulty shares” problem, on Aion pools for Equihash 210,9. So if you are mining any of the Equihash Equihash 192,7, 144,5, 96,5 or 210,9 variants yo umight want to give this miner a go. Do note it does not support the Equihash 200,9 that was originally the algorithm called Equihash and used by ZCash (ZEC) that is currently mineable by ASIC miners. We are also reminding you that the EWBF Cuda Equihash Miner is a closed source miner, there are CUDA 8.0 and 9.1 binaries available for Windows and Linux and there is a 2% developer fee built-in by default.

– For more information and to download and try the new EWBF Cuda Equihash Miner v0.5…

New Bminer 9.1.0 With Improved Bytom (BTM) Mining Performance

7 Aug
2018

Bytom (BTM) mining support has been introduced in the previous Bminer 9.0.0 release and back then it was faster than the alternative miner. Since then however the NebuTech BTMiner has taken the lead in terms of hashrate. With the new Bminer 9.1.0 that substantially increases the BTM mining speed with up to 30% over the previous version Bminer is catching up, but still a bit behind what the latest NebuTech BTMiner 7.0 is providing.

With Bminer Bytom (BTM) mining support (tensority algorithm) was originally introduced to support f2pool mining and it seems that not all mining pools are still supported, for example Bitmain’s AntPool still does not work in the new version, though the problem is probably related to the pools that use of workers instead of payment addresses. So apart from further improvements in performance this is another thing that needs work in order to be competitive as far as BTM mining goes.

Bminer also supports mining of Equihash and Ethash, but both of these algorithms have been taken over by ASIC miners already or will soon be, even though Ethereum and some other Ethash coins are still often found in the top of most profitable coins to be miner in mining calculators. We remind you that this is a closed source Nvidia GPU miner available for Linux and Windows in the form of pre-compiled binaries and that there is a 2% development fee for BTM and Equihash, 0.65% for Ethash and 1.3% for dual mining Ethash and Blake.

– To download and try the latest release of the Bminer 9.1.0 Nvidia GPU miner…

New Faster Raven x16r/x16s Spmod-git #5 fork of ccminer Available

6 Aug
2018

It has been a while since sp has released open source and free code for a faster miner, but better late than never. The latest Raven x16r/x16s Spmod-git #5 (source) promises 10% increase in performance over the previous release for X16R and X16S algorithms thanks to numerous optimizations to the used algorithms like echo, shabal, simd, sha512, fugue, shavite, groestl and skein. The latest version also has added support for higher intensity values, so you can experiment with that to maybe squeeze some additional performance. The Github repository only has an official Windows binary, 32-bit CUDA 9.2, so if you need something else you would need to compile from source yourself.

Comparing the performance of the new Raven x16r/x16s Spmod-git #5 miner to the recently released z-enemy 1.14 miner it is still a bit slower. Maybe it is on par with the previous release 1.12 of z-enemy in terms of hashrate, however you should not forget that the z-enemy miner is a closed source one and comes with a built-in 1% developer fee, while, surprisingly, the Raven x16r/x16s Spmod-git #5 miner is free, open source and with no dev fee.

– To download and try the new faster Raven x16r/x16s Spmod-git #5 miner…

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