Posts Tagged ‘Grin’

New GMiner 2.07 With a Performance Boost for the Cuckatoo32 Algorithm

26, Apr 2020

The latest GMiner 2.07 Nvidia and AMD GPU miner continues improving the Cuckatoo32 performance with the latest update capable of delivering up to +20% performance boost depending on the GPU and OC mode used according to the developer. Definitely a nice improvement worth an updating if you are mining anything that uses the Cuckatoo32 algo, but also have in mind that the default developer fee for the Cuckatoo32 algorithm is set at 3% and is not the standard 2% as for most other algorithms supported by GMiner.

The GMiner miner software was originally only an Nvidia GPU miner, although some algorithms are already supported on AMD GPUs as well. Do note that GMiner is a closed source miner for Nvidia and AMD GPUs with binaries available for both Windows and Linux, there is a 2% developer fee built-in the software.

– To download and try the latest release of the Gminer v2.07 Nvidia and AMD GPU miner…

New lolMiner 1.0 alpha 1 OpenCL Miner With Support for Cuckaroo-30 for Cortex (CTXC)

18, Apr 2020

The latest update of the AMD OpenCL GPU miner lolMiner1.0 alpha 1 brings support for mining Cuckaroo-30 used by Cortex (CTXC). For mining Cortex (CTXC) on Nvidia GPUs you might want to use the latest GMiner, though lolMiner 1.0 alpha 1 should also work using OpenCL on Nvdia-based video cards as well, but the performance may not be optimal as with a mining software relying on CUDA. Do note that the Cuckaroo-30 algorithm needs 7.6 GB of GPU memory, so video cards with less than 8 gigabytes of video memory will not work, also the dev fee is 2.5% for Cortex (CTXC) and not the normal 1% like for for other supported algorithms by the mining software.

Expected Performance for Cortex (Cuckaroo-30):

– AMD Radeon VII: 3.05 g/s (0.073 h/s)
– AMD Vega 64 2.2 g/s (0.053 h/s)
– AMD Vega 56 2.0 g/s (0.048 h/s)
– AMD RX 5700 1.85 g/s (0.044 h/s)
– AMD RX 580 1.25 g/s (0.030 h/s)

We remind you that lolMiner is a closed source AMD OpenCL GPU miner available for Windows and Linux as pre-compiled binaries only and that there is a 1% developer fee for using the software for all supported algorithms. The miner should also work on Nvidia GPUs with OpenCL, however stability and performance could be far from optimal, so it is best for use with AMD GPUs.

– To download and try the latest lolMiner 1.0 alpha 1 OpenCL miner for Windows or Linux…

New NBMiner 29.0 With Support for The New KAWPOW PoW Algorithm

3, Apr 2020

The latest NBMiner 29.0 update comes with added support for the KAWPOW algorithm that is going to soon be used by RavenCoin (RVN)… most likely. The KAWPAW algorithm is based on ProgPoW with some parameters specific for Ravencoin, so a regular ProgPow miner won’t do. So now, besides the official kawpowminer and the recently released Gminer with KAWPOW support you also have a third alternative in the form of the latest NBMiner and others will most likely follow as well. It seems however that all of the miners could be based on the same reference ProgPow codebase and there is currently not much of a performance difference apparently, so it is more like which one you are more used to. Below you can see an official list of the expected performance on popular mining GPUs at default stock settings for the KAWPOW algorithm when using NBMiner:

NBMiner 29.0 KAWPOW Expected Performance:
– Nvidia P106-100: 10.3 MH/S
– Nvidia P104-8G: 17.5 MH/S
– Nvidia GTX 1070 Ti: 13.3 MH/s
– Nvidia GTX 1080 Ti: 22.5 MH/s
– Nvidia GTX 2080: 25.8 MH/s
– AMD Radeon RX 580: 10.3 MH/s

We remind you that the NBMiner is a closed source GPU miner for Nvidia CUDA and now AMD as well that is available for both Windows and Linux operating systems and it has the following developer fee built-in: tensority_ethash 3%, tensority(Pascal) 2%, tensority(Turing) 3%, ethash 0.65%, cuckaroo & cuckatoo & cuckaroo_swap 2%, progpow_sero 2%, sipc 2%, bfc 3%, hns 2%, hns_ethash 3%, trb 2%, trb_ethash 3%, kawpow 2%.

– To download and try the latest NBMiner 29.0 Nvidia and AMD GPU Miner for Windows/Linux…


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