Mining Performance of GTX 1080 Ti with ccMiner 2.0 RC2
<img data-attachment-id="8527" data-permalink="http://www.cryptocoinupdates.com/new-ccminer-1-5-1-git-by-tpruvot-with-lyra2re-support-available/" data-orig-file="" data-orig-size="" data-comments-opened="1" data-image-meta="[R_SQUARE_B. " data-image-title="New ccMiner 1.5.1-git by tpruvot With Lyra2RE Support Available" data-image-description="
We have put together a new home windows binary from the most up to date ccMiner 1.5.1-git by tpruvot (source) that comes with assistance for the Lyra2RE formula – – the formula that VertCoin (VTC) is going to be forking to. There is an official ccMiner fork with support for Lyra2RE available, but it appears that tpruvot’s fork is somewhat a lot better in terms of efficiency. We are socializing 1180 KHS with a GTX 980 GPU performing at stock frequencies as well as around 1140 KHS with the official Lyra2RE ccMiner on the exact same equipment. Do note that this is not an official 1.5.1 release from tpruvot, we have simply put together a binary kind the most recent source in order to be able to examine Lyra2RE mining performance on the readily available examination pool. Our home windows binary is compiled with VS2013 and also sustains Compute 3.0, 3.5, 5.0 and also 5.2 GPUs, you can download and install and try it below, there is an example BAT documents configuration for screening hashrate at the Hashlink’s test VTC swimming pool with Lyra2RE assistance.
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We have put with each other a new residence windows binary from the most as much as date ccMiner 1.5.1-git by tpruvot ( Time for an extra team of assessments of the freshly launched GeForce GTX 1080 Ti Owners Version video clip card by Nvidia. This moment we have actually made use of one of the most up to date launched of the ccMiner 2.0 RC2 fork by Tpruvot in order to examine simply exactly how every one of the continual solutions do on the new GPU. Do note that not every one of the supported crypto solutions by this miner might be executing the fastest, so you should certainly use the outcomes as a reference if contrasting occur from 2.0 RC2 launch only. We have actually taken care of to effectively evaluate the hashrate on numerous of the supported formulas by this miner, though we still did have problem making numerous of them function, however that is to be expected with a brand-new GPU release … … We have used ccMiner 2.0 RC2 by tpruvot
in benchmark mode with all of the default setups for toughness on all formulas sustained by the miner. The GeForce GTX 1080 Ti GPU was carrying out at the default 100 % TDP or with numerous other words a Power Limiter at 250W, though on the Creators Version GPUs you can elevate it by as long as 20 % all the method to 300W(mind the air conditioning though ). The examinations were done on stock operating regularities of the video card with the fan assessed 100 % in order to maintain the GPU cool and quit thermal throttling( going down of the increase uniformity)as a result of heat that could be reached with car fans. As you might see in the table with efficiency results over we have published the hashrate and the power usage for every formula checked (if the assessment has actually efficiently passed). The power usage values are the ones reported by the video card itself just and are based after its TDP limitation, not the real worths gauged at the wall (these will absolutely be better). The formulas pressing the 250W TDP limit might have the ability to capitalize on a power limit surge, though you may desire to be careful with that said in regards to having the ability to suitably cool off the card. On the other hand calling for the TDP limited down may bring substantial power decrease with a little sacrifice in regards to hashrate thus offering you far better performance each Watt as compared to the supply setups.
With the BMW formula we got a mistake at the default intensity of 21, in addition to we’ve needed to decrease it to 15 in order to make it function, resulting in actually lowered hashrate. With Cryptonight we got a blunder at the default strength of 10.75, yet to 10.25 it worked as well as you might see the result in the table. With the Reward formula we furthermore obtained an error at the default intensity of 20, nonetheless decreasing it did not appear in order to help in all in addition to the same point likewise connects to the Quark formula. With the Wildkeccak formula we had difficulty making it work properly in benchmark setup due to the specifics of the formula calling for a scratchpad data.
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