Posts Tagged ‘ccminer windows

ccminer-1-6-4-tpruvot

Last year we have published a quick guide to help people with Nvidia-based GPUs to go for the right fork of ccMiner based on their video card capabilities, so it is time we update that guide with the latest Nvidia GPUs. Below is a list of all of the Nvidia-based video cards and their Compute capabilities to help you figure it out depending on what video card you are using. Do note that the list does not include only the consumer Geforce series, but also Quadro and Tesla. You will find the cards that have at least Compute 2.0 capabilities as there is no way to currently make use of an older GPU than a one capable of supporting Compute 2.0 for mining with ccMiner. Furthermore you need to use a special build of ccMiner that comes with support for Compute 2.0 and 2.1 cards as the latest official builds only support Compute 3.0 or newer GPUs (not all of the more recent algorithms are supported). Below is the list of cards and their Compute capabilities you can find links for the respective versions of ccMiner to use…

Compute 2.0 video cards (Fermi – GF100, GF110):
GeForce GTX 590, GeForce GTX 580, GeForce GTX 570, GeForce GTX 480, GeForce GTX 470, GeForce GTX 465, GeForce GTX 480M, Quadro 6000, Quadro 5000, Quadro 4000, Quadro 4000 for Mac, Quadro Plex 7000, Quadro 5010M, Quadro 5000M, Tesla C2075, Tesla C2050/C2070, Tesla M2050/M2070/M2075/M2090

Compute 2.1 video cards (Fermi – GF104, GF106 GF108,GF114, GF116, GF119):
GeForce GTX 560 Ti, GeForce GTX 550 Ti, GeForce GTX 460, GeForce GTS 450, GeForce GTS 450, GeForce GT 640 (GDDR3), GeForce GT 630, GeForce GT 620, GeForce GT 610, GeForce GT 520, GeForce GT 440, GeForce GT 440, GeForce GT 430, GeForce GT 430, GeForce GTX 675M, GeForce GTX 670M, GeForce GT 635M, GeForce GT 630M, GeForce GT 625M, GeForce GT 720M, GeForce GT 620M, GeForce 710M, GeForce 610M, GeForce GTX 580M, GeForce GTX 570M, GeForce GTX 560M, GeForce GT 555M, GeForce GT 550M, GeForce GT 540M, GeForce GT 525M, GeForce GT 520MX, GeForce GT 520M, GeForce GTX 485M, GeForce GTX 470M, GeForce GTX 460M, GeForce GT 445M, GeForce GT 435M, GeForce GT 420M, GeForce GT 415M, GeForce 710M, GeForce 410M, Quadro 2000, Quadro 2000D, Quadro 600, Quadro 410, Quadro 4000M, Quadro 3000M, Quadro 2000M, Quadro 1000M, NVS 5400M, NVS 5200M, NVS 4200M

Compute 3.0 video cards (Kepler – GK104, GK106, GK107):
GeForce GTX 770, GeForce GTX 760, GeForce GT 740, GeForce GTX 690, GeForce GTX 680, GeForce GTX 670, GeForce GTX 660 Ti, GeForce GTX 660, GeForce GTX 650 Ti BOOST, GeForce GTX 650 Ti, GeForce GTX 650, GeForce GTX 780M, GeForce GTX 770M, GeForce GTX 765M, GeForce GTX 760M, GeForce GTX 680MX, GeForce GTX 680M, GeForce GTX 675MX, GeForce GTX 670MX, GeForce GTX 660M, GeForce GT 750M, GeForce GT 650M, GeForce GT 745M, GeForce GT 645M, GeForce GT 740M, GeForce GT 730M, GeForce GT 640M, GeForce GT 640M LE, GeForce GT 735M, GeForce GT 730M, Quadro K5000, Quadro K4000, Quadro K2000, Quadro K2000D, Quadro K600, Quadro K500M, Tesla K10

Compute 3.5 video cards (Kepler – GK110, GK208):
GeForce GTX TITAN Z, GeForce GTX TITAN Black, GeForce GTX TITAN, GeForce GTX 780 Ti, GeForce GTX 780, GeForce GT 640 (GDDR5), GeForce GT 630 v2, Quadro K6000, Tesla K40, Tesla K20x, Tesla K20

Compute 5.0 video cards (Maxwell – GM107, GM108):
GeForce GTX 750 Ti, GeForce GTX 750, GeForce GTX 860M, GeForce GTX 850M, GeForce 845M, GeForce 840M, GeForce 830M, GeForce GTX 960M, GeForce GTX 950M, GeForce 940M, GeForce 930M, Quadro K2200, Quadro K1200, Quadro K620, Quadro K620M

Compute 5.2 video cards (Maxwell – GM200, GM204, GM206):
GeForce GTX 960, GeForce GTX 970, GeForce GTX 980, GeForce GTX 980 Ti, GeForce GTX Titan, GeForce GTX 980M, GeForce GTX 970M, GeForce GTX 965M, Quadro M6000

Download ccMiner KBomba fork with support for older Compute 2.x GPUs
Download the latest ccMiner tpruvot fork with support for Compute 3.0 – 5.2 GPUs…
Download the latest ccMiner SP-MOD fork with support for newer Compute 5.0 and 5.2 Mxawell GPUs…

ccminer-sp-whirlpoolx

The WhirlpoolX algorithm is now supported in both the latest updates of the ccMiner forks from SP (source) and Tpruvot (source). So we have compiled windows binaries from the latest source for both miners and decided to test the performance we are getting mining the WhirlpoolX altcoin Vanillacoin (VNL). Do note that the sp-mod fork of ccMiner is optimized and supports the newer Computer 5.0 and 5.2 Nvidia Maxwell GPUs where the performance is maxed out while the tpruvot fork supports Compute 3.0 or newer video cards. We have tested the performance we are getting on GeForce GTX 980 GPU with the two miners, the SP version as expected gives out higher performance on a Maxwell card as expected with about 233 MHS while the tpruvot fork is not that much slower with about 222 MHS mining WhirlpoolX. So if you are mining WhirlpoolX on Nvidia-based video cards or leasing your hashrate you might want to update your miner to the appropriate version depending on your GPUs.

To download the latest ccMiner version 1.6-git by tpruvot for Windows OS…
To download the latest ccMiner for Maxwell version 1.5.42-git by SP for Windows OS…

ccminer-1-2-windows

The ccMiner Nvidia CUDA miner has just been updated to version 1.2 with the source code getting support for the community contributed X13 and Diamond Groestl support. We have compiled a windows binary version from the source that includes the recently released optimizations called “Killer Groestl” that improves the performance of Groestl and all coins that use the algorithm supported by ccMiner. If you are using tsiv’s fork of ccMiner for mining X13 then it is recommended to download this new update as it will bring an extra performance improvement in x13 mining hashrate. Our tests show that on a GeForce GTX 750 Ti you can expect to get from about 1700 KHS to close to 2100 KHS mining X13 with the new ccMiner 1.2 as X13 does rely on Groestl as well.

Do note that the windows binary you can download below is compiled for Compute 3.0 and Compute 3.5-5.0 cards (32-bit version only), so it will not work on older cards. If you are unsure what version of Compute does your video card support check the included GPU Compute Capabilities List file. It is also compiled with Visual Studio 2012, so if you do not already have Visual C++ Redistributable for Visual Studio 2012 you will have to download and install it, otherwise you may be getting error for a missing DLL library.

To download the new ccMiner 1.2 beta with official x13 support for Windows OS…


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