Posts Tagged ‘ccMiner tpruvot’

ccMiner 1.7.4 tpruvot for Optimum VanillaCoin Performance

8, Mar 2016

ccminer-1-7-4-tpruvot-vanillacoin

We have compiled ccMiner 1.7.4 tpruvot’s fork Windows binary in a version with the optimal settings for mining Vanillacoin (VNL) on more recent Nvidia-based GPUs as suggested by Alexis Provos and with his performance optimizations as implemented by tpruvot in the latest code. This Windows binary is a 32-bit one compiled with CUDa 6.5 and only with Compute 3.5 support as apparently this provides the optimal performance at least on Maxwell-based Nvidia GPUs (Faster than using Compute 5.2 on them). Below you can also see a comparison that we did with Nvidia GeForce GTX 970 from Gigabyte (WF3OC) and a reference design Gigabyte GTX 980 Ti to see the difference in performance with the regular version when using CUDA 7.5 and Compute 5.2 and with the optimized CUDA 6.5 and Compute 3.5 version available for download below. Do note that although this binary will work with other algorithms as well as the Blake 256 8-rounds used by VanillaCoin it may not provide the optimal performance for other algorithms as it is targeted to provide the best VNL mining hashrate.

GeForce GTX 970 – CUDA 7.5 Compute 5.2
Default – 2490 MHS @ 164 W
Intensity 25 – 2535 MHS
Intensity 26 – 2637 MHS
Intensity 27 – 2692 MHS
Intensity 28 – 2718 MHS
Intensity 29 – 2722 MHS
Intensity 30 – 2729 MHS
Intensity 31 – 2732 MHS

GTX 980 Ti – CUDA 7.5 Compute 5.2
Default – 3390 MHS @ 211 W
Intensity 25 – 3797 MHS
Intensity 26 – 3884 MHS
Intensity 27 – 3986 MHS
Intensity 28 – 4009 MHS
Intensity 29 – 4043 MHS
Intensity 30 – 4075 MHS
Intensity 31 – 4132 MHS

GeForce GTX 970 – CUDA 6.5 Compute 3.5
Intensity 31 – 2942 MHS @ 177 W

GeForce980 – CUDA 6.5 Compute 3.5
Intensity 31 – 4418 MHS @ 238 W

Do note that increasing the intensity over the default setting (no manual -i intensity option used) even on a regular release will provide some increase in performance as you can see in our comparison going up to the maximum supported intensity of 31. Have in mind that increasing intensity also makes the system a bit less responsive the higher you go and at 30/31 it will be lagging more, but the extra performance gain you will get with the optimal binary and higher Intensity setting is significant, so for a dedicated mining rig for VanillaCoin you should definitely go for it.

Update: This particular performance optimization is for VanillaCoin’s Blake256 8-rounds implementation, the CUDA 6.5 and Compute 3.5 compilation of the particular CUDA code for that algorithm give better performance than Compute 5.0 or 5.2. The CUDA code is different for other Blake 256 algorithms, including the one for Decred’s Blake-256 14-rounds implementation, so do not expect performance increase in others. In fact specifically for Decred, a 64-bit compilation with CUDA 7.5 and for Compute 5.x does seem to provide best performance with the publicly available ccMiner 1.7.4 fork from tpruvot.

– To download the ccMiner version 1.7.4 by tpruvot for VanillaCoin mining for Windows OS…

What Version of ccMiner to Use with your Nvidia GPU

10, Jun 2015

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…

New ccMiner Fork with Blake-256 Algorithm Support Now Available

8, Sep 2014

ccminer-blake-256-support

There is a new ccMiner fork for Nvidia GPUs that brings support for the Blakecoin (Blake-256) as well as other new algorithms and crypto coins supported in ccMiner. The new fork by user tpruvot on Github (source) supports not only the standard crypto currencies available in the official ccMiner but also BlakeCoin (256 8-rounds), NEOS blake (256 14-rounds), X14, X15, X17, WHIRL etc. The miner also adds some color options to make the output easily readable, instead of outputting everything as white text on black background. The precompiled Windows binary seems to work pretty well, though we’ve had some trouble using it on a system with two GPUs, but specifying a device option for each and running separately on GTX 780 Ti and GTX 750 Ti had no problems.

Do note that the source of this ccMiner fork is made to be compiled with CUDA 6.5 and Visual Studio 2013, though it can also be compiled on Linux, the binary releases available for Windows will also require you to have the most recent version of the Nvidia GPU driver in order to use them. You will need to download and install the latest GeForce 340.72 driver that brings support for CUDA 6.5 (if you are using older driver version), otherwise the miner may not function. The official binary release of the miner does come precompiled for Compute 3.0 and Compute 5.0, so it will not work on older video cards.

– To download the latest ccMiner binary release 1.4.1-tpruvot for Windows OS (CUDA 6.5)…


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