[ANN] cudaMiner & ccMiner CUDA based mining applications [Windows/Linux/MacOSX]

[Trololo2060]

Hi,

Is there any adjustments for scrypt minnig in 14-2-28 viersion to previous?

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[Chris84]

Good News for fuguecoin-miner:

https://www.nxt-e.com/default.aspx?m=fugue_btc

[jack80]

Christian, ain't getting a single block here  

230mh/s (780+750ti)

WTH?

Settings: x64\ccminer.exe -q -s 1 -t 2 -a fugue256 -o 127.0.0.1:9089 -u ivanlabrie.1 -p x

Stock compute 2.0 binaries posted at your github.

I use one 750 ti for 12 hours at 45600khs and no block too. my settings ccminer.exe -a fugue256 -o http://127.0.0.1:9089 -u user-p 1 -v 512

IDEM .

[cbuchner1]

IDEM .

hey guys. I am getting 80 MHash/s on 750Ti with Fuguecoin with a binary built for Compute 3.5 - I think we'll put out an update tonight, possibly including a Compute 3.5 build in addition to the 2.0 build.

Also a GTX 570 will do 100 MHash then, a 580 probably more (130?)

I also included the "Google Chrome trick" as part of ccminer. It now requests 1ms multimedia timer precision on its own so you don't have to rely on Chrome, Flash, Windows Media Player to do this for you

Christian

[cbuchner1]

How can i limit cgminer GPU usage of cgminer, Because I might need to play the game at the same time mining, And

this would have to be done with carefully timed sleep statements.

And the kernel launch configurations would have to be small (short enough to return within 1/60th of a second)

Christian

[ivanlabrie]

IDEM .

hey guys. I am getting 80 MHash/s on 750Ti with Fuguecoin with a binary built for Compute 3.5 - I think we'll put out an update tonight, possibly including a Compute 3.5 build in addition to the 2.0 build.

Also a GTX 570 will do 100 MHash then, a 580 probably more (130?)

I also included the "Google Chrome trick" as part of ccminer. It now requests 1ms multimedia timer precision on its own so you don't have to rely on Chrome, Flash, Windows Media Player to do this for you

Christian

This is really neat!!!

I'll wait for the 3.5 binaries...don't trust cryptomining blog to do it for me.

Expect a donation anytime soon, you've been doing an awesome job lately.

[cbuchner1]

Expect a donation anytime soon, you've been doing an awesome job lately.

I do split all recent donations with the other Christian evenly.  Just to let you know.

Christian

[ivanlabrie]

Expect a donation anytime soon, you've been doing an awesome job lately.

I do split all recent donations with the other Christian evenly.  Just to let you know.

Christian

I thought he was a clone slave? :p

[jack80]

IDEM .

hey guys. I am getting 80 MHash/s on 750Ti with Fuguecoin with a binary built for Compute 3.5 - I think we'll put out an update tonight, possibly including a Compute 3.5 build in addition to the 2.0 build.

Also a GTX 570 will do 100 MHash then, a 580 probably more (130?)

I also included the "Google Chrome trick" as part of ccminer. It now requests 1ms multimedia timer precision on its own so you don't have to rely on Chrome, Flash, Windows Media Player to do this for you

Christian

AWESOME!

You are Fantastic

I hope to find some block FC. No pool nothing for gpu .

This new program could have benefits even with HVC? .

[AizenSou]

AizenSou, I did not mean to offend. I thought I was being clever, but I forget that pretty much everyone on this thread is out-of-my-league smart. I have followed your posts and learned much. But as a small defense on the second and third points, .001 BTC was a nice round number to work with. So far today alone there has been .079 BTC worth of trades at 1 satoshi, which even at today's volume/prices (.00000044 LTC/MRC and .028 BTC/LTC) could have made someone .018 BTC with that strategy on autopilot. That's a day's worth of mining for some.

Finally, on the fourth point, I totally understand now what you meant and it just went right over my head. Please accept my apologies. And also for getting off topic. I will sit in the corner now and observe quietly :-)

Hi see360 I didn't mean to offend too. At my first time with crypto I was crazy like you too because of some profits. I even trade between exchanges to earn some BTCs but after sometimes I'm just tired with this. And I asked myself why nobody do this? So I come to conclusion that is simple because the earning is too small in comparison to the time you spent with it. So I quit and concentrate myself only on mining now.

Don't hesitate to share your experiences. We learn from each others somehow, even from mistakes of others.

Good News for fuguecoin-miner:

https://www.nxt-e.com/default.aspx?m=fugue_btc

Well congrat Christian. Your holder worths more than 2 BTCs now. Nice earning .

[Raghiot]

any1 have tried 750 1gb?

[liomojo1]

Guys please help, my asrock h81 pro btc arrived and i set it up with pci usb extenders and 6 750 ti , but windows is showing me only 5 cards , i cheked everything , changed slots , but nothing , the best i can get are 5 cards. Is there a driver issue or something else , i have a a friend who has the same board and puts 6 amd cards with no problem.?

[cbuchner1]

Guys please help, my asrock h81 pro btc arrived and i set it up with pci usb extenders and 6 750 ti , but windows is showing me only 5 cards

would Linux be showing 6 cards?

lspci is the command to check. Just boot an Ubuntu or Kubuntu or Xubunutu live CD or USB stick and try..

[cbuchner1]

I thought he was a clone slave? :p

or maybe I have a split personality (the H in Christian H. stands for Mr. Hyde, hehe)

[old_pioner]

I was really hoping that there was an unnofficial 750Ti with 960 cuda cores...

Come on NVidia, release better Maxwell cards for mining already!

Palit is very slow card and probably has a bugged BIOS. Can Not all 4 applications to be wrong:

Code:

CUDA Device Query (Runtime API) version (CUDART static linking)

Detected 2 CUDA Capable device(s)

Device 0: "GeForce GTX 750 Ti"
  CUDA Driver Version / Runtime Version          6.0 / 5.5
  CUDA Capability Major/Minor version number:    5.0
  Total amount of global memory:                 2048 MBytes (2147483648 bytes)
MapSMtoCores for SM 5.0 is undefined.  Default to use 192 Cores/SM
MapSMtoCores for SM 5.0 is undefined.  Default to use 192 Cores/SM
  ( 5) Multiprocessors, (192) CUDA Cores/MP:     960 CUDA Cores
  GPU Clock rate:                                1163 MHz (1.16 GHz)
  Memory Clock rate:                             2750 Mhz
  Memory Bus Width:                              128-bit
  L2 Cache Size:                                 2097152 bytes
  Maximum Texture Dimension Size (x,y,z)         1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
  Maximum Layered 1D Texture Size, (num) layers  1D=(16384), 2048 layers
  Maximum Layered 2D Texture Size, (num) layers  2D=(16384, 16384), 2048 layers
  Total amount of constant memory:               65536 bytes
  Total amount of shared memory per block:       49152 bytes
  Total number of registers available per block: 65536
  Warp size:                                     32
  Maximum number of threads per multiprocessor:  2048
  Maximum number of threads per block:           1024
  Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
  Max dimension size of a grid size    (x,y,z): (2147483647, 65535, 65535)
  Maximum memory pitch:                          2147483647 bytes
  Texture alignment:                             512 bytes
  Concurrent copy and kernel execution:          Yes with 1 copy engine(s)
  Run time limit on kernels:                     Yes
  Integrated GPU sharing Host Memory:            No
  Support host page-locked memory mapping:       Yes
  Alignment requirement for Surfaces:            Yes
  Device has ECC support:                        Disabled
  CUDA Device Driver Mode (TCC or WDDM):         WDDM (Windows Display Driver Model)
  Device supports Unified Addressing (UVA):      No
  Device PCI Bus ID / PCI location ID:           1 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

Device 1: "GeForce GTX 750 Ti"
  CUDA Driver Version / Runtime Version          6.0 / 5.5
  CUDA Capability Major/Minor version number:    5.0
  Total amount of global memory:                 2048 MBytes (2147483648 bytes)
MapSMtoCores for SM 5.0 is undefined.  Default to use 192 Cores/SM
MapSMtoCores for SM 5.0 is undefined.  Default to use 192 Cores/SM
  ( 5) Multiprocessors, (192) CUDA Cores/MP:     960 CUDA Cores
  GPU Clock rate:                                1163 MHz (1.16 GHz)
  Memory Clock rate:                             2750 Mhz
  Memory Bus Width:                              128-bit
  L2 Cache Size:                                 2097152 bytes
  Maximum Texture Dimension Size (x,y,z)         1D=(65536), 2D=(65536, 65536), 3D=(4096, 4096, 4096)
  Maximum Layered 1D Texture Size, (num) layers  1D=(16384), 2048 layers
  Maximum Layered 2D Texture Size, (num) layers  2D=(16384, 16384), 2048 layers
  Total amount of constant memory:               65536 bytes
  Total amount of shared memory per block:       49152 bytes
  Total number of registers available per block: 65536
  Warp size:                                     32
  Maximum number of threads per multiprocessor:  2048
  Maximum number of threads per block:           1024
  Max dimension size of a thread block (x,y,z): (1024, 1024, 64)
  Max dimension size of a grid size    (x,y,z): (2147483647, 65535, 65535)
  Maximum memory pitch:                          2147483647 bytes
  Texture alignment:                             512 bytes
  Concurrent copy and kernel execution:          Yes with 1 copy engine(s)
  Run time limit on kernels:                     Yes
  Integrated GPU sharing Host Memory:            No
  Support host page-locked memory mapping:       Yes
  Alignment requirement for Surfaces:            Yes
  Device has ECC support:                        Disabled
  CUDA Device Driver Mode (TCC or WDDM):         WDDM (Windows Display Driver Model)
  Device supports Unified Addressing (UVA):      No
  Device PCI Bus ID / PCI location ID:           2 / 0
  Compute Mode:
     < Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 6.0, CUDA Runtime Version = 5.5, NumDevs = 2, Device0 = GeForce GTX 750 Ti, Device1 = GeForce GTX 750 Ti
Result = PASS

[jack80]

Please you run a cudaminer with 1 only 750 palit card and post image your kh/s . No Overclock .

Use Litecoin for test .

This is my palit NE5X75TS1341-1073F work on coinotron no overclock mine LTC :

http://www.palit.biz/palit/vgapro.php?id=2253



.

[ltcnim]

ok, my 5 x 750Ti rig is finally hashing using ubuntu 13.10 server. while pulling only 240Watt from the wall it's currently hashing @ 19100khash Heavycoin.
However, the first test crashed after a few minutes with exception:

Code:

terminate called after throwing an instance of 'thrust::system::detail::bad_alloc'
  what():  std::bad_alloc: unknown error

anyone else had this problem yet? I'm going to try Cudaminer later as well.

[bigjme]

Guys please help, my asrock h81 pro btc arrived and i set it up with pci usb extenders and 6 750 ti , but windows is showing me only 5 cards , i cheked everything , changed slots , but nothing , the best i can get are 5 cards. Is there a driver issue or something else , i have a a friend who has the same board and puts 6 amd cards with no problem.?

I hope you get this sorted soon, i am looking at getting that board with the usb extenders soon

right now i am feeling the hate for getting a expensive motherboard as my has

2 x PCI Express 3.0 x16 slots (PCIE2/PCIE4: single at x16 (PCIE2) / x8 (PCIE4) or dual at x8/x8 mode)
1 x PCI Express 2.0 x16 slot (PCIE5: x4 mode)
2 x PCI Express 2.0 x1 slots

if only it was 3 @ x1
as you cant run the x1 risers in the x16 slots i believe?
and i know they don't make x16 usb risers

On a side not, has any tested what difference using longer usb cables poses?
For example mos are sold with 1m cables, but what is stopping you using 5m cables?

please someone test this xD

[ghur]

ok, my 5 x 750Ti rig is finally hashing using ubuntu 13.10 server. while pulling only 240Watt from the wall it's currently hashing @ 19100khash Heavycoin.
However, the first test crashed after a few minutes with exception:

Code:

terminate called after throwing an instance of 'thrust::system::detail::bad_alloc'
  what():  std::bad_alloc: unknown error

anyone else had this problem yet? I'm going to try Cudaminer later as well.

You might be running out of memory. Or cudaminer does something it shouldn't.

Are you using autotune?

[cbuchner1]

You might be running out of memory. Or cudaminer does something it shouldn't.
Are you using autotune?

ccminer uses thrust libraries, cudaminer doesn't.

does GPU memory use grow over time? you can monitor with nvidia-smi (or GPU-z on Windows)

Christian