I recently installed a GTX 460 (SM 2.1) on a machine, and started to do compatibity tests, remains x11 algos to fix but some like lyra have correct speeds (more than a cpu)
I will receive soon a SM 3.0 one to do more tests (GT 740), i only made tests on the 750ti before (compiled as SM 3 only)
Topic: [ANN] ccminer 2.3 - opensource - GPL (tpruvot) - page 154. (Read 500112 times)
when i get back - ill test the latest git ...
im curious as to what it can do with some of the main algos i use ... x11 quark neoscrypt ...
#crysx
im curious as to what it can do with some of the main algos i use ... x11 quark neoscrypt ...
#crysx
Still no joy. 
The error you're seeing usualy means ccminer can't find a valid cuda GPU. This often occurs
if ccminer is not compiled for the proper compute version but can have other causes such as an
unconfigured card, a faulty card, etc. If the following doesn't work I'm stumped.
The 640 has a monitor attached or is otherwise configured?
It is listed in nvidia-settings?
It is in fact the GDDR5 variation? (GDDR3 is compute 2.1)
You have up to date drivers?
You have cuda 6.5 installed and are configured to use it?
You start with freshly unzipped source?
You edit Makefile.am to ensure code is generated for compute 3.5?
Compiler output confirms 3.5 code is generated?
Have you tried other algos?
Edit: another thought, did you disable the nouveau driver and are use nvidia's proprietary driver?
Still no joy.
Yeah. Go ahead and change the right file and in the right place this time 
It should build and run without issues on your card.
It should build and run without issues on your card.
Yes, my makefile. was overwritten at compilation because I did not make the change in makefile.am first. I'll try again. Thanks.
I have both (v1.2) and also the one on this thread (v1.6.6) on Xubuntu 15.04 with Cuda 6.5. The makefile is from 1.6.6. I can not get either to work with my Compute 3.5 video card since upgrading from Xubunru 14.04 to 15.04 and being forced to use Cuda 6.5 vs 5.5. If I could regress to Cuda 5.5 I'm sure my ccminer v1.2 would already be working and I would have abandon all efforts to get 1.6.6 working.
But you're right that I should have been more specific when I stated "I uncommented line #544 in makefile [from 1.6.6] to enable compilation of compute 3.5 for my video card." No joy.
Edit: Now that I'm looking at it, I changed line 544 of makefile, not line 85 of makefile.am. Might that be my problem?
But you're right that I should have been more specific when I stated "I uncommented line #544 in makefile [from 1.6.6] to enable compilation of compute 3.5 for my video card." No joy.
Edit: Now that I'm looking at it, I changed line 544 of makefile, not line 85 of makefile.am. Might that be my problem?
See my reply to myagui.
I doubt either the TPruvot fork or the SP_MOD fork will compile with cuda 5.5 so you need cuda 6.5. And either
of these forks support many more algos and produce much higher hashrates than ccminer 1.2, even on older HW.
@ZeroFossilFuel,
Are you refering to some other ccminer fork, or the one on this thread? I'm a bit confused here with that line reference in Makefile.
If I understand correctly, this is the default definition currently on git:
https://github.com/tpruvot/ccminer/blob/windows/Makefile.am#L82
You'd need to comment that line, and uncomment the one for your target architecture, just below (me thinks)...
Are you refering to some other ccminer fork, or the one on this thread? I'm a bit confused here with that line reference in Makefile.
If I understand correctly, this is the default definition currently on git:
https://github.com/tpruvot/ccminer/blob/windows/Makefile.am#L82
You'd need to comment that line, and uncomment the one for your target architecture, just below (me thinks)...
Wrong file, wrong fork. The correct file is Makefile.am before doing anything else. This fork already
has 3.5 enabled, the other one doesn't.
This fork will compile as is for most compute versions. If you want a faster compile and a smaller executable
you can comment out the compute versions you don't need. Just make sure the first one in the list uses the
"=" assignment and all the others use "+=".
I have both (v1.2) and also the one on this thread (v1.6.6) on Xubuntu 15.04 with Cuda 6.5. The makefile is from 1.6.6. I can not get either to work with my Compute 3.5 video card since upgrading from Xubunru 14.04 to 15.04 and being forced to use Cuda 6.5 vs 5.5. If I could regress to Cuda 5.5 I'm sure my ccminer v1.2 would already be working and I would have abandon all efforts to get 1.6.6 working.
But you're right that I should have been more specific when I stated "I uncommented line #544 in makefile [from 1.6.6] to enable compilation of compute 3.5 for my video card." No joy.
Edit: Now that I'm looking at it, I changed line 544 of makefile, not line 85 of makefile.am. Might that be my problem? Looking back it seems line 544 got commented out again when I recompiled.
But you're right that I should have been more specific when I stated "I uncommented line #544 in makefile [from 1.6.6] to enable compilation of compute 3.5 for my video card." No joy.
Edit: Now that I'm looking at it, I changed line 544 of makefile, not line 85 of makefile.am. Might that be my problem? Looking back it seems line 544 got commented out again when I recompiled.
@ZeroFossilFuel,
Are you refering to some other ccminer fork, or the one on this thread? I'm a bit confused here with that line reference in Makefile.
If I understand correctly, this is the default definition currently on git:
https://github.com/tpruvot/ccminer/blob/windows/Makefile.am#L82
You'd need to comment that line, and uncomment the one for your target architecture, just below (me thinks)...
Are you refering to some other ccminer fork, or the one on this thread? I'm a bit confused here with that line reference in Makefile.
If I understand correctly, this is the default definition currently on git:
https://github.com/tpruvot/ccminer/blob/windows/Makefile.am#L82
You'd need to comment that line, and uncomment the one for your target architecture, just below (me thinks)...
Good day all.
Been trying to assemble your latest (ccminer 1.6.6) for a Kepler (GTX 690), (compute 3.5) .
Getting the following error :
'keccak256_cpu_init' at line 299 : invalid device symbol.
Any advice ? Or is it simply a Maxwell only scypt?
Been trying to assemble your latest (ccminer 1.6.6) for a Kepler (GTX 690), (compute 3.5) .
Getting the following error :
'keccak256_cpu_init' at line 299 : invalid device symbol.
Any advice ? Or is it simply a Maxwell only scypt?
you need to add compute 3.5 in the projectfile/makefile.
I uncommented line #544 in makefile to enable compilation of compute 3.5 for my video card.
Code:
./autogen.sh && ./configure && make
Code:
[2015-10-15 21:15:51] 1 miner thread started, using 'quark' algorithm.
[2015-10-15 21:15:52] Stratum difficulty set to 0.00390625
Cuda error in func 'quark_blake512_cpu_setBlock_80' at line 245 : invalid device symbol.
~$
If you are mining with GPUs, this thread might be of interest for those looking for new GPUs with nice discounts: https://bitcointalksearch.org/topic/wtn-interested-in-buying-brand-new-hddslaptopsgpus-w-great-discount-old-1207919
I compiled mine under compute_30, maybe that make a difference? I am running debug mode to see if i can catch it next time, it seems to behave properly when the host can't be resolved, instead of hanging when it is timed out.
Was unable to reproduce that here... Linux and windows
Are you sure you use my sources... Because ive only seen that in sp version... But not with a wrong
I think it could be a hardware problem which locks cuda
Are you sure you use my sources... Because ive only seen that in sp version... But not with a wrong
I think it could be a hardware problem which locks cuda
Was unable to reproduce that here... Linux and windows
Are you sure you use my sources... Because ive only seen that in sp version... But not with a wrong
I think it could be a hardware problem which locks cuda
Are you sure you use my sources... Because ive only seen that in sp version... But not with a wrong
I think it could be a hardware problem which locks cuda
hello, not sure if it is an related issue, but when the network timeouts (when my connection gets dropped..) it doesn't terminate properly
it would segmentation fault a few times under my script and quit, but eventually it just get stuck there
when i press ctrl-c it still doesn't quit
still stuck there and not taking me back to the command prompt
it would segmentation fault a few times under my script and quit, but eventually it just get stuck there
Code:
[2015-10-01 18:48:59] Stratum connection failed: Could not resolve host: keccak.hk.nicehash.com
[2015-10-01 18:48:59] ...terminating workio thread
when i press ctrl-c it still doesn't quit
Code:
^C[2015-10-01 18:58:08] SIGINT received, exiting
still stuck there and not taking me back to the command prompt
Thanks for the very quick fix!
thx for the report, will try that...
edit: indeed, fixed in linux branch : https://github.com/tpruvot/ccminer/commit/41707760f560234b20485555560a547c28d10289
edit: indeed, fixed in linux branch : https://github.com/tpruvot/ccminer/commit/41707760f560234b20485555560a547c28d10289
Thanks for the very quick fix!
thx for the report, will try that...
edit: indeed, fixed in linux branch : https://github.com/tpruvot/ccminer/commit/41707760f560234b20485555560a547c28d10289
edit: indeed, fixed in linux branch : https://github.com/tpruvot/ccminer/commit/41707760f560234b20485555560a547c28d10289
thx for the report, will try that...
edit: indeed, fixed in linux branch : https://github.com/tpruvot/ccminer/commit/41707760f560234b20485555560a547c28d10289
edit: indeed, fixed in linux branch : https://github.com/tpruvot/ccminer/commit/41707760f560234b20485555560a547c28d10289
the latest version off github (1.6.6dev) doesn't seems to quit properly after setting --retries=0
and it just get stuck there instead of quitting.
Code:
[2015-09-24 17:47:31] Stratum authentication failed
[2015-09-24 17:47:31] ...terminating workio thread
and it just get stuck there instead of quitting.
super precise answer, well better than nothing 
i will pass...
i will pass... which one did you test / are failing ?
tpruvot's or djm34. maybe both? Lost support around the time Vertcoin forked or a bit before that.
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