Epsylon3 (OP)
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Merit: 1082
ccminer/cpuminer developer
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June 01, 2016, 04:06:55 PM |
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are you aware you quoted the answer ?
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The trust scores you see are subjective; they will change depending on who you have in your trust list. |
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Advertised sites are not endorsed by the Bitcoin Forum. They may be unsafe, untrustworthy, or illegal in your jurisdiction.
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bathrobehero
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Activity: 2002
Merit: 1051
ICO? Not even once.
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June 01, 2016, 05:38:35 PM |
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yep seems fine for the moment... but revolver doesnt support getwork so .. stratum only for this one
Oh, these is one of those wallets.  The QT wallet is also larger than usual (40 MB) for some reason. |
Not your keys, not your coins!
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crysx
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June 02, 2016, 11:55:23 AM |
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are you aware you quoted the answer ?
no - didnt realize it WAS revolver ... DUH! ... #crysx |
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giagge
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Merit: 1001
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June 07, 2016, 05:21:12 PM |
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yep seems fine for the moment... but revolver doesnt support getwork so .. stratum only for this one
Great! . |
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PeaMine
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June 08, 2016, 03:00:38 AM |
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On a GTX 660 I'm getting:
[2016-06-08 03:02:04] GPU #0: x11_luffa512_cpu_init invalid device symbol
[2016-06-08 03:02:05] GPU #0: aes_cpu_init invalid device symbol
[2016-06-08 03:02:05] xre.suprnova.cc:2114 x11evo block 15549
[2016-06-08 03:02:06] GPU #0: aes_cpu_init invalid device symbol
Cuda error in func 'cuda_check_cpu_setTarget' at line 41 : invalid device symbol.
With intensity 8
[2016-06-08 03:03:54] GPU #0: x11_luffa512_cpu_init invalid device symbol
[2016-06-08 03:03:55] GPU #0: aes_cpu_init invalid device symbol
[2016-06-08 03:03:56] GPU #0: aes_cpu_init invalid device symbol
Cuda error in func 'cuda_check_cpu_setTarget' at line 41 : invalid device symbol.
When trying to use -a x11evo
I think this means I need to manually edit the Makefile to use an older compute, correct?
If so, what should I do?
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Datacenter Technician and Electrician. If you have any questions feel free to ask me as I am generally bored looking at logs and happy to help during free time.
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Epsylon3 (OP)
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Activity: 1484
Merit: 1082
ccminer/cpuminer developer
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June 08, 2016, 05:02:05 AM |
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PeaMine
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June 08, 2016, 06:26:19 AM
Last edit: June 08, 2016, 07:21:12 AM by PeaMine |
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Thanks! That answered my question. A bit of an offbase question, but I get: error while loading shared libraries: libcudart.so.7.5: cannot open shared object file: No such file or directory When running it via supervisor. I have bashrc setup so it works when running via normal, but like supervisor to monitor the process. What am I doing wrong? Tried editing the Makefile.am to include it, but didn't seem to help Also tried this: http://www.cs.virginia.edu/~mwb7w/cuda_support/libcudart.htmlEdit: This fixed it: https://devtalk.nvidia.com/default/topic/845363/libcublas-so-7-0-cannot-open-shared-object-file/ |
Datacenter Technician and Electrician. If you have any questions feel free to ask me as I am generally bored looking at logs and happy to help during free time.
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giagge
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June 08, 2016, 08:11:49 AM |
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Thanks  . |
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Epsylon3 (OP)
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ccminer/cpuminer developer
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June 08, 2016, 08:15:00 AM |
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in recent linux systems you can add that to /etc/ld.so.conf or ld.so.conf.d/
then type ldconfig to update the lib cache
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th3.r00t
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June 11, 2016, 08:01:09 AM |
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After the last commit, bbd3c6d to the linux branch ccminer fails to compile on Ubuntu 14.04 lyra2/cuda_lyra2v2.cu(446): error: identifier "TPB" is undefined
1 error detected in the compilation of "/tmp/tmpxft_0000589a_00000000-8_cuda_lyra2v2.cpp4.ii".
ptxas info : 8 bytes gmem
ptxas info : Compiling entry function '_Z17lyra2_gpu_hash_32jjP5uint2' for 'sm_50'
ptxas info : Function properties for _Z17lyra2_gpu_hash_32jjP5uint2
0 bytes stack frame, 0 bytes spill stores, 0 bytes spill loads
ptxas info : Used 227 registers, 336 bytes cmem[0]
ptxas info : Compiling entry function '_Z21lyra2_gpu_hash_32_sm2jjPm' for 'sm_50'
ptxas info : Function properties for _Z21lyra2_gpu_hash_32_sm2jjPm
0 bytes stack frame, 0 bytes spill stores, 0 bytes spill loads
ptxas info : Used 2 registers, 336 bytes cmem[0]
make[2]: *** [lyra2/cuda_lyra2v2.o] Error 2
make[2]: *** Waiting for unfinished jobs....
ptxas info : 0 bytes gmem
ptxas info : 0 bytes gmem
ptxas info : 0 bytes gmem, 544 bytes cmem[3]
ptxas info : Compiling entry function '_Z22zr5_keccak512_gpu_hashjjPm' for 'sm_50'
ptxas info : Function properties for _Z22zr5_keccak512_gpu_hashjjPm
0 bytes stack frame, 0 bytes spill stores, 0 bytes spill loads
ptxas info : Used 76 registers, 336 bytes cmem[0]
ptxas info : Compiling entry function '_Z26jackpot_keccak512_gpu_hashjjPm' for 'sm_50'
ptxas info : Function properties for _Z26jackpot_keccak512_gpu_hashjjPm
0 bytes stack frame, 0 bytes spill stores, 0 bytes spill loads
ptxas info : Used 77 registers, 336 bytes cmem[0]
ptxas info : Compiling entry function '_Z26zr5_keccak512_gpu_hash_pokjjPjPtj' for 'sm_50'
ptxas info : Function properties for _Z26zr5_keccak512_gpu_hash_pokjjPjPtj
0 bytes stack frame, 0 bytes spill stores, 0 bytes spill loads
ptxas info : Used 78 registers, 348 bytes cmem[0]
ptxas info : 0 bytes gmem, 544 bytes cmem[3]
ptxas info : Compiling entry function '_Z22zr5_keccak512_gpu_hashjjPm' for 'sm_52'
ptxas info : Function properties for _Z22zr5_keccak512_gpu_hashjjPm
0 bytes stack frame, 0 bytes spill stores, 0 bytes spill loads
ptxas info : Used 76 registers, 336 bytes cmem[0]
ptxas info : Compiling entry function '_Z26jackpot_keccak512_gpu_hashjjPm' for 'sm_52'
ptxas info : Function properties for _Z26jackpot_keccak512_gpu_hashjjPm
0 bytes stack frame, 0 bytes spill stores, 0 bytes spill loads
ptxas info : Used 77 registers, 336 bytes cmem[0]
ptxas info : Compiling entry function '_Z26zr5_keccak512_gpu_hash_pokjjPjPtj' for 'sm_52'
ptxas info : Function properties for _Z26zr5_keccak512_gpu_hash_pokjjPjPtj
0 bytes stack frame, 0 bytes spill stores, 0 bytes spill loads
ptxas info : Used 78 registers, 348 bytes cmem[0]
ptxas info : Overriding global maxrregcount 128 with entry-specific value 255 computed using thread count
ptxas info : 8 bytes gmem
ptxas info : Compiling entry function '_Z17lyra2_gpu_hash_32jjP5uint2' for 'sm_52'
ptxas info : Function properties for _Z17lyra2_gpu_hash_32jjP5uint2
0 bytes stack frame, 0 bytes spill stores, 0 bytes spill loads
ptxas info : Used 227 registers, 336 bytes cmem[0]
ptxas info : Compiling entry function '_Z21lyra2_gpu_hash_32_sm2jjPm' for 'sm_52'
ptxas info : Function properties for _Z21lyra2_gpu_hash_32_sm2jjPm
0 bytes stack frame, 0 bytes spill stores, 0 bytes spill loads
ptxas info : Used 2 registers, 336 bytes cmem[0]
make[2]: Leaving directory `/home/urban/tpruvot-ccminer-git'
make[1]: *** [all-recursive] Error 1
make[1]: Leaving directory `/home/urban/tpruvot-ccminer-git'
make: *** [all] Error 2
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Epsylon3 (OP)
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Activity: 1484
Merit: 1082
ccminer/cpuminer developer
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June 11, 2016, 11:38:33 AM |
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tx fixed
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myagui
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Activity: 1154
Merit: 1001
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June 20, 2016, 07:29:13 PM |
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Happy with the 1080/1070 so far Epsylon3? I'm getting crazy of waiting here... No hybrid EVGAs in sight yet  |
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bensam1231
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Activity: 1750
Merit: 1024
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June 21, 2016, 08:55:06 PM |
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Yeah, currently there doesn't seem to be a lot of support for the 1XXX series. With only a lyra miner and older, much slower ccminers that aren't compiled for it.
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I buy private Nvidia miners. Send information and/or inquiries to my PM box.
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sp_
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Activity: 2898
Merit: 1087
Team Black developer
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June 21, 2016, 09:21:16 PM |
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Yeah, currently there doesn't seem to be a lot of support for the 1XXX series. With only a lyra miner and older, much slower ccminers that aren't compiled for it.
No support for the lamers... You should support the bay area. |
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Epsylon3 (OP)
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Activity: 1484
Merit: 1082
ccminer/cpuminer developer
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June 21, 2016, 09:28:29 PM |
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From my first tests with cuda 8 rc, sm61 doesnt improve anything... over 5.2, maybe this rc is not yet optimized for the GTX, but only for the Tesla 6.0
To resume, the 10xx are more like overclocked maxwells with a lower power usage :p Remains the 1080 special memory which seems a crap for now on mem algos
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bensam1231
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Activity: 1750
Merit: 1024
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June 21, 2016, 09:49:51 PM |
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From my first tests with cuda 8 rc, sm61 doesnt improve anything... over 5.2, maybe this rc is not yet optimized for the GTX, but only for the Tesla 6.0
To resume, the 10xx are more like overclocked maxwells with a lower power usage :p Remains the 1080 special memory which seems a crap for now on mem algos
Yup, but seemingly NeoScrypt is performing like shit on the 1070, regardless of it having faster GDDR5 then the 9xx series. Ethminer wont even run on the 1070 in w8.1 Both the 970 and the 1070 have a 256bit bus. |
I buy private Nvidia miners. Send information and/or inquiries to my PM box.
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restless
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Activity: 1151
Merit: 1001
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June 22, 2016, 09:50:18 AM |
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From my first tests with cuda 8 rc, sm61 doesnt improve anything... over 5.2, maybe this rc is not yet optimized for the GTX, but only for the Tesla 6.0
To resume, the 10xx are more like overclocked maxwells with a lower power usage :p Remains the 1080 special memory which seems a crap for now on mem algos
They are tweaked maxwells with lower power usage, according to some in-depth analysis from ixbt It seems Nvidia focused on game/VR improvements 1 thing that should be faster - context switching/ switching between compute/graphics or different |
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Amph
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June 22, 2016, 10:06:10 AM
Last edit: June 22, 2016, 03:51:37 PM by Amph |
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From my first tests with cuda 8 rc, sm61 doesnt improve anything... over 5.2, maybe this rc is not yet optimized for the GTX, but only for the Tesla 6.0
To resume, the 10xx are more like overclocked maxwells with a lower power usage :p Remains the 1080 special memory which seems a crap for now on mem algos
Yup, but seemingly NeoScrypt is performing like shit on the 1070, regardless of it having faster GDDR5 then the 9xx series. Ethminer wont even run on the 1070 in w8.1 Both the 970 and the 1070 have a 256bit bus. neoscrypt is performing very well on a 1070, around 1150 on LINUX, with the correct oc, this is 70% more than a 970 |
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Velgelm
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June 22, 2016, 10:17:37 AM |
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From my first tests with cuda 8 rc, sm61 doesnt improve anything... over 5.2, maybe this rc is not yet optimized for the GTX, but only for the Tesla 6.0
To resume, the 10xx are more like overclocked maxwells with a lower power usage :p Remains the 1080 special memory which seems a crap for now on mem algos
Yup, but seemingly NeoScrypt is performing like shit on the 1070, regardless of it having faster GDDR5 then the 9xx series. Ethminer wont even run on the 1070 in w8.1 Both the 970 and the 1070 have a 256bit bus. neoscrypt is performing very well on a 1070, around 11150 on LINUX, with the correct oc, this is 70% more than a 970 1150 ? not more my 970 gives 710kh/s peaked with Neoscrypt |
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pallas
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Black Belt Developer
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June 22, 2016, 02:20:00 PM |
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From my first tests with cuda 8 rc, sm61 doesnt improve anything... over 5.2, maybe this rc is not yet optimized for the GTX, but only for the Tesla 6.0
To resume, the 10xx are more like overclocked maxwells with a lower power usage :p Remains the 1080 special memory which seems a crap for now on mem algos
They are tweaked maxwells with lower power usage, according to some in-depth analysis from ixbt It seems Nvidia focused on game/VR improvements 1 thing that should be faster - context switching/ switching between compute/graphics or different Well that's exactly what we needed: maxwell with lower power usage. |
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