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Author Topic: [ANN] ccminer 1.8.4 - opensource (tpruvot)  (Read 141676 times)
WigitGetIt
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June 01, 2016, 11:48:16 AM
 #841

Just want to make miners aware. I know there are not to many X13 coins out there.

New X13 Coin launching at 12:00 (Noon) Eastern Today.

https://bitcointalk.org/index.php?topic=1461341.0
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June 01, 2016, 02:22:35 PM
 #842

epsylon i see you are working on the implementation of the x11evo algo, is done yet? will be released with the next version?

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June 01, 2016, 03:13:24 PM
 #843

yep seems fine for the moment... but revolver doesnt support getwork so .. stratum only for this one

BTC: 1FhDPLPpw18X4srecguG3MxJYe4a1JsZnd - My Projects: ccminer - cpuminer-multi - yiimp - Forum threads : ccminer - cpuminer-multi
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June 01, 2016, 03:35:17 PM
 #844

yep seems fine for the moment... but revolver doesnt support getwork so .. stratum only for this one

what coins have this algo? ...

#crysx

ChainWorks Industries . grn - Ga2TFVPW3y2vd9vMdqLWfid9hf8RPSQV19 . exchange - https://bleutrade.com/exchange/GRN/BTC/ . email - crysx@gnxs.com .
Epsylon3
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June 01, 2016, 04:06:55 PM
 #845

are you aware you quoted the answer ?

BTC: 1FhDPLPpw18X4srecguG3MxJYe4a1JsZnd - My Projects: ccminer - cpuminer-multi - yiimp - Forum threads : ccminer - cpuminer-multi
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June 01, 2016, 05:38:35 PM
 #846

yep seems fine for the moment... but revolver doesnt support getwork so .. stratum only for this one

Oh, these is one of those wallets.  Sad

The QT wallet is also larger than usual (40 MB) for some reason.
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June 02, 2016, 11:55:23 AM
 #847

are you aware you quoted the answer ?

no - didnt realize it WAS revolver ...

DUH! ...

#crysx

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June 07, 2016, 05:21:12 PM
 #848

yep seems fine for the moment... but revolver doesnt support getwork so .. stratum only for this one

Great! .

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June 08, 2016, 03:00:38 AM
 #849

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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June 08, 2016, 05:02:05 AM
 #850

https://github.com/tpruvot/ccminer/wiki/Compatibility

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PeaMine
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June 08, 2016, 06:26:19 AM
 #851


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.html

Edit:
This fixed it:
https://devtalk.nvidia.com/default/topic/845363/libcublas-so-7-0-cannot-open-shared-object-file/
giagge
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June 08, 2016, 08:11:49 AM
 #852


Thanks Smiley .

Epsylon3
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June 08, 2016, 08:15:00 AM
 #853

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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June 11, 2016, 08:01:09 AM
 #854

After the last commit, bbd3c6d to the linux branch ccminer fails to compile on Ubuntu 14.04
Code:
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
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June 11, 2016, 11:38:33 AM
 #855

tx fixed

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June 20, 2016, 07:29:13 PM
 #856

Happy with the 1080/1070 so far Epsylon3?
I'm getting crazy of waiting here... No hybrid EVGAs in sight yet   Undecided

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June 21, 2016, 08:55:06 PM
 #857

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.

I buy private Nvidia miners. Send information and/or inquiries to my PM box.
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June 21, 2016, 09:21:16 PM
 #858

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
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June 21, 2016, 09:28:29 PM
 #859

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

BTC: 1FhDPLPpw18X4srecguG3MxJYe4a1JsZnd - My Projects: ccminer - cpuminer-multi - yiimp - Forum threads : ccminer - cpuminer-multi
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June 21, 2016, 09:49:51 PM
 #860

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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