[ANN] ccminer 2.3 - opensource - GPL (tpruvot)

[kawaiicrypto]

It seems building the latest ccminer source against CUDA 9.1 fails, because the file device_functions_decls.h cannot be found.

Edit: On ubuntu 16.04. Of course an easy workaround is to use CUDA 9.0 libraries for now.

[e6ug]

is yiimp down? seems like a bit target for always getting attacked

[Schleicher]

It seems building the latest ccminer source against CUDA 9.1 fails, because the file device_functions_decls.h cannot be found.

Edit: On ubuntu 16.04. Of course an easy workaround is to use CUDA 9.0 libraries for now.

Use the cuda-9 branch

[srgmnr]

I have compiled the project, but, when run, I receive this error message%

Code:

Cuda error in func 'scanhash_lyra2v2' at line 114 : out of memory.
Cuda error in func 'keccak256_sm3_init' at line 299 : driver shutting down.
Cuda error in func 'keccak256_sm3_init' at line 299 : driver shutting down.
Cuda error in func 'scanhash_lyra2v2' at line 114 : driver shutting down.

and ccminers shut downs


can you help me?

[clg]

It seems building the latest ccminer source against CUDA 9.1 fails, because the file device_functions_decls.h cannot be found.

Edit: On ubuntu 16.04. Of course an easy workaround is to use CUDA 9.0 libraries for now.

I got CUDA 9.1 to work with the cuda-9 branch of ccminer.  I compiled CUDA 9.1 using the .run file and had it install the drivers included with the full .run package as the proprietary drivers did not install correctly using either the GUI (system setting route) or the PPA from the command line (at least for me, though I'm not an expert so I could very easily have been doing something wrong).  As I posted above thread, the key for me was to ensure that I had both lib and lib64 referenced in my LD_LIBRARY path before I compiled, otherwise, even though ccminer would compile without failing, it wouldn't do so correctly.

[KJDcrypto]

I started getting this error on one of my rigs everytime I run ccminer 2.2.2

cuda error in function "scanhash_lyra2v2" at line 144 : out of memory

That's the last message I get before windows shuts it down.

I'm not sure why this is happening as it was working fine last week.

Apparently something in my system changed and I'm just trying to figure out what would cause this.

Obviously it seem like an "out of memory" issue lol but what memory is it referring to? and how could I fix that?

Any help with this would be greatly appreciated...

If I cant figure it out soon it's system reset time lol :-)

[Epsylon3]

I got CUDA 9.1 to work with the cuda-9 branch of ccminer.  I compiled CUDA 9.1 using the .run file and had it install the drivers included with the full .run package as the proprietary drivers did not install correctly using either the GUI (system setting route) or the PPA from the command line (at least for me, though I'm not an expert so I could very easily have been doing something wrong).  As I posted above thread, the key for me was to ensure that I had both lib and lib64 referenced in my LD_LIBRARY path before I compiled, otherwise, even though ccminer would compile without failing, it wouldn't do so correctly.

Yep, from my tests here, the first linux drivers compatible with cuda 9.1 have a very strange behavior.. Unsure on windows yet

I reported the issue to nvidia dev team

[bensam1231]

How do you figure out what exchange yiimp pools are using for their estimated 24 hour actual rates?

[jr325]

It seems building the latest ccminer source against CUDA 9.1 fails, because the file device_functions_decls.h cannot be found.

Edit: On ubuntu 16.04. Of course an easy workaround is to use CUDA 9.0 libraries for now.

I got CUDA 9.1 to work with the cuda-9 branch of ccminer.  I compiled CUDA 9.1 using the .run file and had it install the drivers included with the full .run package as the proprietary drivers did not install correctly using either the GUI (system setting route) or the PPA from the command line (at least for me, though I'm not an expert so I could very easily have been doing something wrong).  As I posted above thread, the key for me was to ensure that I had both lib and lib64 referenced in my LD_LIBRARY path before I compiled, otherwise, even though ccminer would compile without failing, it wouldn't do so correctly.

If you only have CUDA 9.1 installed, is there even a 'lib'?  Can you tell me the resulting value for LD_LIBRARY_PATH in your case?
Thanks

[Epsylon3]

jr325: same as before

How do you figure out what exchange yiimp pools are using for their estimated 24 hour actual rates?

the main differences in the graphes is not related to the price but to the coin diff... Else only big ones in general

[bensam1231]

jr325: same as before

How do you figure out what exchange yiimp pools are using for their estimated 24 hour actual rates?

the main differences in the graphes is not related to the price but to the coin diff... Else only big ones in general

Sure, but some of the yiimp clone pools are using different exchanges and their estimated as well as actual BTC per 24 is different. If you could figure it out you could figure out which results are erroneous. Conversely if you could see estimated and actual coins per 24 (instead of BTC) that would be more helpful for figuring that out yourself. One more step, but BTC per 24 seems to be a legacy stat back from when yaamp was auto-exchange (almost none of the pools do this).

[Zefir01]

Hello.
When i run the ccminer with the neoscrypt algorithm, one GPU is lost.
Overclocking is disabled for the test.

nvidia-smi produces a message:

Code:

Unable to determine the device handle for GPU 0000:05:00.0: GPU is lost.  Reboot the system to recover this GPU

After that, the ccminer tries to restart the threads, GPU5 lost:
 

Code:

[2017-12-28 12:52:35] POOL 0: neoscrypt.eu.nicehash.com:3341 USER 3JLA1rhFggKEUD3rVf1SAme8ravYWbVBwg.rig1 -s 10
[2017-12-28 12:52:35] Starting on stratum+tcp://neoscrypt.eu.nicehash.com:3341
[2017-12-28 12:52:35] restart_threads
[2017-12-28 12:52:35] CUDA GPU 0 matches NVML GPU 0 by busId 1
[2017-12-28 12:52:35] CUDA GPU 1 matches NVML GPU 1 by busId 2
[2017-12-28 12:52:35] CUDA GPU 2 matches NVML GPU 2 by busId 3
[2017-12-28 12:52:35] CUDA GPU 3 matches NVML GPU 3 by busId 5
[2017-12-28 12:52:35] CUDA GPU 4 matches NVML GPU 4 by busId 6
[2017-12-28 12:52:35] CUDA GPU 5 matches NVML GPU 5 by busId 7
[2017-12-28 12:52:35] NVML GPU monitoring enabled.
[2017-12-28 12:52:35] GPU #0: plimit Insufficient Permissions
[2017-12-28 12:52:35] GPU #1: plimit Insufficient Permissions
[2017-12-28 12:52:35] GPU #2: plimit Insufficient Permissions
[2017-12-28 12:52:35] GPU #3: plimit Insufficient Permissions
[2017-12-28 12:52:35] GPU #4: plimit Insufficient Permissions
[2017-12-28 12:52:35] GPU #5: plimit Insufficient Permissions
[2017-12-28 12:52:35] Binding thread 0 to cpu 0 (mask 1)
[2017-12-28 12:52:35] Binding thread 1 to cpu 1 (mask 2)
[2017-12-28 12:52:35] Binding thread 2 to cpu 0 (mask 1)
[2017-12-28 12:52:35] Binding thread 3 to cpu 1 (mask 2)
[2017-12-28 12:52:35] 6 miner threads started, using 'neoscrypt' algorithm.
[2017-12-28 12:52:35] Binding thread 4 to cpu 0 (mask 1)
[2017-12-28 12:52:35] Binding thread 5 to cpu 1 (mask 2)
[2017-12-28 12:52:35] DEBUG: job_id=a44bedb 000000042b4f0846 xnonce2=000000 time=12:52:27
[2017-12-28 12:52:35] Stratum difficulty set to 1024 (0.03125)
[2017-12-28 12:52:35] neoscrypt block 2023740, diff 64.268
[2017-12-28 12:52:35] restart_threads
[2017-12-28 12:52:36] sleeptime: 400 ms
[2017-12-28 12:52:36] job a44bedb 000000042b4f0846 target change: 1fffe00000 (0.0)
[2017-12-28 12:52:36] GPU #0: start=00000000 end=0007ffff range=0007ffff
[2017-12-28 12:52:36] sleeptime: 400 ms
[2017-12-28 12:52:36] job a44bedb 000000042b4f0846 target change: 1fffe00000 (0.0)
[2017-12-28 12:52:36] GPU #1: start=2aaaaaaa end=2ab2aaa9 range=0007ffff
[2017-12-28 12:52:36] sleeptime: 400 ms
[2017-12-28 12:52:36] job a44bedb 000000042b4f0846 target change: 1fffe00000 (0.0)
[2017-12-28 12:52:36] GPU #3: start=7ffffffe end=8007fffd range=0007ffff
[2017-12-28 12:52:36] sleeptime: 400 ms
[2017-12-28 12:52:36] job a44bedb 000000042b4f0846 target change: 1fffe00000 (0.0)
[2017-12-28 12:52:36] GPU #5: start=d5555552 end=d55d5551 range=0007ffff
[2017-12-28 12:52:36] sleeptime: 400 ms
[2017-12-28 12:52:36] job a44bedb 000000042b4f0846 target change: 1fffe00000 (0.0)
[2017-12-28 12:52:36] GPU #2: start=55555554 end=555d5553 range=0007ffff
[2017-12-28 12:52:36] sleeptime: 400 ms
[2017-12-28 12:52:36] job a44bedb 000000042b4f0846 target change: 1fffe00000 (0.0)
[2017-12-28 12:52:36] GPU #4: start=aaaaaaa8 end=aab2aaa7 range=0007ffff
[2017-12-28 12:52:36] GPU #3: Intensity set to 16 (+5), 65536 cuda threads
[2017-12-28 12:52:36] GPU #0: Intensity set to 16 (+5), 65536 cuda threads
[2017-12-28 12:52:36] GPU #1: Intensity set to 16 (+5), 65536 cuda threads
[2017-12-28 12:52:36] GPU #5: Intensity set to 16 (+5), 65536 cuda threads
[2017-12-28 12:52:36] GPU #2: Intensity set to 16 (+5), 65536 cuda threads
[2017-12-28 12:52:36] GPU #4: Intensity set to 16 (+5), 65536 cuda threads
[2017-12-28 12:52:37] GPU #3: start=8007fffe end=8104e52a range=00fce52c
[2017-12-28 12:52:48] sleeptime: 500 ms
[2017-12-28 12:52:48] DEBUG: job_id=a44bedb 000000042b4f0846 xnonce2=010000 time=12:52:27
[2017-12-28 12:52:48] GPU #4: start=aaaaaaa8 end=aad4c2c0 range=002a1818
[2017-12-28 12:52:48] GPU #5: start=d5555552 end=d57cc84e range=002772fc
[2017-12-28 12:52:48] GPU #0: start=00000000 end=0026b524 range=0026b524
[2017-12-28 12:52:48] GPU #2: start=55555554 end=557c085c range=0026b308
[2017-12-28 12:52:48] GPU #1: start=2aaaaaaa end=2ad14eb2 range=0026a408
[2017-12-28 12:52:51] GPU #4: Gigabyte GTX 1070, 943.86 kH/s
[2017-12-28 12:52:51] GPU #4: start=aad4c2c1 end=ae34e3b5 range=036020f4
[2017-12-28 12:52:51] GPU #0: Gigabyte GTX 1070, 969.50 kH/s
[2017-12-28 12:52:51] GPU #0: start=0026b525 end=039e5069 range=03779b44
[2017-12-28 12:52:51] GPU #5: Gigabyte GTX 1070, 877.93 kH/s
[2017-12-28 12:52:51] GPU #5: start=d57cc84f end=d8a08ddb range=0323c58c
[2017-12-28 12:52:51] GPU #1: Gigabyte GTX 1070, 877.47 kH/s
[2017-12-28 12:52:51] GPU #1: start=2ad14eb3 end=2df4a86f range=032359bc
[2017-12-28 12:52:51] GPU #2: Gigabyte GTX 1070, 858.40 kH/s
[2017-12-28 12:52:51] GPU #2: start=557c085d end=588dec55 range=0311e3f8
[2017-12-28 12:52:57] GPU #3: Gigabyte GTX 1070, 851.46 kH/s
[2017-12-28 12:52:57] GPU #3: start=7ffffffe end=830b88ee range=030b88f0
[2017-12-28 12:52:58] found => 800a958e 8e950a80
[2017-12-28 12:52:58] accepted: 1/1 (diff 0.040), 5393.90 kH/s yes!
[2017-12-28 12:52:58] sleeptime: 500 ms
[2017-12-28 12:52:58] DEBUG: job_id=a44bedb 000000042b4f0846 xnonce2=020000 time=12:52:27
[2017-12-28 12:52:58] GPU #3: start=7ffffffe end=831982aa range=031982ac
[2017-12-28 12:53:13] found => 80bdac7d 7dacbd80
[2017-12-28 12:53:13] GPU #3: Gigabyte GTX 1070, 873.41 kH/s
[2017-12-28 12:53:13] accepted: 2/2 (diff 0.077), 5397.24 kH/s yes!
[2017-12-28 12:53:13] sleeptime: 500 ms
[2017-12-28 12:53:13] DEBUG: job_id=a44bedb 000000042b4f0846 xnonce2=030000 time=12:52:27
[2017-12-28 12:53:13] GPU #3: start=7ffffffe end=831fa22a range=031fa22c
[2017-12-28 12:53:22] DEBUG: job_id=a44bf12 000000042b4f24d9 xnonce2=000000 time=12:53:22
[2017-12-28 12:53:22] neoscrypt.eu.nicehash.com:3341 asks job 726607065 for block 2023740
[2017-12-28 12:53:40] DEBUG: job_id=a44bf24 000000042b4f38b2 xnonce2=000000 time=12:53:40
[2017-12-28 12:53:40] neoscrypt block 2023741, diff 60.251
[2017-12-28 12:53:40] restart_threads
[2017-12-28 12:53:40] hashlog: 1/3 purged
[2017-12-28 12:53:40] job a44bf24 000000042b4f38b2 target change: 1fffe00000 (0.0)
[2017-12-28 12:53:40] GPU #0: start=00000000 end=03779b44 range=03779b44
[2017-12-28 12:53:40] job a44bf24 000000042b4f38b2 target change: 1fffe00000 (0.0)
[2017-12-28 12:53:40] GPU #2: start=55555554 end=5867394c range=0311e3f8
[2017-12-28 12:53:40] job a44bf24 000000042b4f38b2 target change: 1fffe00000 (0.0)
[2017-12-28 12:53:40] GPU #1: start=2aaaaaaa end=2dce0466 range=032359bc
[2017-12-28 12:53:40] job a44bf24 000000042b4f38b2 target change: 1fffe00000 (0.0)
[2017-12-28 12:53:40] GPU #4: start=aaaaaaa8 end=ae0acb9c range=036020f4
[2017-12-28 12:53:40] job a44bf24 000000042b4f38b2 target change: 1fffe00000 (0.0)
[2017-12-28 12:53:40] GPU #5: start=d5555552 end=d8791ade range=0323c58c
[2017-12-28 12:53:40] job a44bf24 000000042b4f38b2 target change: 1fffe00000 (0.0)
[2017-12-28 12:53:40] GPU #3: start=7ffffffe end=831fa22a range=031fa22c
[2017-12-28 12:53:41] found => 55651c60 601c6555
[2017-12-28 12:53:41] GPU #2: Gigabyte GTX 1070, 870.24 kH/s
[2017-12-28 12:53:41] GPU #2: start=55651c62 end=5881d6e2 range=031cba80
[2017-12-28 12:53:41] accepted: 3/3 (diff 0.084), 5409.08 kH/s yes!
[2017-12-28 12:53:50] GPU #0: 1871 MHz 5182.11 H/W 187W 62C FAN 80%
[2017-12-28 12:54:00] found => d6694919 194969d6
[2017-12-28 12:54:00] GPU #5: Gigabyte GTX 1070, 893.05 kH/s
[2017-12-28 12:54:01] accepted: 4/4 (diff 0.347), 5424.20 kH/s yes!
[2017-12-28 12:54:01] sleeptime: 500 ms
[2017-12-28 12:54:01] DEBUG: job_id=a44bf24 000000042b4f38b2 xnonce2=010000 time=12:53:40
[2017-12-28 12:54:01] GPU #5: start=d5555552 end=d886f2da range=03319d88
[2017-12-28 12:54:10] DEBUG: job_id=a44bf42 000000042b4f5097 xnonce2=000000 time=12:54:10
[2017-12-28 12:54:10] neoscrypt block 2023742, diff 56.486
[2017-12-28 12:54:10] restart_threads
[2017-12-28 12:54:10] hashlog: 1/5 purged
[2017-12-28 12:54:10] job a44bf42 000000042b4f5097 target change: 1fffe00000 (0.0)
[2017-12-28 12:54:10] GPU #2: start=55555554 end=58720fd4 range=031cba80
[2017-12-28 12:54:10] job a44bf42 000000042b4f5097 target change: 1fffe00000 (0.0)
[2017-12-28 12:54:10] GPU #1: start=2aaaaaaa end=2dce0466 range=032359bc
[2017-12-28 12:54:10] job a44bf42 000000042b4f5097 target change: 1fffe00000 (0.0)
[2017-12-28 12:54:10] GPU #0: start=00000000 end=03779b44 range=03779b44
[2017-12-28 12:54:10] job a44bf42 000000042b4f5097 target change: 1fffe00000 (0.0)
[2017-12-28 12:54:10] GPU #3: start=7ffffffe end=831fa22a range=031fa22c
[2017-12-28 12:54:10] job a44bf42 000000042b4f5097 target change: 1fffe00000 (0.0)
[2017-12-28 12:54:10] GPU #4: start=aaaaaaa8 end=ae0acb9c range=036020f4
[2017-12-28 12:54:10] job a44bf42 000000042b4f5097 target change: 1fffe00000 (0.0)
[2017-12-28 12:54:10] GPU #5: start=d5555552 end=d886f2da range=03319d88
[2017-12-28 12:54:20] DEBUG: job_id=a44bf4c 000000042b4f6ba8 xnonce2=000000 time=12:54:20
[2017-12-28 12:54:20] neoscrypt block 2023743, diff 53.796
[2017-12-28 12:54:20] restart_threads
[2017-12-28 12:54:20] job a44bf4c 000000042b4f6ba8 target change: 1fffe00000 (0.0)
[2017-12-28 12:54:20] GPU #1: start=2aaaaaaa end=2dce0466 range=032359bc
[2017-12-28 12:54:20] job a44bf4c 000000042b4f6ba8 target change: 1fffe00000 (0.0)
[2017-12-28 12:54:20] GPU #0: start=00000000 end=03779b44 range=03779b44
[2017-12-28 12:54:20] job a44bf4c 000000042b4f6ba8 target change: 1fffe00000 (0.0)
[2017-12-28 12:54:20] GPU #4: start=aaaaaaa8 end=ae0acb9c range=036020f4
[2017-12-28 12:54:20] job a44bf4c 000000042b4f6ba8 target change: 1fffe00000 (0.0)
[2017-12-28 12:54:20] GPU #2: start=55555554 end=58720fd4 range=031cba80
[2017-12-28 12:54:28] DEBUG: job_id=a44bf53 000000042b4f7406 xnonce2=000000 time=12:54:27
[2017-12-28 12:54:28] neoscrypt block 2023744, diff 51.234
[2017-12-28 12:54:28] restart_threads
[2017-12-28 12:54:28] job a44bf53 000000042b4f7406 target change: 1fffe00000 (0.0)
[2017-12-28 12:54:28] GPU #2: start=55555554 end=58720fd4 range=031cba80
[2017-12-28 12:54:28] job a44bf53 000000042b4f7406 target change: 1fffe00000 (0.0)
[2017-12-28 12:54:28] GPU #4: start=aaaaaaa8 end=ae0acb9c range=036020f4
[2017-12-28 12:54:28] job a44bf53 000000042b4f7406 target change: 1fffe00000 (0.0)
[2017-12-28 12:54:28] GPU #1: start=2aaaaaaa end=2dce0466 range=032359bc
[2017-12-28 12:54:28] job a44bf53 000000042b4f7406 target change: 1fffe00000 (0.0)
[2017-12-28 12:54:28] GPU #0: start=00000000 end=03779b44 range=03779b44
[2017-12-28 12:55:06] DEBUG: job_id=a44bf7a 000000042b4f92e9 xnonce2=000000 time=12:55:06
[2017-12-28 12:55:06] neoscrypt block 2023745, diff 49.582
[2017-12-28 12:55:06] restart_threads
[2017-12-28 12:55:06] job a44bf7a 000000042b4f92e9 target change: 1fffe00000 (0.0)
[2017-12-28 12:55:06] GPU #2: start=55555554 end=58720fd4 range=031cba80
[2017-12-28 12:55:06] job a44bf7a 000000042b4f92e9 target change: 1fffe00000 (0.0)
[2017-12-28 12:55:06] GPU #0: start=00000000 end=03779b44 range=03779b44
[2017-12-28 12:55:06] job a44bf7a 000000042b4f92e9 target change: 1fffe00000 (0.0)
[2017-12-28 12:55:06] GPU #1: start=2aaaaaaa end=2dce0466 range=032359bc
[2017-12-28 12:55:06] job a44bf7a 000000042b4f92e9 target change: 1fffe00000 (0.0)
[2017-12-28 12:55:06] GPU #4: start=aaaaaaa8 end=ae0acb9c range=036020f4
[2017-12-28 12:55:08] GPU #1: 1885 MHz 4711.03 H/W 186W 65C FAN 80%
[2017-12-28 12:55:15] DEBUG: job_id=a44bf83 000000042b4fb71f xnonce2=000000 time=12:55:15
[2017-12-28 12:55:15] neoscrypt block 2023746, diff 47.982
[2017-12-28 12:55:15] restart_threads
[2017-12-28 12:55:15] job a44bf83 000000042b4fb71f target change: 1fffe00000 (0.0)
[2017-12-28 12:55:15] GPU #0: start=00000000 end=03779b44 range=03779b44
[2017-12-28 12:55:15] job a44bf83 000000042b4fb71f target change: 1fffe00000 (0.0)
[2017-12-28 12:55:15] GPU #2: start=55555554 end=58720fd4 range=031cba80
[2017-12-28 12:55:15] job a44bf83 000000042b4fb71f target change: 1fffe00000 (0.0)
[2017-12-28 12:55:15] GPU #4: start=aaaaaaa8 end=ae0acb9c range=036020f4
[2017-12-28 12:55:15] job a44bf83 000000042b4fb71f target change: 1fffe00000 (0.0)
[2017-12-28 12:55:15] GPU #1: start=2aaaaaaa end=2dce0466 range=032359bc
[2017-12-28 12:55:18] DEBUG: job_id=a44bf86 000000042b4fc50e xnonce2=000000 time=12:55:18
[2017-12-28 12:55:18] neoscrypt block 2023747, diff 47.982
[2017-12-28 12:55:18] restart_threads
[2017-12-28 12:55:18] job a44bf86 000000042b4fc50e target change: 1fffe00000 (0.0)
[2017-12-28 12:55:18] GPU #0: start=00000000 end=03779b44 range=03779b44
[2017-12-28 12:55:18] job a44bf86 000000042b4fc50e target change: 1fffe00000 (0.0)
[2017-12-28 12:55:18] GPU #4: start=aaaaaaa8 end=ae0acb9c range=036020f4
[2017-12-28 12:55:18] job a44bf86 000000042b4fc50e target change: 1fffe00000 (0.0)
[2017-12-28 12:55:18] GPU #1: start=2aaaaaaa end=2dce0466 range=032359bc
[2017-12-28 12:55:18] job a44bf86 000000042b4fc50e target change: 1fffe00000 (0.0)
[2017-12-28 12:55:18] GPU #2: start=55555554 end=58720fd4 range=031cba80
[2017-12-28 12:55:23] DEBUG: job_id=a44bf8b 000000042b4fdbb5 xnonce2=000000 time=12:55:23
[2017-12-28 12:55:23] neoscrypt block 2023748, diff 48.795
[2017-12-28 12:55:23] restart_threads
[2017-12-28 12:55:23] job a44bf8b 000000042b4fdbb5 target change: 1fffe00000 (0.0)
[2017-12-28 12:55:23] GPU #1: start=2aaaaaaa end=2dce0466 range=032359bc
[2017-12-28 12:55:23] job a44bf8b 000000042b4fdbb5 target change: 1fffe00000 (0.0)
[2017-12-28 12:55:23] GPU #0: start=00000000 end=03779b44 range=03779b44
[2017-12-28 12:55:23] job a44bf8b 000000042b4fdbb5 target change: 1fffe00000 (0.0)
[2017-12-28 12:55:23] GPU #4: start=aaaaaaa8 end=ae0acb9c range=036020f4
[2017-12-28 12:55:23] job a44bf8b 000000042b4fdbb5 target change: 1fffe00000 (0.0)
[2017-12-28 12:55:23] GPU #2: start=55555554 end=58720fd4 range=031cba80
[2017-12-28 12:55:28] DEBUG: job_id=a44bf90 000000042b4ff66e xnonce2=000000 time=12:55:28
[2017-12-28 12:55:28] neoscrypt block 2023749, diff 50.478
[2017-12-28 12:55:28] restart_threads
[2017-12-28 12:55:28] job a44bf90 000000042b4ff66e target change: 1fffe00000 (0.0)
[2017-12-28 12:55:28] GPU #4: start=aaaaaaa8 end=ae0acb9c range=036020f4
[2017-12-28 12:55:28] job a44bf90 000000042b4ff66e target change: 1fffe00000 (0.0)
[2017-12-28 12:55:28] GPU #1: start=2aaaaaaa end=2dce0466 range=032359bc
[2017-12-28 12:55:28] job a44bf90 000000042b4ff66e target change: 1fffe00000 (0.0)
[2017-12-28 12:55:28] GPU #2: start=55555554 end=58720fd4 range=031cba80
[2017-12-28 12:55:28] job a44bf90 000000042b4ff66e target change: 1fffe00000 (0.0)
[2017-12-28 12:55:28] GPU #0: start=00000000 end=03779b44 range=03779b44
[2017-12-28 12:55:33] DEBUG: job_id=a44bf95 000000042b500f61 xnonce2=000000 time=12:55:33
[2017-12-28 12:55:33] neoscrypt block 2023750, diff 52.219
[2017-12-28 12:55:33] restart_threads
[2017-12-28 12:55:33] job a44bf95 000000042b500f61 target change: 1fffe00000 (0.0)
[2017-12-28 12:55:33] GPU #1: start=2aaaaaaa end=2dce0466 range=032359bc
[2017-12-28 12:55:33] job a44bf95 000000042b500f61 target change: 1fffe00000 (0.0)
[2017-12-28 12:55:33] GPU #4: start=aaaaaaa8 end=ae0acb9c range=036020f4
[2017-12-28 12:55:33] job a44bf95 000000042b500f61 target change: 1fffe00000 (0.0)
[2017-12-28 12:55:33] GPU #0: start=00000000 end=03779b44 range=03779b44
[2017-12-28 12:55:33] job a44bf95 000000042b500f61 target change: 1fffe00000 (0.0)
[2017-12-28 12:55:33] GPU #2: start=55555554 end=58720fd4 range=031cba80

Ubuntu 17.10 amd64
Gigabyte GTX 1070 x6
nvidia-384
nvcc_ARCH = -gencode=arch=compute_61,code=\"sm_61,compute_61\"

Code:

user@rig1:~/ccminer/ccminer$ ccminer -V
*** ccminer 2.2.4 for nVidia GPUs by tpruvot@github ***                                                                                                                                                                                                                        
    Built with the nVidia CUDA Toolkit 8.0 64-bits                                                                                                                                                                                                                             
                                                                                                                                                                                                                                                                               
  Originally based on Christian Buchner and Christian H. project                                                                                                                                                                                                               
  Include some kernels from alexis78, djm34, djEzo, tsiv and krnlx.                                                                                                                                                                                                            
                                                                                                                                                                                                                                                                               
BTC donation address: 1AJdfCpLWPNoAMDfHF1wD5y8VgKSSTHxPo (tpruvot)                                                                                                                                                                                                             
                                                                                                                                                                                                                                                                               
ccminer v2.2.4                                                                                                                                                                                                                                                                 
libcurl/7.55.1 OpenSSL/1.0.2g zlib/1.2.11 libidn2/2.0.2 libpsl/0.18.0 (+libidn2/2.0.2) librtmp/2.3      

             

Please, tell me how it can be fixed?
What information is required to solve the problem?

[niehues313]

Hi guys. Trying to mine nist5 algo on ccminer Ubuntu 17.

./ccminer -a nist5 -o stratum+tcp://yiimp.poolofd32th.club:3833 -u my wallet -p c=BWK

All 5 Nvidia GTX 1070 recognized. Pool, block and dificulty recognized.

Then following error: Cuda error in func 'scanhash_nist5' at line 85 : unknown error.

Tried to edit Makefile.am but still didn't work. Please help. Thanks already.

[Epsylon3]

use nvidia drivers, not ubuntu packages

[HellzFX]

Getting this error. Is there anything I can do or does ccminer not currently support nanopool's ZEC?

https://image.ibb.co/dqzN7G/xtranonce.png

[sofuego]

Sorry if this is a repeated question but I was wondering if builds on Linux can be used on different systems on the same setup with a different GPU? Currently don't have the hardware to test.

I was having so much trouble building on my CentOS setup that I built a small repo when I found a way to make it work through Docker
https://github.com/coreyryanhanson/dockerfiles/tree/master/ccminer-nvidia

I was wondering if it was possible for me to clean up the build and make an image without all the development files or if each person who uses it would need to set up their own unique build.

Thanks!!!

[niehues313]

use nvidia drivers, not ubuntu packages

I am using latest driver from Nvidia and latest CUDA from Nvdia 9.1

After changing a detail in the Makefile.AM this happens:

https://www.photobox.co.uk/my/photo/full?photo_id=500433886499

Recognizes speed, fan of one GPU but does not start mining.

Any ideia what this can be? thanks.

[salshicha]

2.2.3 release is legit?

[bensam1231]

Ever notice how most of the help posts are from nix users. So much for the famed masterace. 99.99% uptime as long as you never change anything ever.

[pallas]

Ever notice how most of the help posts are from nix users. So much for the famed masterace. 99.99% uptime as long as you never change anything ever.

Don't enjoy being Unix ignorant.