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Topic: excavator by NiceHash - multi-algorithm NVIDIA GPU miner [1.5.6a] - page 19. (Read 179266 times)

sr. member
Activity: 728
Merit: 304
Miner Developer
Thanks for the new version Version 1.3.5 alpha NVIDIA !
On 1.3.4 - frost the screen at five 1070? on 1.3.5 - fixed!

CryptoNight GTX 1070  - 660.0 !!!
CryptoNight GTX 1080Ti  - 800.0 !

CryptoNight GTX 1080  - 530.0 :-( Still low speed. Apparently the video memory is to blame?

What is expected with CryptoNight  GTX 1060 3GB?
Also what settings?
1 worker per card with default settings (no paremeters) don't give good performance in exevator...

Thanks in advance!


I might have not tuned cryptonight for 1060 3GB. I will get to it.
sr. member
Activity: 728
Merit: 304
Miner Developer
Thanks for the new version Version 1.3.5 alpha NVIDIA !
On 1.3.4 - frost the screen at five 1070? on 1.3.5 - fixed!

CryptoNight GTX 1070  - 660.0 !!!
CryptoNight GTX 1080Ti  - 800.0 !

CryptoNight GTX 1080  - 530.0 :-( Still low speed. Apparently the video memory is to blame?

Yeah, I was working all day yesterday to fix these bugs. You really have to jump through hoops sometimes.
The unexpectedly low performance on 1080 is still pretty mysterious to me.
I must have messed up global memory access somewhere. I will try to fix it as soon as possible.
hero member
Activity: 796
Merit: 505
Thanks for the new version Version 1.3.5 alpha NVIDIA !
On 1.3.4 - frost the screen at five 1070? on 1.3.5 - fixed!

CryptoNight GTX 1070  - 660.0 !!!
CryptoNight GTX 1080Ti  - 800.0 !

CryptoNight GTX 1080  - 530.0 :-( Still low speed. Apparently the video memory is to blame?

What is expected with CryptoNight  GTX 1060 3GB?
Also what settings?
1 worker per card with default settings (no paremeters) don't give good performance in exevator...

Thanks in advance!
member
Activity: 68
Merit: 10
Thanks for the new version Version 1.3.5 alpha NVIDIA !
On 1.3.4 - frost the screen at five 1070? on 1.3.5 - fixed!

CryptoNight GTX 1070  - 660.0 !!!
CryptoNight GTX 1080Ti  - 800.0 !

CryptoNight GTX 1080  - 530.0 :-( Still low speed. Apparently the video memory is to blame?
jr. member
Activity: 132
Merit: 7
How to add a backup pool?

You can't. Excavator doesn't support backup pools.

jr. member
Activity: 132
Merit: 7
When using the miner do i need to alter any settings in afterburner or will the miner alter these for me?

this is on Nvidia

You should alter GPU settings on your own, miner will not change them automatically.

You can either set GPU settings in afterburner or using Excavator's api (see device related get and set methods). It's up to you.
https://github.com/nicehash/excavator/tree/master/api#methods

sr. member
Activity: 488
Merit: 322
When using the miner do i need to alter any settings in afterburner or will the miner alter these for me?

this is on Nvidia
newbie
Activity: 51
Merit: 0
How to add a backup pool?
member
Activity: 68
Merit: 10
hi2all
How to connect the excavator to the VTC p2pool, for example here http://vtc.geekboxit.com:9171/static/ ?

Please help!

In this case, do not connect - the pool developer abandoned it a few years ago https://github.com/justino/p2pool-ui-punchy
Hardly he will rewrite his stratum protocols

Use https://www.coinotron.com
newbie
Activity: 3
Merit: 0
hi2all
How to connect the excavator to the VTC p2pool, for example here http://vtc.geekboxit.com:9171/static/ ?

default_command_file.json:
Code:
[
{"time":0,"commands":[
{"id":1,"method":"algorithm.add","params":["lyra2rev2","vtc.geekboxit.com:9171","VnVVbXctPDi4F7aUXWiS2D6mNuStZsU4bG"]}
]},
{"time":3,"commands":[
{"id":1,"method":"worker.add","params":["0","0"]},
                {"id":1,"method":"worker.add","params":["0","1"]}
]},
{"time":10,"loop":10,"commands":[
{"id":1,"method":"worker.print.speed","params":["0"]},
{"id":1,"method":"algorithm.print.speeds","params":["0"]},
                {"id":1,"method":"worker.print.speed","params":["1"]},
{"id":1,"method":"algorithm.print.speeds","params":["1"]}
               
]}
]

Miner return:
Code:
[19:01:39][0x00000654][info] Log started
[19:01:39][0x00000654][info] core | Found CUDA device: GeForce GTX 1080
[19:01:40][0x00000654][info] core | Found CUDA device: GeForce GTX 1080
[19:01:40][0x00000654][info] http | Listening on 127.0.0.1:38080
[19:01:40][0x00000654][info] core | Initialized!
[19:01:40][0x00001904][info] net | Connecting to 45.76.249.234:9171 (vtc.geekboxit.com)
[19:01:40][0x00001904][info] net | Connected!
[19:01:40][0x00002130][warning] net | Net error: JSON member "error" not expected type: Array
[19:01:40][0x00002130][warning] net | Net error: JSON member missing: "error"
[19:01:40][0x00002130][warning] net | Net error: JSON member missing: "error"
[19:01:40][0x00001904][warning] net | Net error: JSON member missing: "error"
[19:01:41][0x00001904][warning] net | Net error: JSON member missing: "error"
[19:01:43][0x00002b84][info] wrkr1-1 | Algorithm: CUDA-lyra2rev2 parameters: T=2810880
[19:01:43][0x00001f4c][info] wrkr0-0 | Algorithm: CUDA-lyra2rev2 parameters: T=2810880
[19:01:46][0x00002130][warning] net | Net error: JSON member missing: "error"
[19:01:46][0x00001904][warning] net | Net error: JSON member missing: "error"
[19:01:50][0x00002130][info] core | Device #0-0 speed: 0.000000 H/s
[19:01:50][0x00002130][info] core | Algorithm 'lyra2rev2' total speed: 0.000000 H/s
[19:01:50][0x00002130][info] core | Device #1-1 speed: 0.000000 H/s
[19:01:50][0x00002130][info] core | Algorithm 'lyra2rev2' total speed: 0.000000 H/s
https://imgur.com/a/mjBTg

Please help!
newbie
Activity: 81
Merit: 0
please add the Phi1612 algo so that we can mine LUX Coin. Right now it's one of the most profitable coins to mine on Nvidia.
member
Activity: 68
Merit: 10
Please try to run 1.3.4a version with one worker per device (don't change the default parameters).

Code:
[
{"time":0,"commands":[
{"id":1,"method":"algorithm.add","params":["equihash","equihash.eu.nicehash.com:3357","*****"]}
]},
{"time":3,"commands":[
{"id":1,"method":"worker.add","params":["0","0"]},
{"id":1,"method":"worker.add","params":["0","1"]},
{"id":1,"method":"worker.add","params":["0","2"]},
{"id":1,"method":"worker.add","params":["0","3"]},
{"id":1,"method":"worker.add","params":["0","4"]}
]},
{"time":10,"loop":10,"commands":[
{"id":1,"method":"algorithm.print.speeds","params":["0"]}
]},
{"time":10,"commands":[
{"id":1,"method":"worker.reset","params":["0"]},
{"id":1,"method":"worker.reset","params":["1"]},
{"id":1,"method":"worker.reset","params":["2"]},
{"id":1,"method":"worker.reset","params":["3"]},
{"id":1,"method":"worker.reset","params":["4"]}
]}
]


jr. member
Activity: 132
Merit: 7
member
Activity: 68
Merit: 10
Excavator version: 1.3.4a_nvidia :
GTX 1070x5 Equihash with 1 worker and M2 - 2.071 kH/s

Code:
[
{"time":1,"commands":[
{"id":1,"method":"algorithm.add","params":["equihash","equihash.eu.nicehash.com:3357","**********************"]}
]},
{"time":2,"commands":[
{"id":1,"method":"worker.add","params":["0","0","2"]},
{"id":1,"method":"worker.add","params":["0","1","2"]},
{"id":1,"method":"worker.add","params":["0","2","2"]},
{"id":1,"method":"worker.add","params":["0","3","2"]},
{"id":1,"method":"worker.add","params":["0","4","2"]}
]},
{"time":5,"commands":[
{"id":1,"method":"device.set.tdp","params": ["0","80"]},
{"id":1,"method":"device.set.core_delta","params": ["0","80"]},
{"id":1,"method":"device.set.memory_delta","params":["0","680"]},
{"id":1,"method":"device.set.tdp","params": ["1","80"]},
{"id":1,"method":"device.set.core_delta","params": ["1","100"]},
{"id":1,"method":"device.set.memory_delta","params":["1","680"]},
{"id":1,"method":"device.set.tdp","params": ["2","80"]},
{"id":1,"method":"device.set.core_delta","params": ["2","100"]},
{"id":1,"method":"device.set.memory_delta","params":["2","680"]},
{"id":1,"method":"device.set.tdp","params": ["3","80"]},
{"id":1,"method":"device.set.core_delta","params": ["3","100"]},
{"id":1,"method":"device.set.memory_delta","params":["3","680"]},
{"id":1,"method":"device.set.tdp","params": ["4","80"]},
{"id":1,"method":"device.set.core_delta","params": ["4","100"]},
{"id":1,"method":"device.set.memory_delta","params":["4","680"]}
]},
{"time":10,"commands":[
{"id":1,"method":"worker.reset","params":["0"]},
{"id":1,"method":"worker.reset","params":["1"]},
{"id":1,"method":"worker.reset","params":["2"]},
{"id":1,"method":"worker.reset","params":["3"]},
{"id":1,"method":"worker.reset","params":["4"]},
{"id":1,"method":"worker.reset","params":["5"]},
{"id":1,"method":"worker.reset","params":["6"]},
{"id":1,"method":"worker.reset","params":["7"]},
{"id":1,"method":"worker.reset","params":["8"]},
{"id":1,"method":"worker.reset","params":["9"]}
]},
{"time":15,"loop":20,"commands":[
{"id":1,"method":"worker.print.speed","params":["0"]},
{"id":1,"method":"worker.print.speed","params":["1"]},
{"id":1,"method":"worker.print.speed","params":["2"]},
{"id":1,"method":"worker.print.speed","params":["3"]},
{"id":1,"method":"worker.print.speed","params":["4"]},
{"id":1,"method":"worker.print.speed","params":["5"]},
{"id":1,"method":"worker.print.speed","params":["6"]},
{"id":1,"method":"worker.print.speed","params":["7"]},
{"id":1,"method":"worker.print.speed","params":["8"]},
{"id":1,"method":"worker.print.speed","params":["9"]},
{"id":1,"method":"algorithm.print.speeds","params":["0"]}
]},
{"event":"on_quit","commands":[
{"id":1,"method":"device.set.tdp","params": ["0","100"]},
{"id":1,"method":"device.set.core_delta","params": ["0","0"]},
{"id":1,"method":"device.set.memory_delta","params":["0","0"]},
{"id":1,"method":"device.set.tdp","params": ["1","100"]},
{"id":1,"method":"device.set.core_delta","params": ["1","0"]},
{"id":1,"method":"device.set.memory_delta","params":["1","0"]},
{"id":1,"method":"device.set.tdp","params": ["2","100"]},
{"id":1,"method":"device.set.core_delta","params": ["2","0"]},
{"id":1,"method":"device.set.memory_delta","params":["2","0"]},
{"id":1,"method":"device.set.tdp","params": ["3","100"]},
{"id":1,"method":"device.set.core_delta","params": ["3","0"]},
{"id":1,"method":"device.set.memory_delta","params":["3","0"]},
{"id":1,"method":"device.set.tdp","params": ["4","100"]},
{"id":1,"method":"device.set.core_delta","params": ["4","0"]},
{"id":1,"method":"device.set.memory_delta","params":["4","0"]}
]}
]


member
Activity: 68
Merit: 10
You should use one worker per device when running with M2. M2 mode is already using 2 streams.

M1 should perform better with one worker than two.

Excavator version: 1.3.3a_nvidia :
GTX 1070x5 Equihash with 2 worker and M0 - 2.226 kH/s
Excavator version: 1.3.4a_nvidia :
GTX 1070x5 Equihash with 2 worker and M0 - 2.168 kH/s

This is weird. There were no changes regarding M0 mode. Speed is usually bouncing up and down a little, could that be the reason?

Our tests showed running M1 with one worker should reach the highest rates.

What version of drivers do you have? Also can you tell me your oc settings (mem, cor, power limit)? Thanks.

Windows 10 x64
5x GIGABYTE GeForce GTX 1070 G1 GAMING [GV-N1070G1 GAMING-8GD]
Drivers 382.05
Code:
{"time":5,"commands":[
{"id":1,"method":"device.set.tdp","params": ["0","80"]},
{"id":1,"method":"device.set.core_delta","params": ["0","80"]},
{"id":1,"method":"device.set.memory_delta","params":["0","680"]},
{"id":1,"method":"device.set.tdp","params": ["1","80"]},
{"id":1,"method":"device.set.core_delta","params": ["1","100"]},
{"id":1,"method":"device.set.memory_delta","params":["1","680"]},
{"id":1,"method":"device.set.tdp","params": ["2","80"]},
{"id":1,"method":"device.set.core_delta","params": ["2","100"]},
{"id":1,"method":"device.set.memory_delta","params":["2","680"]},
{"id":1,"method":"device.set.tdp","params": ["3","80"]},
{"id":1,"method":"device.set.core_delta","params": ["3","100"]},
{"id":1,"method":"device.set.memory_delta","params":["3","680"]},
{"id":1,"method":"device.set.tdp","params": ["4","80"]},
{"id":1,"method":"device.set.core_delta","params": ["4","100"]},
{"id":1,"method":"device.set.memory_delta","params":["4","680"]}
]},
jr. member
Activity: 132
Merit: 7
Excavator version: 1.3.3a_nvidia :
GTX 1070x5 Equihash with 2 worker and M0 - 2.226 kH/s

Excavator version: 1.3.4a_nvidia :
GTX 1070x5 Equihash with 2 worker and M0 - 2.168 kH/s
GTX 1070x5 Equihash with 2 worker and M1 - 2.194 kH/s

GTX 1070x5 Equihash with 2 worker and M2 - 2.095 kH/s GPU usage 93%
And after 10 minuts: [09:32:56][0x00000fa4][fatal] wrkr3-6 | CUDA error DRIVER: '719' in func 'kernel_launcher::copy_solutions_multi_stream' line 448

GTX 1070x5 Equihash with 1 worker and M0 - 1.977 kH/s
GTX 1070x5 Equihash with 1 worker and M1 - 2.208 kH/s
GTX 1070x5 Equihash with 1 worker and M2 - 2.075 kH/s

GTX 1070x5 Equihash with 3 worker and M2 - 2.075 kH/s
And after 3 minuts "CUDA error DRIVER" and crash Windows 10

I return to the version 1.3.3a_nvidia :-(



You should use one worker per device when running with M2. M2 mode is already using 2 streams.

M1 should perform better with one worker than two.

Excavator version: 1.3.3a_nvidia :
GTX 1070x5 Equihash with 2 worker and M0 - 2.226 kH/s
Excavator version: 1.3.4a_nvidia :
GTX 1070x5 Equihash with 2 worker and M0 - 2.168 kH/s

This is weird. There were no changes regarding M0 mode. Speed is usually bouncing up and down a little, could that be the reason?


Our tests showed running M1 with one worker should reach the highest rates.


What version of drivers do you have? Also can you tell me your oc settings (mem, cor, power limit)? Thanks.

member
Activity: 68
Merit: 10
Excavator version: 1.3.3a_nvidia :
GTX 1070x5 Lyra2REv2 with 2 worker - 197.453 kH/s

Excavator version: 1.3.4a_nvidia :
GTX 1070x5 Lyra2REv2 with 2 worker - 199.717 kH/s :-)
GTX 1070x5 Lyra2REv2 with 1 worker - 198.338 kH/s
member
Activity: 68
Merit: 10
Excavator version: 1.3.3a_nvidia :
GTX 1080 Ti Lyra2REv2 with 2 worker - 72.735 MH/s

Excavator version: 1.3.4a_nvidia :
GTX 1080 Ti Lyra2REv2 with 2 worker - 74.624 MH/s :-)
GTX 1080 Ti Lyra2REv2 with 1 worker - 72.927 MH/s (GPU load 98%)

Good job!
member
Activity: 68
Merit: 10
Excavator version: 1.3.3a_nvidia :
GTX 1080 Lyra2REv2 with 2 worker - 52.357 MH/s

Excavator version: 1.3.4a_nvidia :
GTX 1080 Lyra2REv2 with 2 worker - 53.182 MH/s :-)
GTX 1080 Lyra2REv2 with 1 worker - 52.625 MH/s

Good job!
member
Activity: 68
Merit: 10
Excavator version: 1.3.3a_nvidia :
GTX 1070x5 Equihash with 2 worker and M0 - 2.226 kH/s

Excavator version: 1.3.4a_nvidia :
GTX 1070x5 Equihash with 2 worker and M0 - 2.168 kH/s
GTX 1070x5 Equihash with 2 worker and M1 - 2.194 kH/s

GTX 1070x5 Equihash with 2 worker and M2 - 2.095 kH/s GPU usage 93%
And after 10 minuts: [09:32:56][0x00000fa4][fatal] wrkr3-6 | CUDA error DRIVER: '719' in func 'kernel_launcher::copy_solutions_multi_stream' line 448

GTX 1070x5 Equihash with 1 worker and M0 - 1.977 kH/s
GTX 1070x5 Equihash with 1 worker and M1 - 2.208 kH/s
GTX 1070x5 Equihash with 1 worker and M2 - 2.075 kH/s

GTX 1070x5 Equihash with 3 worker and M2 - 2.075 kH/s
And after 3 minuts "CUDA error DRIVER" and crash Windows 10

I return to the version 1.3.3a_nvidia :-(

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