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Nvidia

The document provides configuration settings for GPU mining using xmr-stak, including parameters such as threads, blocks, bfactor, and bsleep. It suggests optimal values to reduce GPU lag and improve performance, along with a sample configuration for a GeForce GTX 1060. Additionally, it offers guidance on how to adjust settings for better mining efficiency.

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Forex Trading
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50 views1 page

Nvidia

The document provides configuration settings for GPU mining using xmr-stak, including parameters such as threads, blocks, bfactor, and bsleep. It suggests optimal values to reduce GPU lag and improve performance, along with a sample configuration for a GeForce GTX 1060. Additionally, it offers guidance on how to adjust settings for better mining efficiency.

Uploaded by

Forex Trading
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as TXT, PDF, TXT or read online on Scribd
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// generated by xmr-stak/2.9.

0/61e997c34/master/win/nvidia-amd-cpu/20

/*
* GPU configuration. You should play around with threads and blocks as the fastest
settings will vary.
* index - GPU index number usually starts from 0.
* threads - Number of GPU threads (nothing to do with CPU threads).
* blocks - Number of GPU blocks (nothing to do with CPU threads).
* bfactor - Enables running the Cryptonight kernel in smaller pieces.
* Increase if you want to reduce GPU lag. Recommended setting on
GUI systems - 8
* bsleep - Insert a delay of X microseconds between kernel launches.
* Increase if you want to reduce GPU lag. Recommended setting on
GUI systems - 100
* affine_to_cpu - This will affine the thread to a CPU. This can make a GPU miner
play along nicer with a CPU miner.
* sync_mode - method used to synchronize the device
* documentation: http://docs.nvidia.com/cuda/cuda-runtime-
api/group__CUDART__DEVICE.html#group__CUDART__DEVICE_1g69e73c7dda3fc05306ae7c811a69
0fac
* 0 = cudaDeviceScheduleAuto
* 1 = cudaDeviceScheduleSpin - create a high load on one cpu
thread per gpu
* 2 = cudaDeviceScheduleYield
* 3 = cudaDeviceScheduleBlockingSync (default)
* mem_mode - select the memory access pattern (this option has only a meaning
for cryptonight_v8 and monero)
* 0 = 64bit memory loads
* 1 = 256bit memory loads
*
* On the first run the miner will look at your system and suggest a basic
configuration that will work,
* you can try to tweak it from there to get the best performance.
*
* A filled out configuration should look like this:
* "gpu_threads_conf" :
* [
* { "index" : 0, "threads" : 17, "blocks" : 60, "bfactor" : 0, "bsleep" : 0,
* "affine_to_cpu" : false, "sync_mode" : 3, "mem_mode" : 1
* },
* ],
* If you do not wish to mine with your nVidia GPU(s) then use:
* "gpu_threads_conf" :
* null,
*/

"gpu_threads_conf" :
[
// gpu: GeForce GTX 1060 6GB architecture: 61
// memory: 5222/6144 MiB
// smx: 10
{ "index" : 0,
"threads" : 8, "blocks" : 70,
"bfactor" : 6, "bsleep" : 25,
"affine_to_cpu" : false, "sync_mode" : 3,
"mem_mode" : 1,
},

],

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