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XMR-Stak configuration update guide from v2.4 to v2.5

Miners
, , ,
#62

Post your config. It’s hard to say without it
Also post your - linux kernel and drivers version

#63

Can someone post his whole config?

Кто нибудь может показать полный конфиг?

у меня главная проблема это
[2018-10-20 21:24:33] : File is empty or too short - config.txt.

xmr-stak exited, waiting to cooldown a bit

#64 
=== /hive/xmr-stak/config.txt =================================================

“pool_list”: [
{
“pool_address”: “pool.supportxmr.com:7777”,
“wallet_address”: “463tWEBn5XZJSxLU6uLQnQ2iY9xuNcDbjLSjkn3XAXHCbLrTTErJrBWYgHJQyrCwkNgYvyV3z8zctJLPCZy24jvb3NiTcTJ.523ed9c5bdc64797bffbb99123963f8b0e858895c1064699b4f3a438b7d9d19b”,
“pool_password”: “BarryRig01”,
“use_nicehash”: false,
“use_tls”: false,
“tls_fingerprint”: “”,
“pool_weight”: 1,
“rig_id”: “BarryRig01”
}
],
“currency”: “monero”,
“call_timeout”: 10,
“retry_time”: 30,
“giveup_limit”: 0,
“verbose_level”: 3,
“print_motd”: true,
“h_print_time”: 60,
“aes_override”: null,
“use_slow_memory”: “warn”,
“tls_secure_algo”: true,
“daemon_mode”: false,
“flush_stdout”: false,
“output_file”: “/var/log/miner/xmr-stak/xmr-stak.log”,
“httpd_port”: 60045,
“http_login”: “”,
“http_pass”: “”,
“prefer_ipv4”: true

=== /hive/xmr-stak/amd.txt =================================================
// generated by xmr-stak/2.5.1/4e72408/master/lin/nvidia-amd-cpu/0

/*

  • GPU configuration. You should play around with intensity and worksize as the fastest settings will vary.
  • index - GPU index number usually starts from 0
  • intensity - Number of parallel GPU threads (nothing to do with CPU threads)
  • worksize - Number of local GPU threads (nothing to do with CPU threads)
  • affine_to_cpu - This will affine the thread to a CPU. This can make a GPU miner play along nicer with a CPU miner.
  • strided_index - switch memory pattern used for the scratch pad memory
  •             2 = chunked memory, chunk size is controlled by 'mem_chunk'

  •                 required: intensity must be a multiple of worksize

  •             1 or true  = use 16byte contiguous memory per thread, the next memory block has offset of intensity blocks

  •                         (for cryptonight_v8 and monero it is equal to strided_index = 0)

  •             0 or false = use a contiguous block of memory per thread
  • mem_chunk - range 0 to 18: set the number of elements (16byte) per chunk
  •             this value is only used if 'strided_index' == 2

  •             element count is computed with the equation: 2 to the power of 'mem_chunk' e.g. 4 means a chunk of 16 elements(256byte)
  • unroll - allow to control how often the POW main loop is unrolled; valid range [1;128) - for most OpenCL implementations it must be a power of two.
  • comp_mode - Compatibility enable/disable the automatic guard around compute kernel which allows
  •             to use a intensity which is not the multiple of the worksize.

  •             If you set false and the intensity is not multiple of the worksize the miner can crash:

  •             in this case set the intensity to a multiple of the worksize or activate comp_mode.
  • “gpu_threads_conf” :
  • [
  • { “index” : 0, “intensity” : 1000, “worksize” : 8, “affine_to_cpu” : false,
  • “strided_index” : true, “mem_chunk” : 2, “unroll” : 8, “comp_mode” : true },
  • ],
  • If you do not wish to mine with your AMD GPU(s) then use:
  • “gpu_threads_conf” :
  • null,
    */

“gpu_threads_conf” : [
// gpu: Ellesmere memory:3711
// compute units: 36
{ “index” : 0,
“intensity” : 864, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
// gpu: Ellesmere memory:3711
// compute units: 32
{ “index” : 1,
“intensity” : 768, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
// gpu: Ellesmere memory:3711
// compute units: 32
{ “index” : 2,
“intensity” : 768, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
// gpu: Ellesmere memory:3711
// compute units: 32
{ “index” : 3,
“intensity” : 768, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
// gpu: Ellesmere memory:3711
// compute units: 32
{ “index” : 4,
“intensity” : 768, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
// gpu: Ellesmere memory:3711
// compute units: 36
{ “index” : 5,
“intensity” : 864, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
// gpu: Ellesmere memory:3711
// compute units: 36
{ “index” : 6,
“intensity” : 864, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
// gpu: Ellesmere memory:3711
// compute units: 36
{ “index” : 7,
“intensity” : 864, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
// gpu: Ellesmere memory:3711
// compute units: 36
{ “index” : 8,
“intensity” : 864, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
// gpu: Ellesmere memory:3711
// compute units: 36
{ “index” : 9,
“intensity” : 864, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
// gpu: Ellesmere memory:3711
// compute units: 32
{ “index” : 10,
“intensity” : 768, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
// gpu: Ellesmere memory:3711
// compute units: 36
{ “index” : 11,
“intensity” : 864, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},

],

/*

  • Platform index. This will be 0 unless you have different OpenCL platform - eg. AMD and Intel.
    */
    “platform_index” : 0,

=== /hive/xmr-stak/nvidia.txt =================================================
cat: /hive/xmr-stak/nvidia.txt: No such file or directory

=== /hive/xmr-stak/cpu.txt =================================================
// generated by xmr-stak/2.5.1/4e72408/master/lin/nvidia-amd-cpu/0

/*

  • Thread configuration for each thread. Make sure it matches the number above.
  • low_power_mode - This can either be a boolean (true or false), or a number between 1 to 5. When set to true,
  •              this mode will double the cache usage, and double the single thread performance. It will

  •              consume much less power (as less cores are working), but will max out at around 80-85% of

  •              the maximum performance. When set to a number N greater than 1, this mode will increase the

  •              cache usage and single thread performance by N times.
  • no_prefetch - Some systems can gain up to extra 5% here, but sometimes it will have no difference or make
  •              things slower.
  • asm - Allow to switch to a assembler version of cryptonight_v8; allowed value [auto, off, intel_avx, amd_avx]
  •                - auto: xmr-stak will automatically detect the asm type (default)

  •                - off: disable the usage of optimized assembler

  •                - intel_avx: supports Intel cpus with avx instructions e.g. Xeon v2, Core i7/i5/i3 3xxx, Pentium G2xxx, Celeron G1xxx

  •                - amd_avx: supports AMD cpus with avx instructions e.g. AMD Ryzen 1xxx and 2xxx series
  • affine_to_cpu - This can be either false (no affinity), or the CPU core number. Note that on hyperthreading
  •              systems it is better to assign threads to physical cores. On Windows this usually means selecting

  •              even or odd numbered cpu numbers. For Linux it will be usually the lower CPU numbers, so for a 4

  •              physical core CPU you should select cpu numbers 0-3.
  • 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:
  • “cpu_threads_conf” :
  • [
  •  { "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 0 },

  •  { "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 1 },
  • ],
  • If you do not wish to mine with your CPU(s) then use:
  • “cpu_threads_conf” :
  • null,
    */

“cpu_threads_conf” :
[
{ “low_power_mode” : false, “no_prefetch” : true, “asm” : “auto”, “affine_to_cpu” : 0 },
{ “low_power_mode” : false, “no_prefetch” : true, “asm” : “auto”, “affine_to_cpu” : 1 },

],

Kernel
Kernel.jpeg1400×273 32.7 KB

#65

как узнать кто сыпет реджекты?

indeed3
indeed3.jpeg1203×862 174 KB

#66

В окне майнера r нажать.
Там вроде пишет причину реджектов.

#67

my hiveos says xmr-stak exited,waiting to cooldown a bit

file is empty or too short - config.txt

has anyone has same problem as me?

im on 0.5-79

#68

напиши мне в telegram: @helpBiosEditor помогу всё настроить.

#69

@barry8212 - is this latest post working? I am struggling too :frowning:

#70

What overclocking settings are you using?

#71

Nope i am still not mining XMR

#72

how is the config? i use single thread works fine but double threan doesn’t work

#73

Hi guys

Could someone that allready mine Monero after the fork, please post screenshoots of how to set this up, i still can`t mine Monero :frowning:

For those who knows how to do this, please help…

Jan-Erik, Norway

#74

what is you GPU? i can mine both in 580 570 550, but best performanace still in 570 580

#75

Привет всем! Пробую на XMR-Stack 2.5 fireice-uk запустить криптонайт-хэвен под хайв на картах 1063 с параметрами:

“threads” : 21, “blocks” : 36,
“bfactor” : 0, “bsleep” : 0,
“affine_to_cpu” : false, “sync_mode” : 3, “mem_mode” : 1,

майнер ругается Error: out of memory
как так? 21 * 36 * 2 = 1512 мб это половина от набортной памяти!!! Кто какие параметры наилучшие подобрал для 1063 для CN Heavy / Heaven???

#76

Hello,

Please find my configuration here.

RX580 8G

{ “index” : 0,
“intensity” : 1152, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true

RX 570 4G
{ “index” : 1,
“intensity” : 1000, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},

HiveXMRv8-1
HiveXMRv8-1.png680×808 25.9 KB

HiveXMRv8
HiveXMRv8.png1248×226 21.7 KB

Comparing to Claymore-X Hashrate is 100H less per GPU.

Full configuration RIG 1 RX580 8G + 7 RX570 4G

“gpu_threads_conf” : [
// gpu: Ellesmere memory:3920
// compute units: 36
{ “index” : 0,
“intensity” : 1152, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
{ “index” : 0,
“intensity” : 1152, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
// gpu: Ellesmere memory:3706
// compute units: 32
{ “index” : 1,
“intensity” : 1000, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
{ “index” : 1,
“intensity” : 1000, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
// gpu: Ellesmere memory:3706
// compute units: 32
{ “index” : 2,
“intensity” : 1000, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
{ “index” : 2,
“intensity” : 1000, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
// gpu: Ellesmere memory:3706
// compute units: 32
{ “index” : 3,
“intensity” : 1000, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
{ “index” : 3,
“intensity” : 1000, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
// gpu: Ellesmere memory:3706
// compute units: 32
{ “index” : 4,
“intensity” : 1000, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
{ “index” : 4,
“intensity” : 1000, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
// gpu: Ellesmere memory:3706
// compute units: 32
{ “index” : 5,
“intensity” : 1000, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
{ “index” : 5,
“intensity” : 1000, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
// gpu: Ellesmere memory:3706
// compute units: 32
{ “index” : 6,
“intensity” : 1000, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
{ “index” : 6,
“intensity” : 1000, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
// gpu: Ellesmere memory:3706
// compute units: 32
{ “index” : 7,
“intensity” : 1000, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
{ “index” : 7,
“intensity” : 1000, “worksize” : 8,
“affine_to_cpu” : false, “strided_index” : 2, “mem_chunk” : 2,
“unroll” : 8, “comp_mode” : true
},
],

/*

  • Platform index. This will be 0 unless you have different OpenCL platform - eg. AMD and Intel.
    */
    “platform_index” : 0,
#77

you have to divide you max single thread intensity by 2(if you have 4G cards). and then try to tune it

#78

I Have Zotac GTX 1060 3Gb 3072MB on HIVE
XMR Stak 2.5 fireice , ALGO: CN Haven
I’l try use this parameters:

“threads” : 21, “blocks” : 36,
“bfactor” : 0, “bsleep” : 0,
“affine_to_cpu” : false, “sync_mode” : 3, “mem_mode” : 1,

and i’l trying

“threads” : 32, “blocks” : 36,
“bfactor” : 8, “bsleep” : 100,
“affine_to_cpu” : false, “sync_mode” : 3, “mem_mode” : 1,

BUT miner not working

#79

Hello everyone. Does not the monero settings in the nanopoint go for me? I can not. Can somebody help me?

#80

надо минимум 4gb памяти, накриптохэви

#81

Как настроить rx 550 2gb на новый алгоритм?