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40 lines
2.3 KiB
Django/Jinja
40 lines
2.3 KiB
Django/Jinja
// generated by xmr-stak/2.6.0/8713716/master/lin/cpu/20
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/*
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* Thread configuration for each thread. Make sure it matches the number above.
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* low_power_mode - This can either be a boolean (true or false), or a number between 1 to 5. When set to true,
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* this mode will double the cache usage, and double the single thread performance. It will
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* consume much less power (as less cores are working), but will max out at around 80-85% of
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* the maximum performance. When set to a number N greater than 1, this mode will increase the
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* cache usage and single thread performance by N times.
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*
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* no_prefetch - Some systems can gain up to extra 5% here, but sometimes it will have no difference or make
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* things slower.
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*
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* asm - Allow to switch to a assembler version of cryptonight_v8; allowed value [auto, off, intel_avx, amd_avx]
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* - auto: xmr-stak will automatically detect the asm type (default)
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* - off: disable the usage of optimized assembler
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* - intel_avx: supports Intel cpus with avx instructions e.g. Xeon v2, Core i7/i5/i3 3xxx, Pentium G2xxx, Celeron G1xxx
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* - amd_avx: supports AMD cpus with avx instructions e.g. AMD Ryzen 1xxx and 2xxx series
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*
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* affine_to_cpu - This can be either false (no affinity), or the CPU core number. Note that on hyperthreading
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* systems it is better to assign threads to physical cores. On Windows this usually means selecting
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* even or odd numbered cpu numbers. For Linux it will be usually the lower CPU numbers, so for a 4
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* physical core CPU you should select cpu numbers 0-3.
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*
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* On the first run the miner will look at your system and suggest a basic configuration that will work,
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* you can try to tweak it from there to get the best performance.
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*
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* A filled out configuration should look like this:
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* "cpu_threads_conf" :
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* [
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* { "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 0 },
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* { "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 1 },
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* ],
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* If you do not wish to mine with your CPU(s) then use:
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* "cpu_threads_conf" :
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* null,
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*/
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{{ cpu_config }}
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