我的技术规格是双英特尔金色6140 (36核2.3 and )96 is内存,2个800 is固态硬盘(raid)和2个nvidia v100 32 is显卡。(我无法访问bios以超频)
我想知道获得最多散列的最佳配置和设置是什么?目前我得到了3000-4000小时/秒,这是gpu和cpu的总和。我允许较大的页面,并将页面大小增加到64 or (不确定这是否必要),我还安装了最新的cuda。
这是我的cpu配置,我不确定是否获得了线程的最大数量,而且我得到了一些错误,它不能转到86只有63,不确定它是什么意思。
"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" : 2 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 4 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 6 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 8 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 10 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 12 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 14 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 16 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 18 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 20 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 22 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 24 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 26 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 28 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 30 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 64 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 66 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 68 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 70 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 72 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 74 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 76 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 78 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 80 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 82 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 84 },
{ "low_power_mode" : false, "no_prefetch" : true, "asm" : "auto", "affine_to_cpu" : 86 },
],这是我的gpu配置(默认)
"gpu_threads_conf" :
[
// gpu: Tesla V100-PCIE-32GB architecture: 70
// memory: 32127/32642 MiB
// smx: 80
{ "index" : 0,
"threads" : 4, "blocks" : 640,
"bfactor" : 6, "bsleep" : 25,
"affine_to_cpu" : true, "sync_mode" : 1,
"mem_mode" : 1,
},
// gpu: Tesla V100-PCIE-32GB architecture: 70
// memory: 32127/32642 MiB
// smx: 80
{ "index" : 1,
"threads" : 4, "blocks" : 640,
"bfactor" : 6, "bsleep" : 25,
"affine_to_cpu" : true, "sync_mode" : 1,
"mem_mode" : 1,
},
],发布于 2019-11-10 04:48:16
我相信正确的选择应该是测试一下当你稍微改变你的规格时,你的钻机能做多少挖掘,然后试着将它与你的CPU和GPU累积的能源成本/伤害进行比较,并根据这一点决定什么是最好的设置。我相信使用偶数编号的值很可能会得到最好的结果,并且确保每个线程至少有足够的缓存来保存散列似乎是很直观的。还要检查以确保您的卡不需要虚拟视频输出或短视频输出,以便以最大容量运行。我见过的一些矿工需要黑客的视频短片来获得最大的性能。

https://stackoverflow.com/questions/58514566
复制相似问题