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Message-ID: <CAA6tFMvbgM3Ub0dJv56DTnQoZvFzyK2y2+73Qf_B+x_YsLxxZw@mail.gmail.com> Date: Fri, 2 Mar 2018 22:57:09 +0100 From: Piotr Dobrogost <2018@...obrogost.net> To: john-users@...ts.openwall.com Subject: Re: Getting full performance out of multiple GPU's On Tue, Feb 27, 2018 at 10:59 PM, Adam Lininger <arlininger@...il.com> wrote: > > Alexander, > > Thank you for the help. I believe I am properly using a GPU and the actual > hashing is being done there. The nvidia-smi command seems to agree. Based What gpu and memory utilization does nvidia-smi show in your case? Below are some exemplary values of utilization when running --format=gpg-opencl on 8 gpus: utilization.gpu [%], utilization.memory [%] 13 %, 6 % 11 %, 4 % 13 %, 6 % 10 %, 4 % 75 %, 48 % 7 %, 3 % 13 %, 6 % 7 %, 3 % utilization.gpu [%], utilization.memory [%] 7 %, 3 % 13 %, 6 % 7 %, 3 % 7 %, 3 % 0 %, 0 % 7 %, 3 % 7 %, 3 % 7 %, 3 % utilization.gpu [%], utilization.memory [%] 7 %, 3 % 13 %, 6 % 13 %, 6 % 10 %, 4 % 0 %, 0 % 13 %, 6 % 13 %, 6 % 13 %, 6 % utilization.gpu [%], utilization.memory [%] 13 %, 6 % 13 %, 6 % 7 %, 3 % 12 %, 5 % 47 %, 39 % 11 %, 6 % 13 %, 6 % 7 %, 3 % These are rather low figures… Any idea why are they so low? For comparison mining with https://github.com/ethereum-mining/ethminer/ results in both gpu and memory continuously utilized in 100%. Regards, Piotr
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