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working with RandomXL yet? #290

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pdarcos opened this issue Jul 29, 2019 · 6 comments
Open

working with RandomXL yet? #290

pdarcos opened this issue Jul 29, 2019 · 6 comments

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@pdarcos
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pdarcos commented Jul 29, 2019

Hi,

I'm using xmrig with RandomXL (loki) and it's working fine. Much appreciated.

Any plans on updating xmrig-nvidia to also work with RandomXL?

Cheers

@pdarcos
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pdarcos commented Aug 2, 2019

Guess not

@xmrig
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xmrig commented Aug 2, 2019

Both RandomXL and RandomWOW supported in dev branch, binaries for recent code https://download.xmrig.com/xmrig-nvidia/2.14.5-dev/5e8710a21f8252759ab2452a49c68df36654a174/

  1. I working on xmrig3 so have no time to make release for this.
  2. Auto-configuration provide wrong threads number, you must reduce it.

@pdarcos
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pdarcos commented Aug 2, 2019

Thanks @xmrig !

I'll go ahead and compile it from scratch to test it out.
Any idea on what the right number of threads should be?

Your work is much appreciated. Thanks!

@xmrig
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xmrig commented Aug 2, 2019

Reduce it until error <random_prepare>:37 "out of memory" disappear. RandomX require 2080 MB for dataset per GPU, on 4GB GPUs only less than half memory remaining for mining.
Thank you.

@xmrig xmrig pinned this issue Aug 7, 2019
@shehi
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shehi commented Dec 2, 2019

Any timeframe for v3? XMR switched to RandomX and after compiling dev branch, I get this no matter how low or hi I put threads:

./xmrig-nvidia 
 * ABOUT        XMRig-NVIDIA/2.14.5-dev gcc/7.4.0
 * LIBS         libuv/1.18.0 CUDA/10.10 OpenSSL/1.1.1 microhttpd/0.9.59 
 * CPU          Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz x64 -AES
 * GPU #0       PCI:0000:01:00 GeForce GTX 1060 6GB @ 1708/4004 MHz 128x30 0x0 arch:61 SMX:10 MEM:5011/6075 MiB
 * ALGO         randomx/0, donate=1%
 * POOL #1      xmr-eu1.nanopool.org:14444 variant rx/0
 * POOL #2      xmr-eu2.nanopool.org:14444 variant rx/0
 * COMMANDS     hashrate, health, pause, resume
[2019-12-02 11:18:17] use pool xmr-eu1.nanopool.org:14444  51.15.69.136 
[2019-12-02 11:18:17] new job from xmr-eu1.nanopool.org:14444 diff 480045 algo rx/0 height 1979904
[2019-12-02 11:18:17] Started updating RandomX dataset (12 threads)
Segmentation fault (core dumped)

My config json:

{
    "algo": "randomx/0",
    "api": {
        "port": 0,
        "access-token": null,
        "id": null,
        "worker-id": null,
        "ipv6": false,
        "restricted": true
    },
    "background": false,
    "colors": true,
    "cuda-bfactor": 4,
    "cuda-bsleep": 0,
    "cuda-max-threads": 0,
    "donate-level": 1,
    "log-file": "log.txt",
    "pools": [
        {
            "url": "xmr-eu1.nanopool.org:14444",
            "user": "",
            "pass": "",
            "rig-id": null,
            "nicehash": false,
            "keepalive": false,
            "variant": -1,
            "enabled": true,
            "tls": false,
            "tls-fingerprint": null
        },
        {
            "url": "xmr-eu2.nanopool.org:14444",
            "user": "",
            "pass": "",
            "rig-id": null,
            "nicehash": false,
            "keepalive": false,
            "variant": -1,
            "enabled": true,
            "tls": false,
            "tls-fingerprint": null
        }
    ],
    "print-time": 60,
    "retries": 5,
    "retry-pause": 5,
    "threads": [
        {
            "index": 0,
            "threads": 128,
            "blocks": 30,
            "bfactor": 0,
            "bsleep": 0,
            "sync_mode": 3,
            "affine_to_cpu": false
        }
    ],
    "user-agent": null,
    "syslog": false,
    "watch": true
}

@xmrig
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xmrig commented Dec 2, 2019

CUDA now part of unified miner https://github.com/xmrig/xmrig
Thank you.

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