Что такое xmrig cuda dll
XMRig CPU Miner — как удалить вирус
Если вы обнаружили, что комп стал работать медленно, появляются ошибки или вездесущая реклама — самое время изучить активные процессы, чтобы выявить, какой из них вызывает нагрузку. В последнее время, одним из них может быть XMRig CPU Miner – как удалить его, и нужно ли это делать, мы рассмотрим далее.
Что это за программа?
XMRig CPU Miner – мультиплатформенный и высокопроизводительный майнер (добывающий алгоритм), созданный для облегчения майнинга. Это официальный софт, работающий с криптовалютой Монеро. Основные достоинства утилиты:
Майнер XMRig CPU miner сильно нагружает систему
Помимо этого существует скрытый вирусный майнер, именуемый так же. В отличие от полезной для майнинга утилиты, это вредносное ПО внедряется в различные приложения, автозагрузку и реестр. Если троян пустит корни в Windows — удалить его будет проблематично. Стирание части файлов и настроек не избавит от него – после первого же перезапуска системы программа проверит свои файлы и закачает их заново.
Чем опасны скрытые майнеры
Вирусный XMRig внедряется в доверенные процессы, система защиты и антивирусы не помешают сделать это. Скрытые майнеры работают на сайтах или же непосредственно на ПК. Потребляя ресурсы пользователя, злоумышленник конвертирует их в реальные деньги при помощи криптовалют. При этом нагрузка на комплектующие может быть чрезмерная, что приведет к быстрому выходу из строя процессора, оперативной памяти и видеокарты.
Скрытые майнеры могут быть встроены на сайтах
Если этот скрытый майнер попал на комп неопытного пользователя, то единственный способ избавления от его работы – переустановка операционки.
Как удалить XMRig CPU Miner
Сделать это будет очень непросто – потребуется комплексный подход к делу. Что нужно делать на первом этапе? Попробовать удалить вирус и его изменения автоматически. Делается это при помощи антивирусных утилит. Их достаточно много, а алгоритмы работы у всех свои. Это означает, что нужно будет попробовать несколько из ни поочередно. Скачивать такой софт нужно с оф сайта – он бесплатный.
Популярные антивирусные сканеры:
Программа AdwCleaner хорошо ищет скрытые загрузчики
После лечения или удаления поврежденных элементов, необходимо сделать следующее:
Удаление вручную
Если этих манипуляций окажется недостаточно, то придется чистить комп вручную или переустанавливать систему. Второй этап:
Если и это не помогло, то нужно восстанавливать систему или пользоваться откатом до удачной конфигурации. Если какие-то файлы вирусного ПО не удаляются, то зайдите через Безопасный режим. Таким же образом можно провести восстановление, если во время удаления были стерты важные системные файлы. К сожалению, сторонние программы для удаления XMRig, типа Unlocker, не всегда срабатывают, так как сам зловред имеет превентивную защиту.
Лишь в крайнем случае потребуется переустановка Виндоус. С другой стороны, перебить Винду может быть быстрее, чем удалять вирус. Решать вам.
XMRigCUDA miner, Trojan.Agent Вирусня замучала
Вложения
 | CollectionLog-2019.04.30-10.38.zip (76.8 Кб, 5 просмотров) |
HEUR:Trojan.Win32.Generic, Trojan-Downloader.Win32.Agent.silkhl
Поставил Kaspersky Free и он начал ругаться на вирусы. При чем лечил и удалял, но потом снова они.
KES 10 обнаружил троянскую программу HEUR:Trojan.Win32.Miner.gen
Пытался бороться я с этой заразой сначала KES’ом, он предлагал лечение с перезагрузкой, стоило.
Как победить вирус Trojan.MSIL.Agent dzyr подскажите пожалуста
Занимался диагностикой автор. Комп оставался подключенным к интернету. Открыл прогу диагностики.
Неведомая вирусня или не вирусня
Пару дней назад. Коллега начудил и на компе поселился вирус(. ). при подключении флэш-накопителя.
Решение
А что вы хотели: руткиты они такие))
После перезагрузки, выполните такой скрипт:
Подготовьте логи TDSSKiller
(лог будет создан в корне системного диска)
Соберите новые логи Autologger
Вложения
| CollectionLog-2019.04.30-17.50.zip (71.9 Кб, 1 просмотров) |
Вложения
 | TDSSKiller.3.1.0.28_30.04.2019_18.10.12_log.7z (44.8 Кб, 3 просмотров) |
Вложения
| FRST & Addition.7z (15.1 Кб, 1 просмотров) |
Отключите до перезагрузки антивирус.
Выделите следующий код:
Вложения
 | Fixlog.txt (15.9 Кб, 1 просмотров) |
Отключите до перезагрузки антивирус.
Выделите следующий код:
Вложения
| Fixlog.txt (3.7 Кб, 1 просмотров) |
| MBAM log.txt (11.7 Кб, 2 просмотров) |
Сообщите, что с проблемой
Вложения
| MBAM log.txt (5.4 Кб, 1 просмотров) |
| CollectionLog-2019.04.30-20.16.zip (74.5 Кб, 1 просмотров) |
MBAM так и будет находить эти угрозы до тех пор пока вы не отключите синхронизацию расширений:
Нажмите на кнопку Настройка и управление Google Chrome
Выберите пункт меню Настройки
В разделе настроек Пользователи выберите пункт Синхронизация сервисов Google
Выберите пункт Настройки синхронизации
Переведите переключатель Синхронизировать все в состояние ВЫКЛ, а затем переключатель Расширения также в состояние ВЫКЛ
Теперь синхронизация расширений отключена. Следует помнить, что вредоносные приложения могут вносить изменения также в Приложения и Настройки Google Chrome, синхронизацию которых можно отключить на этой же странице браузера.
Вложения
| SecurityCheck.txt (9.1 Кб, 1 просмотров) |
— это остатки нашего майнера)) Удалите с помощью GeekUninstaller
По остальному, обновляйте, исправляйте:
Internet Explorer 11.2848.14393.0 Внимание! Скачать обновления
7-Zip 16.04 (x64) v.16.04 Внимание! Скачать обновления
^Удалите старую версию, скачайте и установите новую.^
QuickTime 7 v.7.79.80.95 Данная программа больше не поддерживается разработчиком и имеет известные проблемы безопасности! Рекомендуется деинсталлировать данное ПО.
ph v.1.0.0 Данная программа больше не поддерживается разработчиком. Рекомендуется деинсталлировать ее.
bl v.1.0.0 Данная программа больше не поддерживается разработчиком. Рекомендуется деинсталлировать ее.
xmrig / xmrig-cuda Go PK Goto Github PK
NVIDIA CUDA plugin for XMRig miner
License: GNU General Public License v3.0
xmrig-cuda’s Introduction
This repository is NVIDIA CUDA plugin for XMRig miner v4.5+ and it adds support for NVIDIA GPUs in XMRig miner.
Main reasons why this plugin is separated project is:
Path to plugin can be specified via loader option:
xmrig-cuda’s People
Contributors
Stargazers
Watchers
Forkers
xmrig-cuda’s Issues
more documentation
we need more documentation because I’m little lost, how can i use the CUDA version for example, i need extract on normal project? i was looking for a readme explaining something but didn’t find.
xmrig 5.1.1 cuda plugin 2.1.1.
If i run xmrig i get 1500h/s, when i add the GPU by the cuda plugin(2.1.1) my CPU hash rate drops by what the NV(GPU) hash rate is able to produce.
Example if GPU produces 200h/s my CPU drops to 1300h/s.
astrobwt doesn’t work with Fermi
Tested on Windows and Linux, CUDA 8 seems like it may be doing something wrong. Windows seems to fail without much reason why, while Linux throws a floating-point exception error.
Or, is Fermi capable of this algorithm?
comparison of gpu vs cpu hashrates
The results of Cuda were no where near the numbers my CPU can produce. Any idea how to improve it? Would fixing NVML help?
could you please add linux binaries for cuda 10 and cuda 11?
Would make everyone’s life easier, including yourself (less requests for help with building or building errors)
failed to load libxmrig_cuda.so on Linux
* CUDA disabled (failed to load CUDA plugin)
«cuda»: <
«enabled»: true,
«loader»: «libxmrig-cuda.so»,
«nvml»: true
>,
Segmentation Errors on Running
Ubuntu 20.04
RTX 2080
Ryzen 2700x
No errors on MAKE or CMAKE
I attached the debug from the MAKE process.
Looking for some guidance, let me know if there is anything else you need.
Rig is not finding plugin
I have tried several versions and several locations on the computer. XMrig does not seem to be able to see the plug in.
Error when compiling Cuda plugin
I have come across the error while compiling. Any assistance is appreciated.
/usr/include/c++/8/type_traits(1049): error: type name is not allowed
/usr/include/c++/8/type_traits(1049): error: identifier «__is_assignable» is undefined
/usr/include/c++/8/type_traits(1049): error: type name is not allowed
/usr/include/c++/8/type_traits(1049): error: type name is not allowed
/usr/include/c++/8/type_traits(1049): error: identifier «__is_assignable» is undefined
/usr/include/c++/8/type_traits(1049): error: type name is not allowed
/usr/include/c++/8/type_traits(1049): error: type name is not allowed
/usr/include/c++/8/type_traits(1049): error: identifier «__is_assignable» is undefine
Enable more cuda cores
How to enable more cuda cores in xmrig miner
Trouble compiling on Manjaro Linux.
I haven’t used make/cmake much before so it might be me misunderstanding something.
Rejected shares after dev pool mining
Using xmrig 5.5.0, I always get rejected share after xmrig switches from dev pool to user pool. Error message from user pool suggests there is problem with thread synchronization as share gets sent to user pool before login message.
Having trouble compiling the plugin for linux
OS: Manjaro Linux x86_64
Host: MS-7A34 2.0
Kernel: 5.7.9-1-MANJARO
CPU: AMD Ryzen 7 3700X (16) @ 3.600GHz
GPU: NVIDIA GeForce GTX 1050 Ti
Memory: 5466MiB / 16026MiB
(Relevant info from neofetch)
I am having some issues trying to compile the plugin to get cuda to work, I have successfully done cmake without any issues but when it comes to make I get this
https://hastebin.com/zewiyazuto.m (I thought the output was a bit too long to put in a code block so I just decided to put it in hastebin, if you wish to have me put it in a code block in github I would be more than happy to do so)
If anyone can help me that would be much appreciated!
Compile issue on CentOS 6
Hi.
I noticed a compile issue on CentOS 6 with GCC 6.3.1 and would like to share the details including a solution/workaround.
First, gcc doesn’t know about some options, so I need to replace them in the file cmake/flags.cmake :
Replace std=c++11 by std=c++0x
Replace Ofast by O2
The error message during make is:
To fix this, I added an include statement in line 29 of file src/crypto/common/Algorithm.h
That way, make completes without errors and produces a working libxmrig-cuda.so
nvidia plugin CUDA8 works maximum with 16 threads
Cuda 8 version is works for me? but only with 16 threads max.
I have several GPU 640M, 720M, 740M, 800M, 920M. with Fermi, as i think
It`s works only with CUDA 8. I use 5.0.1 xmrig with cuda 8 plugin.
When i set more than 16 thread (24, 32, 48, 64) app will crash with:
thread #0 failed with error :752 «an illegal memory access was encountered»
p.s. log
[2019-11-28 23:13:08.170] Huge pages support was successfully enabled, but reboot required to use it
Watchdog Config Change VS Config First Run AND bfactor/bsleep broken
Hello, so a few things.
the bfactor nor bsleep seem to get set, how are we supposed to set these now?
Also with «watch»: true
while running if i try to change cuda-bfactor it will change to disabled (no suitable configuration found)
even if I start it with «cuda-bfactor»: 12 change to «cuda-bfactor»: 10 then change back to «cuda-bfactor»: 12 after the first change it says invalid even though the last change was the value it started fine with in the beginning.
error :751 «invalid resource handle»
I am trying to use an old NVIDIA Tesla C2075 with this plugin.
It used to work with the xmrig-nvidia, but now it doesn’t work.
But according to: «Fixed compatibility with CUDA 8, RandomX support not tested and potentially broken with this CUDA version.», I guess it won’t be supported anyway with the change of POW, so it isn’t worth to keep trying to use it, right?
Thank you for your effort in the development of this great tool!
I have Debian 10, with nvidia driver and libs.
And typical gcc 7 & 8
CMake Error at xmrig-cu_generated_randomx_monero.cu.o.Release.cmake:219 (message): Error generating /usr/local/src/xmrig-cuda/build/CMakeFiles/xmrig-cu.dir/src/RandomX/monero/./xmrig-cu_generated_randomx_monero.cu.o make[2]: *** [CMakeFiles/xmrig-cu.dir/build.make:103: CMakeFiles/xmrig-cu.dir/src/RandomX/monero/xmrig-cu_generated_randomx_monero.cu.o] Error 1 make[2]: *** Waiting for unfinished jobs. CMake Error at xmrig-cu_generated_randomx_arqma.cu.o.Release.cmake:219 (message): Error generating /usr/local/src/xmrig-cuda/build/CMakeFiles/xmrig-cu.dir/src/RandomX/arqma/./xmrig-cu_generated_randomx_arqma.cu.o CMake Error at xmrig-cu_generated_KawPow.cu.o.Release.cmake:219 (message): Error generating /usr/local/src/xmrig-cuda/build/CMakeFiles/xmrig-cu.dir/src/KawPow/raven/./xmrig-cu_generated_KawPow.cu.o make[2]: *** [CMakeFiles/xmrig-cu.dir/build.make:82: CMakeFiles/xmrig-cu.dir/src/RandomX/arqma/xmrig-cu_generated_randomx_arqma.cu.o] Error 1 make[2]: *** [CMakeFiles/xmrig-cu.dir/build.make:131: CMakeFiles/xmrig-cu.dir/src/KawPow/raven/xmrig-cu_generated_KawPow.cu.o] Error 1 CMake Error at xmrig-cu_generated_randomx_keva.cu.o.Release.cmake:219 (message): Error generating /usr/local/src/xmrig-cuda/build/CMakeFiles/xmrig-cu.dir/src/RandomX/keva/./xmrig-cu_generated_randomx_keva.cu.o CMake Error at xmrig-cu_generated_cuda_core.cu.o.Release.cmake:219 (message): Error generating /usr/local/src/xmrig-cuda/build/CMakeFiles/xmrig-cu.dir/src/./xmrig-cu_generated_cuda_core.cu.o CMake Error at xmrig-cu_generated_randomx.cu.o.Release.cmake:219 (message): Error generating /usr/local/src/xmrig-cuda/build/CMakeFiles/xmrig-cu.dir/src/RandomX/./xmrig-cu_generated_randomx.cu.o make[2]: *** [CMakeFiles/xmrig-cu.dir/build.make:89: CMakeFiles/xmrig-cu.dir/src/RandomX/keva/xmrig-cu_generated_randomx_keva.cu.o] Error 1 make[2]: *** [CMakeFiles/xmrig-cu.dir/build.make:110: CMakeFiles/xmrig-cu.dir/src/RandomX/xmrig-cu_generated_randomx.cu.o] Error 1 make[2]: *** [CMakeFiles/xmrig-cu.dir/build.make:68: CMakeFiles/xmrig-cu.dir/src/xmrig-cu_generated_cuda_core.cu.o] Error 1 CMake Error at xmrig-cu_generated_randomx_loki.cu.o.Release.cmake:219 (message): Error generating /usr/local/src/xmrig-cuda/build/CMakeFiles/xmrig-cu.dir/src/RandomX/loki/./xmrig-cu_generated_randomx_loki.cu.o make[2]: *** [CMakeFiles/xmrig-cu.dir/build.make:96: CMakeFiles/xmrig-cu.dir/src/RandomX/loki/xmrig-cu_generated_randomx_loki.cu.o] Error 1 CMake Error at xmrig-cu_generated_cuda_extra.cu.o.Release.cmake:219 (message): Error generating /usr/local/src/xmrig-cuda/build/CMakeFiles/xmrig-cu.dir/src/./xmrig-cu_generated_cuda_extra.cu.o make[2]: *** [CMakeFiles/xmrig-cu.dir/build.make:75: CMakeFiles/xmrig-cu.dir/src/xmrig-cu_generated_cuda_extra.cu.o] Error 1 make[2]: Leaving directory ‘/usr/local/src/xmrig-cuda/build’ make[1]: *** [CMakeFiles/Makefile2:75: CMakeFiles/xmrig-cu.dir/all] Error 2 make[1]: Leaving directory ‘/usr/local/src/xmrig-cuda/build’ make: *** [Makefile:87: all] Error 2″>
Crashes after this error.
nvidia thread #1 failed with error :36 «invalid argument»
[2021-03-19 13:23:02.861] nvidia thread #0 failed with error :36 «invalid argument»
I can see in nvidia-smi that the xmrig process stops using memory on my card, the program doesn’t recover.
libuv/1.18.0
OpenSSL/1.1.1
hwloc/1
GeForce GTX 1050
GeForce GT 710
testing Monero with older cards.
I have installed CUDA 8.0 and updated to:
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2016 NVIDIA Corporation
Built on Tue_Jan_10_13:22:03_CST_2017
Cuda compilation tools, release 8.0, V8.0.61
OS: Ubuntu 16.04
CUDA 7.5/9.0/2.0.1-beta
[2019-11-24 16:21:11.644] cpu use profile cn (2 threads) scratchpad 2048 KB
[2019-11-24 16:21:11.644] nv use profile cn/2 (1 thread) scratchpad 2048 KB
| # | GPU | BUS ID | I | T | B | BF | BS | MEM | NAME
| 0 | 0 | 01:00.0 | 32 | 4 | 8 | 0 | 0 | 64 | GeForce GT 610
[2019-11-24 16:21:12.249] nv READY threads 1/1 (605 ms)
./xmrig: symbol lookup error: libxmrig-cuda.so: undefined symbol: nvrtcAddNameExpression
When compiling XMRIG-CUDA I noticed:
collect2: error: ld returned 1 exit status
CMakeFiles/cmTC_4cb0c.dir/build.make:97: recipe for target ‘cmTC_4cb0c’ failed
make[1]: *** [cmTC_4cb0c] Error 1
make[1]: Leaving directory ‘/home/dc2/xmrig-cuda/build/CMakeFiles/CMakeTmp’
Makefile:126: recipe for target ‘cmTC_4cb0c/fast’ failed
make: *** [cmTC_4cb0c/fast] Error 2
File /home/dc2/xmrig-cuda/build/CMakeFiles/CMakeTmp/CheckSymbolExists.c:
/* */
#include
int main(int argc, char** argv)
<
(void)argv;
#ifndef pthread_create
return ((int*)(&pthread_create))[argc];
#else
(void)argc;
return 0;
#endif
>
I have been working on this for a few days trying to get the GPU to work, please help.
CUDA disabled (no devices)
Hello,
My machine is a bit old.
GPU: nVidia GEFORCE GT540M
OS: Windows 7 X64
CUDA and GPU driver are updated.
It seems that CUDA is not detected.
Thank you!
Cuda Plugin Built But Not Working
I am using ubuntu 18.04. I successfully built the plugin but it creates a file named libxmrig-cu.a and not libxmrig-cuda.so.
:53 «operation not supported»
I try to mine on a NVIDIA Jetson Nano. I have build the xmrgi-cuda and xmrig from source. There were no problems.
NVML should be installed (ubuntu package cuda-nvml-dev-10-2) so i dont know why it has problems loading it.
The problem is that the mining thread stops with thread #0 failed with error :53 «operation not supported» and then does nothing.
The latest «Cuda 8.0»-plugin not working with «argon2id/chukwa»-algo
The latest «Cuda 8.0»-plugin not working with «argon2id/chukwa»-algo.
nv disabled (no suitable configuration found)
Build failing on ubuntu 16.04 (docker)
I’m trying to build this plugin in a docker container but having trouble getting the cmake and the build going. I’m just running the container interactively at the moment to try and diagnose the issue.
Presumably i’m missing a dependency? Hoping someone can spot what’s wrong because it seems like cmake should detect CUDA_LIB on its own, and make should not be failing on the compiler standard.
command output logs
OS- windows7 service pack 1 x64
When using config.json w/ «loader»: «C:/cuda», the CUDA.dll loads and the miner functions correctly.
Please let me know the proper syntax to make the CUDA.dll load with command line parameters.
Thanks
I have on this file: 
Driver Nvidia: 390.77
Cuda installed: 9.0
Grafic cards: 2x nVIDIA GT 730
Do you need more information?
If not, can someone help me solve this problem?
Illegal Memory Access
After a few minutes of running the cuda mining stops after the error
thread #0 failed with error :59 «an illegal memory access was encountered»
Output from the console here. Let me know if there is any more information I can provide.
Build Error on Linux
Hello, I am a newbie to XMRig and Clang. I was building the CUDA plugin for Linux. During the make procedure, I got a log as follows,
And the make just stuck at 23% for more than 10 minutes. I am not sure if it is a normal situation, if not, can anyone give me a possible solution?
I am really a newbie to Clang and the building process, know quite little about it. I tried to search the pointless comparison of unsigned integer with zero on Google, but it seems that this problem has different solutions for different projects.
CUDA Plugin not working
/home/miner/xmrig-cuda/src/RandomX/randomx_cuda.hpp(319): warning: pointless comparison of unsigned integer with zero
/home/miner/xmrig-cuda/src/RandomX/randomx_cuda.hpp(319): warning: pointless comparison of unsigned integer with zero
/home/miner/xmrig-cuda/src/RandomX/randomx_cuda.hpp(319): warning: pointless comparison of unsigned integer with zero
/home/miner/xmrig-cuda/src/RandomX/randomx_cuda.hpp(319): warning: pointless comparison of unsigned integer with zero
/home/miner/xmrig-cuda/src/cuda_extra.cu: In function ‘int cuda_get_deviceinfo(nvid_ctx*)’:
/home/miner/xmrig-cuda/src/cuda_extra.cu:586:26: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
if (ctx->device_blocks > max_blocks) <
At global scope:
cc1plus: warning: unrecognized command line option ‘-Wno-class-memaccess’
Scanning dependencies of target xmrig-cu
[ 66%] Linking CXX static library libxmrig-cu.a
[ 66%] Built target xmrig-cu
Scanning dependencies of target xmrig-cuda
[ 75%] Building C object CMakeFiles/xmrig-cuda.dir/src/crypto/cn/c_blake256.c.o
[ 83%] Building CXX object CMakeFiles/xmrig-cuda.dir/src/CudaCryptonightR_gen.cpp.o
[ 91%] Building CXX object CMakeFiles/xmrig-cuda.dir/src/xmrig-cuda.cpp.o
[100%] Linking CXX shared library libxmrig-cuda.so
[100%] Built target xmrig-cuda
Now I move the 2 files and run xmrig but xmrig says:
Can anyone help me get the CUDA Plugin to work on this?
compile problem under ubuntu16
Hi.
I have ubuntu 16.04
gcc packages installed: gcc, gcc-5, gcc-5-base, gcc-6-base
cuda installed 10.0
If I do the same under ubuntu18 with installed gcc, gcc-7, gcc-7-base, gcc-8-base,
than compile successfully, but such binary wont run under ubuntu 16 because no sufficient glibc version:
with older versions xmrig-nvidia package there was no problem with compiling like this on ubuntu16
CUDA Hashrate not being reported
Old hardware and software:
Compiled libxmrig-cuda.so via
Everything went well. Moved libxmrig-cuda.so to a different directory, then enabled cuda in my xmrig config and pointed to the loader.
Starting xmrig shows no errors.
Typing h to pull up the hashing report shows the CPU hashing as expected, but gives n/a for my CUDA card.
Can you compile this for cuda 8?
Hello. I do not see version for cuda 8. Can you compile this for cuda 8?
GPU #0 COMPUTE ERROR
winodws 10 error about “GPU #0”
and this is my configuration
Driver is NIVIDA Studio Driver v451.77
what can I do?
Build Issue (Linux)
Hey all, if you need additional help testing, let me know.
While building on linux you get this error when trying to run the make command.
/usr/include/c++/9.2.0/bits/stl_function.h(437): error: identifier «__builtin_is_constant_evaluated» is undefined
A bit of google foo shows that this issue is related some friction between certain compiler versions and CUDA libs. Read more on that here.
I was able to build but it was a super big pain-in-the-ass. Basically for all of the CMAKE files listed below, I had to manually edit them to replace the line:
set(CUDA_HOST_COMPILER «/usr/bin/cc») # path
replaced with:
set(CUDA_HOST_COMPILER «/usr/bin/cc-8») # path
This is the full list of files I had to manually make that change in:
This was on Arch Linux but I presume this would extend to other flavors as well. Basically was unable to compile with the 9.2 version of the compiler and had to rollback to cc-8.
I think this might be a nvidia issue because I do believe they claim support for clang9 but I figured I’d make you guys aware as well as the steps I took to fix it. Anyways, I hope this helps! Would love to hear your thoughts and assist with a better solution if possible.
still works? «—cuda-launch=» «—cuda-bfactor» «—cuda-bsleep»
GTX 1060 | 3GB | 1152 Core | SMX 9 | Blocks 36 | Threads 32
2.0.1 detected as malware on Windows
Win32/Contebrew.A!ml appears to be baked into the compiled windows 10_1 download.
NVIDIA GPU 0: cannot be selected
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Sun_Feb_14_21:12:58_PST_2021
Cuda compilation tools, release 11.2, V11.2.152
Build cuda_11.2.r11.2/compiler.29618528_0
Here is my nvidia-smi:
Here is my config_default.h config part:
What have I done wrong?
CUDA disabled on GTX 1050Ti
2 questions to ask.
2 questions to ask.
CUDA disabled (no device)
I am using the «xmrig-6.6.2» with «xmrig-cuda-6.5.0-cuda11_1-win64.zip», and my GPU is Nvidia GeForce RTX 2060, 6GB
But the CUDA plugin doesn’t work, returning «CUDA disabled (no device)»
gcc-8: error: unrecognized command line option ‘-maes’
hi, were unable to compile on arm aarch 64.
OS: Ubuntu 18.04.3
CUDA: Cuda compilation tools, release 10.0, V10.0.326
/xmrig-cuda/build$ make
[ 8%] Building NVCC (Device) object CMakeFiles/xmrig-cu.dir/src/RandomX/wownero/xmrig-cu_generated_randomx_wownero.cu.o
gcc-8: error: unrecognized command line option ‘-maes’
CMake Error at xmrig-cu_generated_randomx_wownero.cu.o.Release.cmake:219 (message):
Error generating
/home/husky/xmrig-cuda/build/CMakeFiles/xmrig-cu.dir/src/RandomX/wownero/./xmrig-cu_generated_randomx_wownero.cu.o
CMakeFiles/xmrig-cu.dir/build.make:105: recipe for target ‘CMakeFiles/xmrig-cu.dir/src/RandomX/wownero/xmrig-cu_generated_randomx_wownero.cu.o’ failed
make[2]: *** [CMakeFiles/xmrig-cu.dir/src/RandomX/wownero/xmrig-cu_generated_randomx_wownero.cu.o] Error 1
CMakeFiles/Makefile2:67: recipe for target ‘CMakeFiles/xmrig-cu.dir/all’ failed
make[1]: *** [CMakeFiles/xmrig-cu.dir/all] Error 2
Makefile:83: recipe for target ‘all’ failed
make: *** [all] Error 2
CUDA Error: thread #0 failed with error :45 «out of memory»
thread #0 failed with error :45 «out of memory»
6.4.0 nvidia thread #1 failed with error Unsupported algorithm
[2020-10-19 09:00:57.681] nvidia KawPow DAG for epoch 194 calculated (14550ms)
[2020-10-19 09:00:57.681] nvidia thread #0 failed with error Unsupported algorithm
. and same error on all threads
full logs running 6.3.5 and 6.4.0 on this NV rig:
failed with error :53 «invalid argument»
build xmrig version on Nvidia Jetson Nano with CUDA plugin
got an :53 «invalid argument» at start
| # | GPU | BUS ID | INTENSITY | THREADS | BLOCKS | BF | BS | MEMORY | NAME
| 0 | 0 | 00:00.0 | 64 | 32 | 2 | 0 | 0 | 128 | NVIDIA Tegra X1
[2021-04-11 19:45:49.527] cpu READY threads 4/4 (4) huge pages 0% 0/4 memory 8192 KB (2 ms)
[2021-04-11 19:45:50.438] nvidia READY threads 1/1 (912 ms)
[2021-04-11 19:45:50.439] nvidia thread #0 failed with error :53 «invalid argument»
xmrig-5.0.1 combined cpu+nv lower hash rate than separate cpu,nv
running combined xmrig-5.0.1 cpu + nvidia-gpu results in 18% lower reported
hash rate than running separate xmrig-5.0.1 cpu and nvidia-gpu processes.
separate xmrig-5.0.1 cpu and nvidia-gpu processes are able to achieve the
same hash rate as xmrig-3.2.1 cpu + xmrig-nvidia-2.14.5 gpu processes.
running combined with one less cpu thread increases hash rate 14% but the
overall hash rate is still 4% lower than running separate processes.
i’m going to guess that something in the cuda code isn’t asynchronous enough
and is blocking one or two cpu threads from hashing at full speed.
(or could bsleep/bfactor be incorrectly applied to the cpu threads?)
Provide binaries
Do provide CUDA binary for linux
Driver does not support CUDA 11.2 API! Update your nVidia driver!
Getting this error every time I run XMRig
Driver is up to date as is everything else, this is what I get when running nvidia-smi
I’m running a 970 which is still supported by CUDA 11 so I have no idea what the issue is. I know CUDA 11.2 is very new so that may have broke somthing
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