I am following this webpage to install nvidia GPU drivers in my fedora 34 64 bit system but it prompts me with an error of unable to load nvidia-drm kernel module while installing. The nvidia driver I used is Quadro RTX 4000 version, 470.74
The log during installation is here.
https://pastebin.com/5GbYcMgp log for nvidia fedora installation
Help of any sort will be appreciated!
Related
I need to use OpenCL library for NVidia GPU in a machine but I can not install globally (I am not the super user), and so I need runtime library which can be used locally. I found in NVidia webpage
the OpenCL library for Ubuntu 16.04 and 18.04 but not 14.04 and it should be install using command
$ sudo sh cuda_10.2.89_440.33.01_linux.run
SO anyone knows where I can find OpenCL library for Ubuntu 14.04 and how to use it locally.
Info: My windows and Ubuntu system is the same. I just swap out my boot drive using a removable drive bay.
*Not using Docker
CPU: i9-7920X (128 GB DDR4)
GPUs:
2 Titan Vs and
RTX 2070 (Display)
Windows 10:
Nvidia Driver 416.81 in TCC cluster and
Cuda 10
Ubuntu Desktop 18.04:
Nvidia Driver 410.72 (not sure if need to cluster on Linux) and
Cuda 10
Test Software:
Running TensorFlow cifar10 esitimator - same training data - (link at bottom)
python cifar10_main.py --data-dir=/tmp --job-dir=/tmp/cifar10 --num-gpus=2 --train-steps=10000
Windows completes in 420 seconds (7.0 minutes)
Ubuntu completes in 614 seconds (10.2 minutes)
https://github.com/tensorflow/models/tree/master/tutorials/image/cifar10_estimator
Why is Ubuntu so much slower? Do the GPUs need to be clustered on Linux or are the different drivers (Ubuntu vs. Windows) the issue?
Thanks.
I am using 64 bit ARMV8, on Kernel 3.18 based android device.
I am trying to use kgdb using kgdboc on Serial port. When I try to enable the kgdboc, it gets failed (Error -19).
echo ttyS1 > /sys/module/kgdboc/parameters/kgdboc
Please help me to resolve this issue.
I have a GeForce 8400 GS and compatible updated driver 341.44 installed on my Windows 8.1 x64 machine. When I tried to install CUDA 7.0 it showed that it could not find compatible hardware but I went along and chose to not install the provided driver and looking at this website Nvidia Installation guide ran deviceQuery after installation but got this output.
$_ deviceQuery.exe
deviceQuery.exe Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
cudaGetDeviceCount returned 35
-> CUDA driver version is insufficient for CUDA runtime version
Result = FAIL
$_
Help me install it properly.
You can't use CUDA 7 with a GeForce 8400 GS. That is a compute capability 1.1 device and support for that was dropped in CUDA 7.
Install CUDA 6.5 instead. You can keep your 341.44 driver that you already have installed.
If you use CUDA 6.5, be sure to select an appropriate architecture e.g. compute_11,sm_11 for your GPU when compiling codes. CUDA 6.5 compiles for a cc2.0 GPU by default.
I am trying to connect openOCD to BeagleBone via onboard FTDI JTAG Emulator on Windows 7 x64. I have installed the ftdi driver 64bit that came with BeagleBone. when i connect the BBone to windows, USB Serial Converter A and B shows up along with COM port.
the hardware id of device-managers shows up as:
USB\VID_0403&PID_6010
I have downloaded openOCD 0.6.1 with both 32 & 64 bit binaries and ti_beaglebone.cfg script and the VID PID matches as above.
I have tried executing:
openocd-x64-0.6.1.exe -f board/ti_beaglebone.cfg
But it doesn't recognize the FTDI at all and shows up following lines:
Open On-Chip Debugger 0.6.1 (2012-10-07-10:39)
Licensed under GNU GPL v2
For bug reports, read
http://openocd.sourceforge.net/doc/doxygen/bugs.html
Info : only one transport option; autoselect 'jtag'
adapter speed: 16000 kHz
trst_and_srst separate srst_gates_jtag trst_push_pull srst_open_drain
Warn : unable to open ftdi device (trying more): device not found
Error: unable to open ftdi device: device not found
in procedure 'init'
I have tried both 32 and 64-bit binaries of OpenOCD and no luck.
Any help would be appreciated
Thanks