Memtest86 being a memory testing program run just after BIOS, is it possible to run memtest86 on gem5 fs mode( gem5 se will not be useful as there is no BIOS there).
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I'm trying to run a docker image on MacBook M1, but this image doesn't support arm architecture (vosk-server), so docker needed to emulate through qemu.
But my issue is that the performance is bad, but I think it is due to the use of only 1 cpu core. I saw this in the activity monitor, that qemu was only using 1 cpu core.
My question is if it is possible to increase the number of cpu core qemu can use through docker.
Thank you
I have constructed a machine-learning computer with two RTX 2070 SUPER NVIDIA GPUs connected with SLI Bridge, Windows OS (SLI verified in NVIDIA Control Panel).
I have benchmarked the system using http://ai-benchmark.com/alpha and got impressive results.
In order to take the best advantage of libraries that use the GPU for scientific tasks (cuDF) I have created a TensorFlow Linux container:
https://www.tensorflow.org/install/docker
using “latest-gpu-py3-jupyter” tag.
I have then connected PyCharm to this container and configured its interpreter as an interpreter of the same project (I mounted the host project folder in the container).
When I run the same benchmark on the container, I get the error:
tensorflow.python.framework.errors_impl.ResourceExhaustedError: OOM when allocating tensor with shape[50,56,56,144] and type float on /job:localhost/replica:0/task:0/device:CPU:0 by allocator cpu
[[node MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm (defined at usr/local/lib/python3.6/dist-packages/ai_benchmark/utils.py:238) ]]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info.
This error relates to the exhaustion of GPU memory inside the container.
Why is the GPU on the windows host successfully handle the computation and the GPU on the Linux container exhaust the memory?
What makes this difference? is that related to memory allocation in the container?
Here is an awesome link from docker.com that explains why your desired workflow won't work. It also wouldn't work with RAPIDS cudf either. Docker Desktop works using Hyper V which isolates the hardware and doesn't access to the GPU the way the Linux drivers expect. Also, nvidia-docker is linux only
I can let you know that RAPIDS (cudf) currently doesn't support this implementation either. Windows, however, does work better with a Linux host. For both tensorflow and cudf, I strongly recommend that you use (or dual boot) one of the recommended OSes as your host OS, found here: https://rapids.ai/start.html#prerequisites. If you need Windows in your workflow, you can run it on top of your Linux host.
There is a chance that in the future, a WSL version will allow you to run RAPIDS on Windows, letting you- on your own- craft an on Windows solution.
Hope this helps!
Is it possible to run memtestx86 on Gem5 simulator.What changes we have to do in BIOS files,or any other way possible for this task.
I am working on xen hypervisor. Because of working below OS.The things I can see is physical devices such as cpu and memory.The Guest OS is HVM(windows 7).I need to copy it memory of kernel space(above 0x80000000).It works all right when copy below 0x80000000. But the win7 oops when I copy from above 0x80000000. I think the cpu is running on ring3 when I copy.But I need to know which level(ring0 or ring3) the vcpu of Guest OS is running on.(I use hvm_copy_from_guest_phys() in win7's context to do the copy operation)
I am studying the boot process in Linux. I am looking through this html page http://www.tldp.org/HOWTO/Bootdisk-HOWTO/x88.html. The first line under the section 3.1 "The boot process" says that "All PC systems start the boot process by executing code in ROM (specifically, the BIOS)".
My doubts are
Who loads the code in BIOS ?
Where is this code in BIOS located ?
To where is the code in BIOS loaded and executed ?
Kindly tell me references where i can get more information
Thanks,
LinuxPenseur
The code is already there in memory when the computer is powered on. It is in non volatile memory, meaning it doesn't disappear when the computer is turned off.
So the code is already there in a specific memory address, and the processor starts by running it.
More info here
A good question! Actually you do not need to reformat the HDD or even reinstall the OS on it unless the new PC is unable to run the existing OS on the drive.
Commonly, if you did a simple install of a Linux distribution, you would have no trouble moving the HDD to a new system and just running it. But if the OS is a version of Windows, the chances of this being the case are nearly zero: hardware vendors nearly always tune their device drivers for Windows so you cannot even use the same driver for two versions of Windows on the same machine (upgrading from XP to Windows 7 for example, often requires that you redownload at least a few hardware drivers).
And the problem often arises even with Linux if you have installed any high performance drivers. Sometimes you can perform a "recovery boot" from GRUB or LILO and get into a text mode screen with internet access, though. And if you can do that, often you can install the drivers for the new PC on the Linux HDD without doing a complete reinstall of Linux.
In fact, this is actually what that install CD or DVD is actually doing. It boots to a very vanilla flavor of the OS (Windows or Linux), then installs drivers for the hardware it detects, reboots (hopefully with functioning drivers) and wraps up the install process.