system-monitor | 基于（siger）开发的SpringBoot项目，java获取服务器信息

Sagepay recently changed their SSL and it has been causing issues. To resolve it they suggest pulling down the certificate in the browser and adding it to your root store. They don't give instructions on this and cannot clarify further. I've contacted my hosting company and they say it's something I need to deal with.

I'm hosting on Siteground running PHP 7.3 if that helps

Sagepay "solution": https://www.opayo.co.uk/support/support/system-monitor

I have heard its a conventional practice to store program dependent files in /usr/share/application-folder in linux. So I'm trying to do it in my c program in a function called load_interface_files() for example. I am not sure if this is a good practice or not, I've heard about creating configuration files for this kind of issues.

Anyways, here's the the code I wrote to make a directory in /usr/share.

I have created an exe using pyinstaller by running the following command:

I'm on an Ubuntu 19.10 machine (with KDE desktop environment) with 8GB of RAM, an i5 8250u and an MX130 gpu (2GB VRAM), running a Jupyter Notebook with tensorflow-gpu.

I was just training some models to test their memory usage, and I can't see any sense in what I'm looking at. I used KSysGUARD and NVIDIA System Monitor (https://github.com/congard/nvidia-system-monitor) to monitor my system during training.

1. As I hit "train", on NVIDIA S.M. show me that memory usage is 100% (or near 100% like 95/97%) the GPU usage is fine.

2. Always in NVIDIA S.M., I look at the processes list and "python" occupies only around 60MB of vram space.

3. In KSysGUARD, python's memory usage is always around 700mb.

There might be some explanation for that, the problem is that the gpu's memory usage hits 90% with a model with literally 2 neurons (densely connected of course xD), just like a model with 200million parameters does. I'm using a batch size of 128.

I thought around that mess, and if I'm not wrong, a model with 200million parameters should occupy 200000000*4bytes*128 bytes, which should be 1024gb. That means I'm definitely wrong on something, but I'm too selfless to keep that riddle for me, so I decided to give you the chance to solve this ;D

PS: English is not my main language.

when I try to edit the latency_timer of /dev/ttyUSB0 on my laptop I get an error. Here what I do:

Using Ubuntu 18.04 bash, if I list all files that share the same specific inode 4 with:

I just noticed that if you don't either clear or replace a string, the memory usage doesn't reduce.

File x.rb:

I've run into an issue I'd like to understand more.

I have a C++ application on a Linux machine. Let's call this program1. program1 uses ZeroMQ for IPC communications. I imagine that the ZeroMQ layer has a little to do with the behavior but want to introduce all the facts. If I run program1 via terminal with no elevated permissions, I can kill it any number of times. I can also run program1 with Eclipse with no issues.

However, if I run program1 with elevated permissions:

$ sudo ./program1

and kill it (Ctrl+C), the IPC socket locks up and is unavailable for use when trying to run the application without elevated privileges. However, if I rerun the program with elevated permissions, it works just fine.

My theory is that once you run the application with elevated permissions that the file descriptors change ownership to the parent process (with elevated permissions). Then, when you kill the process the file descriptors are never properly cleaned so their permissions are left elevated, unable to be used without the elevated permissions.

Is that on the mark? If so, is there a way to prevent this type of issue in code, or to fix the issue after it occurs without restarting the entire computer?

Updated ******

Updating to add more information:

1) The software does really exit when I hit Ctr+C. It can't be found in the system monitor, even when ran as sudo. (sudo gnome-system-monitor)

2) The socket returns "address already in use" on creation.

3) Ideally, I'd want them to be able to connect to each other no matter how they are ran. This isn't an issue I considered during development and will admit I'm new to Linux and IPC communication.

I recently created a Raid10 with four 3TB drives, got everything working, copied all my files over, and the raid became inaccessible after a reboot.

I've been doing a bunch of searching on this and I'm not sure how to proceed.

I had a working RAIDZ with three 3TB drives and decided to switch to a RAID10 with four 3TB drives (I bought one more).

I copied all the files over to a spare drive, disbanded the RAIDZ, assembled the RAID10, copied my files back, and everything seemed to work.

I thought I had rebooted and checked that everything still worked, but once I rebooted, the RAID10 became inactive and I can't seem to make it active again.

1. Not exhaustively testing everything while I still had the backups.
2. I used the raw 4th drive and forgot to repartition the 3 existing drives before creating the RAID10.
3. I created the RAID10 following a guide that pointed at the raw drives [sdb, sdc, sdd, sdf] instead of at partitions [sdb1, sdc1, sdd1, sdf1] (NOTE: The backup USB hard drive was sde for some reason)

This is scary because it only sees one of the 4 drives: