That means from an operating system point of view your application has got only the promise to get so much memory but since you did not yet access any of the committed memory via e. If the tab with Facebook is left alone, moved to just a text post etc. The only error message I am getting is when the computer gets low on memory. One usage scenario might be that our process is not used for some time so it might be a good idea to page out its memory to make room for other processes which need the physical memory more urgently. If you enable Reference Set tracing you also get Resident Set tracing since it is a superset of Resident Set. Do you have a full cpp listing somewhere? If the issue still persist, refer to the below method.
That is memory which is pending to be written to the page file. Other people to reduce the memory consumption but failed as well due to application responsiveness issues. Even Process Explorer shows these nonsensical values. But if I have a facebook tab open, even if I am only running 1 tab in chrome, and I have scrolled passed several facebook videos, google chrome will start to lag and video in facebook will become choppy and worst off the more I scroll in facebook. Click on Restart now and check for problems. You'd need to install programs again, but your files are safe. I have this quite sad problem with my laptop.
I can confirm I am having the same issue with windows 10 system and compressed memory when using facebook in google chrome I could have 15+ tabs open full of youtube videos and other things and everything will be fine. How big is your page file? I was having issues with System so I found a post telling me to deactivate Superfetch. Will report back if I notice any changes. Windows 10 was an update from Windows 8. I'm checking a server that has 32gb of ram and I see 99% memory usage. No page sharing can happen because all pages are different now and we see the expected eight fold increase in the MemCompression working when we force page out of the working sets of the CppEater instances. The used physical memory is not identical with committed memory.
Hi, Thank you for your response with the current status of the issue. Method 2 : I suggest you to perform the Hardware and Devices troubleshooter and check if it helps. Below you see working set of the MemCompression process when CppEater the first time is started with no random seed where all duplicate pages can be combined. Method 1, as I stated in my original message the process which is using up all the memory is System and compressed memory. It is a child of the System process. Windows 10 Memory Compression It is time to come back to the original headline.
A couple of weeks ago I did a file backup. So, I shut down everything. Something else must be happening here. What should I try next? When all of them are full or too fragmented the heap manager will need another round of memory via VirtualAlloc. Looks very future proofed, but needs to turn off on certain hardware intelligently. In general it is nearly never a good idea to trim your own working set.
Perhaps they are using a compression method that is overly complex. I can see the definition in psapi. Hi Jor1612, As arnavsharma suggested, we could perform a clean boot to troubleshoot whether this issue is caused by any third party service. First page touch: 366ms, 0. I have disabled all the Windows background 'apps' and updates in the settings but it has made no difference.
Then click on System and Security. The only difference is that after the flush of the working set the Active List memory remains much larger than in the first case blue bar. In reality you will always see a mixture of soft and hard page faults and now also semi hard faults due to memory compression which makes the already quite complex world of memory management even more complicated. Thanks for the advice, it's good to know it's likely a windows issue rather than hardware. Every number you will ever see with regards to memory consumption is wrong or a lie to some extent. From a developers points of view memory is only a new xxxx away.
A specialty of large pages is that they are never paged out and allocated immediately when you call VirtualAlloc. Perhaps they are using a compression method that is overly complex. Otherwise you will only know that large portions of your active memory consists of page file allocated memory but you do not know which process it belongs to. I did this and it seem to resolve the issue but since the last update this other memory issue has begun. I know hdd can be faster than that but it feels like forever now.