Using Version 48.0.2564.109 m.
We have a javascript web app (built with ExtJS). In Chrome, when we leave our app sitting there for a while, the GC starts going nuts. In Task Manager, you can see the CPU constantly spinning around 25%.
I took timeline snapshots and CPU profiles, and you can see the GC, about 10 times a seconds, try to collect memory, but collects 0B.
Our app is a large enterprise application and does use quite a bit of memory and updates the screen periodically.
But, there is absolutely no javascript code running during this time. So I can't see that it is something our app is actively doing
Does anyone know what could be triggering this?
It is killing performance of our app.
Also, it only happens when our tab is active. If you switch to a different tab, the CPU dies down and the GC stops.
Is there other data I need to collect to help determine this?
What is your app current JS heap size? You can check it by collecting timeline and enabling memory check box.
It looks like your app is close to the V8 memory limit, so V8 is trying to free some memory. If it is expected for the app to use that much memory, you can increase the limit on your host with something like: --js-flags="--max-old-space-size=2048"
Otherwise it might be just a memory leak in your code. Use heap profiler to hunt it down.
While attached to debugger it runs just fine. The Periodic Task is invoked and runs over and over, but when I deploy it to my device It seems to run 1-2 times and then stops.
What It does is setting the live tile background image from isolated storage. The images are created in the application and then saved to isolated storage. As mentioned it works well while attached to the debugger.
The only constraint I could think that could break it would be the memory cap. The application creates and saves 40 images of ~25kB each, and that isn't 1 MB! The application is maybe <4 MB, so that is 5 MB... a lot less than the 11 MB minimal requirement.
So it can't be the memory cap kicking in. Two consecutive unhandled crashes should also break the task, but I've thrown all the code in the task's OnInvoke() in a try/catch.
Now I'm out of ideas what stopping my periodic task when running without being connected to visual studio running in debugger. Any clues?
Firstly are you using Windows 8.1 phone by any chance? Since there is an issue with Periodic tasks do not run on windows phone 8.1 devices as you can see on this forum
Background agent can’t use more than 6MB of memory. You can get the current memory usage using the following snippet :
var memory = DeviceStatus.ApplicationMemoryUsageLimit
- DeviceStatus.ApplicationCurrentMemoryUsage;
automatically executed by the OS each 30 minutes
the operation can’t exceed 25 seconds per run
if the phone switch to battery saver mode the background agent may not be executed
on some devices only 6 background agents may be planned simultaneously
agents can’t use more that 6MB of memory
agents have to be re-planned each 2 weeks
an agent that crashes two times is automatically disabled by the system
Periodic tasks are unscheduled after two consecutive crashes. You need to make sure that this doesn't happen (check internet connectivity if required, set a timeout on web requests, etc.).
You should place your code in a try/catch block and log exceptions in the Isolated Storage to see what happened afterwards.
Here is the list of constraints that apply on scheduled agents (MSDN): Constraints for all Scheduled Task Types
Here is also a series of blog posts that could help you: Windows Phone: Background Agents Pitfalls
Have you actually measured and logged the memory that's being used? What you're saying isn't very correct:
When the background agent starts it has already taken 5-6MB to load what it needs from the .NET framework.
If you mean that the compressed files are 25KB each, you should know that the images in the memory are not compressed (at least not that much).
There are two things you can try:
Use this property and check the peak memory usage: DeviceStatus.ApplicationPeakMemoryUsage. Write it to some file (maybe every 5 images or so) and check if it's okay. Paste the results, please.
Note: When testing the memory usage, it's best to build the app in "Release" and run it without debugging on a device. That's most accurate. There are some minor variations, so you should run the agent several times to be sure it's working within the limits. You can force start it from the app using ScheduledActionService.LaunchForTest.
Also, I'd suggest you subscribe to the Application.Current.UnhandledException event and mark all exceptions as handled (and log them, so that you can fix them). That's for extra safety.
P.S. When the background agent stops executing, is it "blocked" in the list of background tasks on the device?
I read an article on BackgroundTasks: TimeTrigger and MaintenaceTrigger.
Here they demonstrate how these triggers can be used to download email. I'm trying to understand the practicality and appropriateness of this approach.
Quotas for BackgroundTasks on LockScreen are 2 seconds CPU time and non-LockScreen is 1 second CPU time.
Given this restriction, how is it possible that one can download emails in this amount of time? Surely, just establishing a connection to the remote server will take more time than that?
Am i misunderstanding something about how BackgroundTasks work or is this article inaccurate?
http://blogs.msdn.com/b/windowsappdev/archive/2012/05/24/being-productive-in-the-background-background-tasks.aspx
CPU Time is not the same as the amount of seconds that have passed. Your link references a Word Document, Introduction to Background Tasks, which contains the following:
CPU usage time refers to the amount of CPU time used by the app and not the wall clock time of the background task. For example, if the background task is waiting in its code for the remote server to respond, and it is not actually using the CPU, then the wait time is not counted against the CPU quota because the background task is not using the CPU.
If you are establishing a connection to the mail server (and waiting for it to respond), then you are not using any CPU. This means the time that you spent waiting is not counted against you.
Of course, you will want to test your background task to make sure that it stays within the limits.
Hi I'm looking into the issues to expect if the Flash Player (version 10) is run over a long period of time, say 24+ hours.
I know that the player has issues with not performing garbage collection properly, and that the weak listener system is buggy.
I plan on having the flash app started/monitored using a watchdog/sentinal app written in C/C++/C#. So I plan on refreshing the app periodically.
Does anyone have recommended practices for running a flash player over that sort of time scale?
Memory leaks are probably the worst. If you manage to make an app run on a 100% stable memory level for 1 hour it should also run for 24 hour and more (if its activity is stable as well).
Flex's profiler is nice to look up for leaks and uncollected items ...
I think, you want to make an application run a long time not easily and not difficult. You must always free memory at interval 300ms ( use LocalConnection).
I've noticed that CUDA applications tend to have a rough maximum run-time of 5-15 seconds before they will fail and exit out. I realize it's ideal to not have CUDA application run that long but assuming that it is the correct choice to use CUDA and due to the amount of sequential work per thread it must run that long, is there any way to extend this amount of time or to get around it?
I'm not a CUDA expert, --- I've been developing with the AMD Stream SDK, which AFAIK is roughly comparable.
You can disable the Windows watchdog timer, but that is highly not recommended, for reasons that should be obvious.
To disable it, you need to regedit HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Control\Watchdog\Display\DisableBugCheck, create a REG_DWORD and set it to 1.
You may also need to do something in the NVidia control panel. Look for some reference to "VPU Recovery" in the CUDA docs.
Ideally, you should be able to break your kernel operations up into multiple passes over your data to break it up into operations that run in the time limit.
Alternatively, you can divide the problem domain up so that it's computing fewer output pixels per command. I.e., instead of computing 1,000,000 output pixels in one fell swoop, issue 10 commands to the gpu to compute 100,000 each.
The basic unit that has to fit within the time slice is not your entire application, but the execution of a single command buffer. In the AMD Stream SDK, a long sequence of operations can be broken up into multiple time slices by explicitly flushing the command queue with a CtxFlush() call. Perhaps CUDA has something similar?
You should not have to read all of your data back and forth across the PCIX bus on every time slice; you can leave your textures, etc. in gpu local memory; you just have some command buffers complete occasionally, to prove to the OS that you're not stuck in an infinite loop.
Finally, GPUs are fast, so if your application is not able to do useful work in that 5 or 10 seconds, I'd take that as a sign that something is wrong.
[EDIT Mar 2010 to update:] (outdated again, see the updates below for the most recent information) The registry key above is out-of-date. I think that was the key for Windows XP 64-bit. There are new registry keys for Vista and Windows 7. You can find them here: http://www.microsoft.com/whdc/device/display/wddm_timeout.mspx
or here: http://msdn.microsoft.com/en-us/library/ee817001.aspx
[EDIT Apr 2015 to update:] This is getting really out of date. The easiest way to disable TDR for Cuda programming, assuming you have the NVIDIA Nsight tools installed, is to open the Nsight Monitor, click on "Nsight Monitor options", and under "General" set "WDDM TDR enabled" to false. This will change the registry setting for you. Close and reboot. Any change to the TDR registry setting won't take effect until you reboot.
[EDIT August 2018 to update:]
Although the NVIDIA tools allow disabling the TDR now, the same question is relevant for AMD/OpenCL developers. For those: The current link that documents the TDR settings is at https://learn.microsoft.com/en-us/windows-hardware/drivers/display/tdr-registry-keys
On Windows, the graphics driver has a watchdog timer that kills any shader programs that run for more than 5 seconds. Note that the Xorg/XFree86 drivers don't do this, so one possible workaround is to run the CUDA apps on Linux.
AFAIK it is not possible to disable the watchdog timer on Windows. The only way to get around this on Windows is to use a second card that has no displayed screens on it. It doesn't have to be a Tesla but it must have no active screens.
Resolve Timeout Detection and Recovery - WINDOWS 7 (32/64 bit)
Create a registry key in Windows to change the TDR settings to a
higher amount, so that Windows will allow for a longer delay before
TDR process starts.
Open Regedit from Run or DOS.
In Windows 7 navigate to the correct registry key area, to create the
new key:
HKEY_LOCAL_MACHINE>SYSTEM>CurrentControlSet>Control>GraphicsDrivers.
There will probably one key in there called DxgKrnlVersion there as a
DWord.
Right click and select to create a new key REG_DWORD, and name it
TdrDelay. The value assigned to it is the number of seconds before
TDR kicks in - it > is currently 2 automatically in Windows (even
though the reg. key value doesn't exist >until you create it). Assign
it with a new value (I tried 4 seconds), which doubles the time before
TDR. Then restart PC. You need to restart the PC before the value will
work.
Source from Win7 TDR (Driver Timeout Detection & Recovery)
I have also verified this and works fine.
The most basic solution is to pick a point in the calculation some percentage of the way through that I am sure the GPU I am working with is able to complete in time, save all the state information and stop, then to start again.
Update:
For Linux: Exiting X will allow you to run CUDA applications as long as you want. No Tesla required (A 9600 was used in testing this)
One thing to note, however, is that if X is never entered, the drivers probably won't be loaded, and it won't work.
It also seems that for Linux, simply not having any X displays up at the time will also work, so X does not need to be exited as long as you screen to a non-X full-screen terminal.
This isn't possible. The time-out is there to prevent bugs in calculations from taking up the GPU for long periods of time.
If you use a dedicated card for CUDA work, the time limit is lifted. I'm not sure if this requires a Tesla card, or if a GeForce with no monitor connected can be used.
The solution I use is:
1. Pass all information to device.
2. Run iterative versions of algorithms, where each iteration invokes the kernel on the memory already stored within the device.
3. Finally transfer memory to host only after all iterations have ended.
This enables control over iterations from CPU (including option to abort), without the costly device<-->host memory transfers between iterations.
The watchdog timer only applies on GPUs with a display attached.
On Windows the timer is part of the WDDM, it is possible to modify the settings (timeout, behaviour on reaching timeout etc.) with some registry keys, see this Microsoft article for more information.
It is possible to disable this behavior in Linux. Although the "watchdog" has an obvious purpose, it may cause some very unexpected results when doing extensive computations using shaders / CUDA.
The option can be toggled in your X-configuration (likely /etc/X11/xorg.conf)
Adding: Option "Interactive" "0" to the device section of your GPU does the job.
see CUDA Visual Profiler 'Interactive' X config option?
For details on the config
and
see ftp://download.nvidia.com/XFree86/Linux-x86/270.41.06/README/xconfigoptions.html#Interactive
For a description of the parameter.