I have code that has a low amount of active allocations (about 5 MB according to Instruments), but a high amount of system memory usage (over 100 MB). I know the code is leak-free, and I'm not seeing any allocation spikes after some optimization, but I'm still crashing due to the high amount of memory usage.
I Googled around a lot and see that I'm supposed to be using the VM Tracker instrument, which confirms my high memory usage, but I'm not sure how to address this situation. I'm using as little memory as possible, it's still too much on an iPad 1, and I don't have the knowledge or tools to figure out how to get the OS to not mark so much memory as dirty when I'm not actually using it. Where do I go from here?
Use the Profile tool and select memory +allocations. Click the VM tracker and take a snapshots. This results in a list with resident dirty and virtual memory usage per object type. This will give you an indication where to look.
I think the most common problem is that you have a lot of autoreleased objects that reside in the autoreleasepool. The following link explains more on how to handle autoreleasepools:
How does the NSAutoreleasePool autorelease pool work?
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I get frequent memory warnings in my application but I don't know why.
Here is the snapshot of allocation instruments.
I know that we don't have any control over virtual memory assigned to us but I am trying to understand what information does that number 26.50 MB means for a developer.
1. What does a high VM means ? Does it lead to a jetsam ? Is that cause of any other concern ?
2. Is this value dependent on device ?
3. Does a low vm means that your app is memory efficient
4. Does a high VM leads to memory warnings in your app ?
5. What cause this value to change ?
6. What steps should a developer take when they see a high vm for their app (like 300 MB) ?
7. Is VM tracker instrument related to this value ?
Anonymous VM covers a lot of things, some of which are things you want to minimize and some that are generally less important. The short version of "anonymous VM" is that it's addresses you have mapped but not named. Heap allocations get "named" which lets you track them as objects. But there are lots (and lots) of non-objecty things that fall into the "anonymous VM" bucket.
Things allocated with malloc can wind up in this region. But also memory mapped files. Your executable is a memory mapped file, but since it's never dirty, parts of it can be swapped out. So "it's complicated." But in big, vague terms, yes, you do care about this section, but you may not care about all of it very much. Heap allocations tends to track your ObjC stuff. Anonymous VM often tracks things that you don't have a lot of direct control over (like CALayer backing storage).
All that said, the Instruments output you provide doesn't look like any major problem. I suspect it's not indicative of a time you're pressuring memory. You'll need to get yourself into a memory warning situation and see what's going on then, and dig into the specifics of what is using memory.
For much more detail on this, you should watch WWDC 2013 session 704 "Building Efficient OS X Apps" which goes into depth on much of this. While iOS has a somewhat different memory system, and some OS X tools aren't available on iOS, many of the concepts still apply.
Is there a way to retrieve information about the memory of the ipad during running?
For example, i would like to print in the console the use of memory at t instant.
Thanks
You should instrument this instead of trying to print a number. That number is not really useful. What you care about is your application's dirty memory footprint for memory pressure on the device and how much code/mapped ro mem you're evicting to see if you're essentially thrashing and causing performance problems due to memory pressure.
The other info you can get, like device inboard memory and how many pages your app has allocated are not useful because you don't know how much of that memory is wired to other devices or the kernel and you don't know how many of your allocated pages are faults at that point.
I'm definitely confused on this point.
I have an iPad application that shows 'Live Bytes' usage of 6-12mb in the object allocation instrument. If I pull up the memory monitor or activity monitor, the 'Real Memory' Column consistently climbs to around 80-90mb after some serious usage.
So do I have a normal memory footprint or a high one?
This answer and this answer claim you should watch 'Live Bytes' as the 'Real Memory' column shows memory blocks that have been released, but the OS hasn't yet reclaimed it.
On the other hand, this answer claims you need to pay attention to that memory monitor, as the 'Live Bytes' doesn't include things like interface elements.
What is the deal with iOS memory footprint!? :)
Those are simply two different metrics for measuring memory use. Which one is the "right" one depends on what question you're trying to answer.
In a nutshell, the difference between "live bytes" and "real memory" is the difference between the amount of memory currently used for stuff that your app has created and the total amount of physical memory currently attributed to your app. There are at least two reasons that those are different:
code: Your app's code has to be loaded into memory, of course, and the virtual memory system surely attributes that to your app even though it's not memory that your app allocated.
memory pools: Most allocators work by maintaining one or more pools of memory from which they can carve off pieces for individual objects or allocated memory blocks. Most implementations of malloc work that way, and I expect that the object allocator does too. These pools aren't automatically resized downward when an object is deallocated -- the memory is just marked 'free' in the pool, but the whole pool will still be attributed to your app.
There may be other ways that memory is attributed to your app without being directly allocated by your code, too.
So, what are you trying to learn about your application? If you're trying to figure out why your app crashed due to low memory, look at both "live bytes" (to see what your app is using now) and "real memory" (to see how much memory the VM system says your app is using). If you're trying to improve your app's memory performance, looking at "live bytes" or "live objects" is more likely to help, since that's the memory that you can do something about.
Seeing as how I wrote the last answer you linked to, I'll have to stand by that. If you want a total, accurate count of the current memory usage for your application, use the Memory Monitor instrument.
For reasons that I describe in this answer, Allocations hides the memory sizes of certain elements, meaning that its memory usage totals are significantly lower than your application's in-memory size. Many people find this out the hard way when they try to get their application functional on older iOS devices. On the older hardware, you had a hard memory ceiling of ~30 MB, where if you exceeded that your application was hard-killed.
Many developers (myself included) saw that we only had ~1-2 MB of live bytes in Allocations and thought we were good, until our applications started receiving memory warnings and early terminations. If you looked at Memory Monitor, you could see the true in-memory size of these applications being >20 MB, and you could see the applications being terminated the instant they crossed the 30 MB barrier in Memory Monitor.
Therefore, if you want an accurate assessment of your total application memory usage, use Memory Monitor. Allocations is great to find out the specific objects that are in memory, particularly when you use the heap shots to find things that might be accumulating (as leaks, retain cycles, or for other reasons). Just don't trust it when determining your application's actual size in memory.
'Live bytes' means memory allocated by your code (for example by malloc), so you have access to this memory. 'Real memory' shows physical amount of memory used by your app. This include also OpenGL textures, (possibly) sounds from Open AL...
Live bytes is useful to check when you allocate and release memory in your code. Real memory is good indicator for memory optimization efficiency. And it's overhead causes 'low memory' warnings.
I'm in the process of understanding how to put instruments to better use. I just finished a leak management exercise, and instruments is reporting very few leaks. I'll figure those out later. In the mean time, my app is crashing, and it appears that its related to memory pressure.
So I looked at this in Instruments. I have Allocations and Memory Monitor in use. Allocations shows a pretty steady 3 to 4 MB Live bytes while I just let my app initialize and come to equilibrium. Overall bytes, however, jumps to over 50 MB. I didn't think much of this until I looked at the Memory Monitor and I see that memory usage goes up and down, causing memory warnings. (It seems strange to me that this doesn't show up on the allocations graph at the same time.)
The app should be at an equilibrium point, but apparently it's not. My question is how can I use instruments to help me understand why memory usages is rising and falling?
Instruments as a tool for debugging is simply excellent. From what I can understand, you have been trying to use the allocations tool, so I'll go over that. Allocations details the number of objects your application allocates during it's execution, along with their in-memory references, locations, even the calling code that allocates said objects. When instruments starts running the allocations tool, your application begins reporting all allocations as blue dots, which pile up higher and higher as your application executes (naturally, as you should be allocating more and more objects). Overall Bytes displays the amount of memory EVERY allocation your app has made added together. I want to stress this for your case: it does not mean your app is currently using 50 mb of memory!, it just means that your app has used 50 mb total. Your app is obviously limited to the amount of memory the device has, and 3-4 mb is not a lot when you consider that the first gen. iPhone had about 128mb, but for more complicated applications, the OS will usually kill off other applications before it kills yours.
As for the other allocation graph with spikes, rather than a continuous line graph, that is to detail the number of allocations going on at that point in time. Usually, the spikes can be ignored, unless there are a lot of large spikes in one small amount of time.
Anyways, to address your specific memory warning problem, it honestly depends how many memory warnings you are receiving, and at what level the warning are at. And as for your leaks, my only word of advice is: Squash them as soon as possible! When you see a leak (a red bar in the leaks tool), click on the bar and find the objects that are being leaked. When you select a leaked object, then select the right sidebar, it will show you the code that is leaking. When you double click on any part of the right sidebar, it'll even open up the specific line and class the leak originated from!
I'm finding AQTime hard to use because it interferes with the original program too much. If I have a program that uses, for example, 300MB of ram I can use AQTime's allocation profiler without a problem, and find out where most of the memory is being used. However I notice that running under AQTime, the original program uses more like 1GB while it's being profiled.
Right now I'm trying to reduce memory usage in a program which is using 1.4GB of memory. If I run it under AQTime, then the original program uses all of the 2GB address space and crashes. I can of course invent a smaller set of test data and estimate how the memory usage will scale with the full data set - but the reason I'm using a profiler in the first place is to try to avoid this sort of guesswork.
I already have AQTime set to 'Collect stack information - None' and all the check boxes to do with checking memory integrity are switched off, and I've tried restricting the area being profiled to just a few classes but this doesn't seem to improve anything. Is there a way to use AQTime that produces a smaller overhead? Or failing that, what other approaches are there to get a good idea of the memory being used?
The app is written in Delphi 2010 and I'm using AQTime 6.
NB: On top of the increased memory usage, running under AQTime slows the app down an awful lot, making the whole exercise not just impossible but impractical too :-P
AFAIK the allocation profiler will track memory block allocation regardless of profiling areas. Profiling areas are used to track classes instantiation. Of course memory-profiling an application that allocates a large amount of memory is a issue, you may try to use the LARGE_ADRESS_AWARE flag, and the /3GB boot switch, or use a 64 bit system (as long as you have at least 4GB of memory, or more). Also you can take snapshot of the application state before it crashes, to see where the memory is allocated. Profiling takes time, anyway, you may have to let it run for a while.