As a jumping off point, I’d recommend just running vmmap with the summary flag against a Memgraph taken of your process and then follow the thread down there. Actually, I’m not going to have any water. And what that does is it prints out each frame on its own line, makes it a lot more human readable. Now, these pages are clean when I allocate them. And in particular, some of these use a lot more dirty memory and some have a lot more compressed memory, so this gives me an idea of maybe something I want to focus on.

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Now, I checked in the documentation. But the other thing that’s nice is the simulator is never going to run out of memory.

And I’d like to introduce some of the more advanced tools we have for profiling and investigating your application’s footprint. Now, every app has a footprint limit.

I’ve passed it to malloc history, and I’ve got a backtrace. I’m going to grab the beginning address of that 46a region. Not very common in our usage. So we’ll start by printing you the nonwritable region, so, like, your program’s text or executable code, and then the writable regions, so the data sections, for instance.


Building Success with Routines and Rituals. Let’s go ahead and run this — hopefully, it’ll build — and see if this happens to make any difference in terms of my memory usage. Well, that’s both kind of good news and bad news. That’s a great savings and the same fidelity.


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So if you leverage like the viewWillAppear and viewDidDisappear code or callbacks, you can keep your memory footprint smaller. You’re probably already familiar with Allocations and Leaks. But I’m actually going to use a different strategy here.


And what that does is it prints out each frame on its own line, makes it a lot more human readable. It’s a very big terminal output. If we scroll up to the top, which is way up here, I can actually see here’s my VM region, here’s my CG image region, and then I can see there’s a tree view here of all the things that have references, and what references them, and what references them, and so on and so forth. And then, finally, I pipe that into a super simple awk script to sum up the dirty column and then print it out as the number of dirty pages at the end.

Now, this is now compressed, but I’m actually saving space or I’ve got two extra pages. Well, we need to talk about pages. So as a good rule of thumb, we recommend unloading large resources you cannot see.

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I should probably take a Memgraph and investigate this further. It’s 8 bits per pixel, so you have 1 byte for red, 1 byte for green, and 1 byte for blue, and an alpha component. Now, I’d like to hand back to Kyle, who’s aip to talk about what can be some of the largest objects in iOS apps, and that’s images. You can also use it for super accurate colors for, like, sports logos and such. So let’s take a look at that, and let’s apply the filter and see what we get.


I’m a software engineer at Apple and today we’d like to take a deep dive into iOS memory. Now, there’s a luminance and alpha 8 format.

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So even though I don’t see a big improvement, I know my code is still better for having made these changes. I’m really pleased with how it’s going so far, so I sent it off to James to get his opinion on it, and he sent me back an email app 2 attachments. So here I’ve run vmmap against the Memgraph I took.

But these are only really useful on the wide format displays, so we don’t want to use this when we don’t need to. And if malloc stack logging was enabled on the process, we’ll 416z give you a backtrace for the root node.

As an example, I have this really beautiful picture that I want to use as a wallpaper for an iPad app. Let’s look at a leak in the memory debugger.