This debug error means that the stack pointer register is not returned to its original value after the function call, i.e. that the number of pushes before the function call were not followed by the equal number of pops after the call. There are 2 reasons for this that I know (both with dynamically loaded … Read more
Oh, I think I’ve found the answer. Because I was launching the app by using IntelliJ, it seems it launches the application in a different way than a user, clicking a home screen widget, would launch. It’s explained in the answer to another SO question: This is due to the intents being used to start … Read more
A quick Google search should reveal some information on this subject. > ulimit -a # shows the current stack size
I’ve increased the stack size during some documents recognition. It was really needed. So you can increase stack size for thread using following code: var stackSize = 10000000; Thread thread = new Thread(new ThreadStart(BigRecursion), stackSize); Thread(ThreadStart, Int32) — Initializes a new instance of the Thread class, specifying the maximum stack size for the thread. Source … Read more
Since this is a known behavior of Json.NET, as noted by this answer, a custom JsonConverter can be used when deserializing a stack that pushes items on in the correct order. The following universal converter can be used with Stack<T> for any T: /// <summary> /// Converter for any Stack<T> that prevents Json.NET from reversing … Read more
First, it’s platform dependent. In some architectures, stack is allocated from the bottom of the address space and grows upwards. Assuming an architecture like x86 that stack grown downwards from the top of address space, the idea is pretty simple: =============== Highest Address (e.g. 0xFFFF) | | | STACK | | | |————-| <- Stack … Read more
No. All threads share a common heap. Each thread has a private stack, which it can quickly add and remove items from. This makes stack based memory fast, but if you use too much stack memory, as occurs in infinite recursion, you will get a stack overflow. Since all threads share the same heap, access … Read more
There is a performance difference, especially for enter. On modern processors this decodes to some 10 to 20 µops, while the three instruction sequence is about 4 to 6, depending on the architecture. For details consult Agner Fog’s instruction tables. Additionally the enter instruction usually has a quite high latency, for example 8 clocks on … Read more
Given a slight modification of your example: class Foo{ private: int x[100]; int *y; public: Foo() { y = new int[100]; } ~Foo() { delete[] y; } } Example 1: Foo *bar = new Foo(); x and y are on the heap: sizeof(Foo*) is created on the stack. sizeof(int) * 100 * 2 + sizeof(int … Read more
Your question is borderline here. programmers could be a better place. A good book to understand the concepts of stack etc might be Queinnec’s Lisp In Small Pieces (it explains quite well what a stack is for Lisp). Also, SICP is a good book to read. D.Knuth‘s books and MMIX is also a good read. … Read more