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In that case, they are stored inline and are deallocated when the containing type is deallocated. Structs are stored on the heap when they are part of a class (or any reference-type).When structs are not part of a class, they are allocated on the Stack and don’t require garbage collection at all (stack unwinding).Structs have several benefits when it comes to deallocation: Use Structs instead of Classes (sometimes) For more info on the ArrayPool, read Adam Sitnik’s excellent blog post. Much like the ThreadPool with threads, the ArrayPool should be used for short-lived large arrays. Pretty similar, but when running for 1,000 integers: MethodĪs you can imagine, the ArrayPool allocation time stays the same, whereas regular allocation time increases as the size grows. When finished, call (array) to return the buffer back to the shared pool. This returns a regular array, which you can use any way you please. public void ListDynamicCapacity()įor ( int i = 0 i list = new List(Size) įor ( int i = 0 i. That means an additional allocation and deallocation. Whenever the collection reaches its size limit, it will allocate a new larger memory buffer (usually an array double in size). While this functionality is very convenient, it’s not great for memory management. That means they automatically expand in size as you add more items. All those collections have dynamic size capacity. NET provides a lot of great collections types like List, Dictionary, and HashSet. Set initial capacity for dynamic collections This article will show 8 techniques to minimize GC pressure, and by doing so, improve performance. If you’re not familiar with garbage collector fundamentals, I suggest reading this article first. When your app spends more time garbage collecting, it spends less time executing code, thus directly hurting performance. When the GC is pressured, it will spend more time garbage collecting, and these collections will come more frequently. GC Pressure (garbage collector pressure) is when the GC doesn’t keep up with memory deallocations. One such effect is called GC Pressure or Memory Pressure. Poor memory management can hurt performance in many ways. NET application, memory and performance are very much linked. 8 Techniques to Avoid GC Pressure and Improve Performance in C#.