Vulkan Memory Management : How to write your own allocator

Hi ! This article will deal with the memory management in Vulkan. But first, I am going to tell you what happened in my life.

State of my life

Again, it has been more than one month I did not write anything. So, where am I? I am in the last year of Télécom SudParis. I am following High Tech Imaging courses. It is the image specialization in my school. The funny part of it is : in parallel, I am a lecturer in a video games specialization. I taught OpenGL (3.3 because I cannot make an OpenGL 4 courses (everyone does not have a good hardware for that)). I got an internship in Dassault Systemes (France). It will begin the first February. I will work on the soft shadow engine (OpenGL 4.5).


To begin, some articles that I wrote before this one can contain mistakes, or some things are not well explained, or not very optimized.

Why came back to Vulkan?

I came back to Vulkan because I wanted to make one of the first “amateur” renderer using Vulkan. Also, I wanted to have a better improvement of memory management, memory barrier and other joys like that. Moreover, I made a repository with “a lot” of Vulkan Example : Vulkan example repository.
I did not mean to replace the Sascha Willems ones. But I propose my way to do it, in C++, using Vulkan HPP.

Memory Management with Vulkan

Different kind of memory


One graphic card can read memory from different heap. It can read memory from its own heap, or the system heap (RAM).


It exists a different kind of memory type. For example, it exists memories that are host cached, or host coherent, or device local and other.

Host and device

This memory resides in the RAM. This heap should have generally one (or several) type that own the bit “HOST_VISIBLE”. It means to Vulkan that it could be mapped persistently. Going that way, you get the pointer and you can write from the CPU on it.

Device Local

This memory resides on the graphic card. It is freaking fast and is not generally host_visible. That means you have to use a staging resource to write something to it or use the GPU itself.

Allocation in Vulkan

In Vulkan, the number of allocation per heap is driver limited. That means you can not do a lot of allocation and you must not use one allocation by buffer or image but one allocation for several buffers and images.
In this article, I will not take care about the CPU cache or anything like that, I will only focus my explanations on how to have the better from the GPU-side.
Memory Managements : good and bad

How will we do it?

Memory Managements : device allocator
As you can see, we have a block, that could represent the memory for one buffer, or for one image, we have a chunk that represents one allocation (via vkAllocateMemory) and we have a DeviceAllocator that manages all chunks.


I defined a block as follow :

A block, as it is named, defines a little region within one allocation.
So, it has an offset, one size, and a boolean to know if it is used or not.
It may own a ptr if it is an


A chunk is a memory region that contains a list of blocks. It represents a single allocation.
What a chunk could let us to do?

  1. Allocate a block
  2. Deallocate a block
  3. Tell us if the block is inside the chunk

That gives us:

One chunk allocates its memory inside the constructor.

Since a deallocation is really easy (only to put the block to free), one allocation requires a bit of attention. You need to check if the block is free, and if it is free, you need to check for its size, and, if necessary, create another block if the size of the allocation is less than the available size. You also need take care about memory alignment !

Chunk Allocator

Maybe it is bad-named, but the chunk allocator let us to separate the creation of one chunk from the chunk itself. We give it one size and it operates all the verifications we need.

Device Allocator

I began to make an abstract class for Vulkan allocation :

As you noticed, it is really easy. You can allocate or deallocate from this allocator. Next, I created a DeviceAllocator that inherits from AbstractAllocator.

This allocator contains a list of chunks, and contains one ChunkAllocator to allocate chunks.
The allocation is really easy. We have to check if it exists a “good chunk” and if we can allocate from it. Otherwise, we create another chunk and it is over !


Since I came back to Vulkan, I really had a better understanding of this new API. I can write article in better quality than in march.
I hope you enjoyed this remake of memory management.
My next article will be about buffer, and staging resource. It will be a little article. I will write as well an article that explains how to load textures and their mipmaps.


Vulkan Memory Management

Kisses and see you soon (probably this week !)

11 thoughts on “Vulkan Memory Management : How to write your own allocator”

    1. This class make classes that derive from it non copyable :
      struct NotCopyable {
      NotCopyable() = default;
      NotCopyable(NotCopyable const &NotCopyable) = delete;
      NotCopyable &operator =(NotCopyable const &NotCopyable) = delete;

    1. I do not have so much to tell about memory alignment…
      Just keep in mind that the offset must be divisible by the alignment :).

  1. Different types of buffer require different alighment, coherent, allocation/deallocation frequency, it’s may hard to manage them via some allocators IMO

    1. Hello ! It is true ! You may/must use several allocators / memory pools fitting your different needs to be really efficient 😉

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