buddy_alloc VS VulkanMemoryAllocator

If you need a sub-allocator with predictable performance feel free to give it a try. The code is here and it is licensed under the 0BSD license, making it as lax and as close to public domain as possible. Comments, issues and PRs are always welcomed and appreciated. Thanks!

I maintain a project that's not technically MISRA compliant (due to being a memory allocator and MISRA disallowing the very idea) and I keep it at 100% test coverage with support for multiple compilers and operating systems. Over time I had a few users reporting back - since it's working for them I count that as success. Is it wildly popular ? Of course not, but it doesn't have to be.

You are right about the tests - they are written with 64-bit in mind. I ought to rework them to switch sizes based on arch but that will take a weekend. I've filed https://github.com/spaskalev/buddy_alloc/issues/19 to track this.

I also maintain a application-based malloc (that doesn't do obtaining and releasing memory through the OS, just managing sub-diving a larger memory block into smaller requests) at https://github.com/spaskalev/buddy_alloc - feel free to ping me with any questions about it.

I'm the author of https://github.com/spaskalev/buddy_alloc - a custom memory allocator for C (modern C11, works with C++ as well) designed for predictable and repeatable performance. It is suitable for use in embedded, games and any other system with soft or hard real-time demands. It has 100% line and branch test coverage and uses a fixed amount of space on the call stack when called. Recently the project had its first external contribution as well. Cheers!

I made a memory allocator that turned out rather neat - https://github.com/spaskalev/buddy_alloc

Hello - working on a Vulkan renderer and I ran into a topic I don't understand. I use the Vulkan Memory Allocator and upon updating my local targeted Vulkan SDK to 1.3.250 from 1.3.204, I receive exactly the same error as this user: https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator/issues/280 Error: The procedure entry point vkGetDeviceBufferMemoryRequirements could not be located in the DLL.

For problem 1 I would recommend looking into Vulkan Memory Allocator: https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator The general idea is to allocate large chunks of memory, then sub-allocate out of those when buffers are required. This is nice for several reasons: - Memory allocation can be slow and involve system calls. Sub-allocating does not require system calls - Your memory will be more cache-friendly as all your buffers will be relatively adjacent - There is a finite number of unique allocations you can have. Performing larger allocations keeps your usage lower

Integrated Vulkan Memory Allocator, making all GPU memory allocations much easier to work with.

Seems like it was initially added more than 2 years ago, they really should release more often :P

Use VMA, originally created by AMD, never worry about device memory and device memory alignment again.

I am using VMA for memory allocation with the VMA_MEMORY_USAGE_GPU_TO_CPU usage flag. That means that the flags VK_MEMORY_PROPERTY_HOST_VISIBLE_BIT and VK_MEMORY_PROPERTY_HOST_CACHED_BIT are already set.

Repo for Vulkan Memory mangement (AMD): https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator

Since it's a header-only lib, you could always try cloning the latest from [GitHub](https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator) and see if the problem continues with that version.

Alternatively, you could just use an existing allocator library, a popular choice is VMA: https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator

Personally, I'd recommend (VMA)[https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator] if you don't want to deal with all of this yourself.