Updated README

This commit is contained in:
Adam Sawicki 2022-03-18 12:40:57 +01:00
parent 5b33438180
commit 4eee6838b7

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@ -30,15 +30,19 @@ This library can help developers to manage memory allocations and resource creat
Additional features:
- Support for resource aliasing (overlap).
- Virtual allocator - possibility to use core allocation algorithm without using real GPU memory, to allocate your own stuff, e.g. sub-allocate pieces of one large buffer.
- Well-documented - description of all classes and functions provided, along with chapters that contain general description and example code.
- Thread-safety: Library is designed to be used in multithreaded code.
- Configuration: Fill optional members of `ALLOCATOR_DESC` structure to provide custom CPU memory allocator and other parameters.
- Customization: Predefine appropriate macros to provide your own implementation of external facilities used by the library, like assert, mutex, and atomic.
- Statistics: Obtain detailed statistics about the amount of memory used, unused, number of allocated blocks, number of allocations etc. - globally and per memory heap type.
- Debug annotations: Associate string name with every allocation.
- JSON dump: Obtain a string in JSON format with detailed map of internal state, including list of allocations and gaps between them.
- Customization and integration with custom engines: Predefine appropriate macros to provide your own implementation of external facilities used by the library, like assert, mutex, and atomic.
- Support for resource aliasing (overlap).
- Custom memory pools: Create a pool with desired parameters (e.g. fixed or limited maximum size, custom `D3D12_HEAP_PROPERTIES` and `D3D12_HEAP_FLAGS`) and allocate memory out of it.
- Linear allocator: Create a pool with linear algorithm and use it for much faster allocations and deallocations in free-at-once, stack, double stack, or ring buffer fashion.
- Defragmentation: Let the library move data around to free some memory blocks and make your allocations better compacted.
- Statistics: Obtain brief or detailed statistics about the amount of memory used, unused, number of allocated heaps, number of allocations etc. - globally and per memory heap type. Current memory usage and budget as reported by the system can also be queried.
- Debug annotations: Associate custom `void* pPrivateData` and debug `LPCWSTR pName` with each allocation.
- JSON dump: Obtain a string in JSON format with detailed map of internal state, including list of allocations, their string names, and gaps between them.
- Convert this JSON dump into a picture to visualize your memory using attached Python script.
- Virtual allocator - an API that exposes the core allocation algorithm to be used without allocating real GPU memory, to allocate your own stuff, e.g. sub-allocate pieces of one large buffer.
# Prerequisites
@ -65,24 +69,21 @@ resourceDesc.SampleDesc.Quality = 0;
resourceDesc.Layout = D3D12_TEXTURE_LAYOUT_UNKNOWN;
resourceDesc.Flags = D3D12_RESOURCE_FLAG_NONE;
D3D12MA::ALLOCATION_DESC allocationDesc = {};
D3D12MA::ALLOCATION_DESC allocDesc = {};
allocDesc.HeapType = D3D12_HEAP_TYPE_DEFAULT;
D3D12Resource* resource;
D3D12MA::Allocation* allocation;
HRESULT hr = allocator->CreateResource(
&allocationDesc,
&resourceDesc,
D3D12_RESOURCE_STATE_COPY_DEST,
NULL,
&allocation,
IID_PPV_ARGS(&resource));
&allocDesc, &resourceDesc,
D3D12_RESOURCE_STATE_COPY_DEST, NULL,
&allocation, IID_PPV_ARGS(&resource));
```
With this one function call:
1. `ID3D12Heap` memory block is allocated if needed.
2. An unused region of the memory block assigned.
2. An unused region of the memory block is reserved for the allocation.
3. `ID3D12Resource` is created as placed resource, bound to this region.
`Allocation` is an object that represents memory assigned to this texture. It can be queried for parameters like offset and size.