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Update README.md to better describe extensions supported

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Adam Sawicki 2020-03-23 15:38:34 +01:00
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@ -41,14 +41,16 @@ Additional features:
- Configuration: Fill optional members of CreateInfo structure to provide custom CPU memory allocator, pointers to Vulkan functions and other parameters.
- Customization: Predefine appropriate macros to provide your own implementation of all external facilities used by the library, from assert, mutex, and atomic, to vector and linked list.
- Support for memory mapping, reference-counted internally. Support for persistently mapped memory: Just allocate with appropriate flag and you get access to mapped pointer.
- Support for memory budget. VK_EXT_memory_budget extension is used internally if available to query for current usage and budget. If not available, it falls back to an estimation based on memory heap sizes.
- Support for non-coherent memory. Functions that flush/invalidate memory. `nonCoherentAtomSize` is respected automatically.
- Support for sparse binding and sparse residency: Convenience functions that allocate or free multiple memory pages at once.
- Custom memory pools: Create a pool with desired parameters (e.g. fixed or limited maximum size) 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.
- Support for Vulkan 1.0, 1.1, 1.2.
- Support for VK_KHR_dedicated_allocation extension: Just enable it and it will be used automatically by the library.
- Support for VK_AMD_device_coherent_memory extension.
- Support for extensions (and equivalent functionality included in new Vulkan versions):
- VK_EXT_memory_budget: Used internally if available to query for current usage and budget. If not available, it falls back to an estimation based on memory heap sizes.
- VK_KHR_dedicated_allocation: Just enable it and it will be used automatically by the library.
- VK_AMD_device_coherent_memory
- VK_EXT_buffer_device_address / VK_KHR_buffer_device_address
- Defragmentation of GPU and CPU memory: Let the library move data around to free some memory blocks and make your allocations better compacted.
- Lost allocations: Allocate memory with appropriate flags and let the library remove allocations that are not used for many frames to make room for new ones.
- Statistics: Obtain detailed statistics about the amount of memory used, unused, number of allocated blocks, number of allocations etc. - globally, per memory heap, and per memory type.