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https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator
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Fixes in documentation regarding sparse binding.
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@ -42,6 +42,7 @@ Additional features:
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- 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.
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- 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.
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- Support for memory mapping, reference-counted internally. Support for persistently mapped memory: Just allocate with appropriate flag and you get access to mapped pointer.
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- Support for memory mapping, reference-counted internally. Support for persistently mapped memory: Just allocate with appropriate flag and you get access to mapped pointer.
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- Support for non-coherent memory. Functions that flush/invalidate memory. `nonCoherentAtomSize` is respected automatically.
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- Support for non-coherent memory. Functions that flush/invalidate memory. `nonCoherentAtomSize` is respected automatically.
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- Support for sparse binding and sparse residency: Convenience functions that allocate or free multiple memory pages at once.
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- Custom memory pools: Create a pool with desired parameters (e.g. fixed or limited maximum size) and allocate memory out of it.
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- Custom memory pools: Create a pool with desired parameters (e.g. fixed or limited maximum size) and allocate memory out of it.
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- 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.
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- 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.
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- Support for VK_KHR_dedicated_allocation extension: Just enable it and it will be used automatically by the library.
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- Support for VK_KHR_dedicated_allocation extension: Just enable it and it will be used automatically by the library.
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@ -1587,13 +1587,8 @@ The library uses following algorithm for allocation, in order:
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Features deliberately excluded from the scope of this library:
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Features deliberately excluded from the scope of this library:
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- Support for sparse binding and sparse residency. You can still use these
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- Data transfer. Uploading (straming) and downloading data of buffers and images
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features (when supported by the device) with VMA. You just need to do it
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between CPU and GPU memory and related synchronization is responsibility of the user.
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yourself. Allocate memory pages with vmaAllocateMemory().
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Any explicit support for sparse binding/residency would rather
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require another, higher-level library on top of VMA.
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- Data transfer - issuing commands that transfer data between buffers or images, any usage of
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`VkCommandBuffer` or `VkQueue` and related synchronization is responsibility of the user.
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- Allocations for imported/exported external memory. They tend to require
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- Allocations for imported/exported external memory. They tend to require
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explicit memory type index and dedicated allocation anyway, so they don't
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explicit memory type index and dedicated allocation anyway, so they don't
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interact with main features of this library. Such special purpose allocations
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interact with main features of this library. Such special purpose allocations
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