Simple patterns

Render targets

When: Any resources that you frequently write and read on GPU, e.g. images used as color attachments (aka "render targets"), depth-stencil attachments, images/buffers used as storage image/buffer (aka "Unordered Access View (UAV)").

What to do: Create them in video memory that is fastest to access from GPU using VMA_MEMORY_USAGE_GPU_ONLY.

Consider using VK_KHR_dedicated_allocation extension and/or manually creating them as dedicated allocations using VMA_ALLOCATION_CREATE_DEDICATED_MEMORY_BIT, especially if they are large or if you plan to destroy and recreate them e.g. when display resolution changes. Prefer to create such resources first and all other GPU resources (like textures and vertex buffers) later.

Immutable resources

When: Any resources that you fill on CPU only once (aka "immutable") or infrequently and then read frequently on GPU, e.g. textures, vertex and index buffers, constant buffers that don't change often.

What to do: Create them in video memory that is fastest to access from GPU using VMA_MEMORY_USAGE_GPU_ONLY.

To initialize content of such resource, create a CPU-side (aka "staging") copy of it in system memory - VMA_MEMORY_USAGE_CPU_ONLY, map it, fill it, and submit a transfer from it to the GPU resource. You can keep the staging copy if you need it for another upload transfer in the future. If you don't, you can destroy it or reuse this buffer for uploading different resource after the transfer finishes.

Prefer to create just buffers in system memory rather than images, even for uploading textures. Use vkCmdCopyBufferToImage(). Dont use images with VK_IMAGE_TILING_LINEAR.

Dynamic resources

When: Any resources that change frequently (aka "dynamic"), e.g. every frame or every draw call, written on CPU, read on GPU.

What to do: Create them using VMA_MEMORY_USAGE_CPU_TO_GPU. You can map it and write to it directly on CPU, as well as read from it on GPU.

This is a more complex situation. Different solutions are possible, and the best one depends on specific GPU type, but you can use this simple approach for the start. Prefer to write to such resource sequentially (e.g. using memcpy). Don't perform random access or any reads from it on CPU, as it may be very slow.

Readback

When: Resources that contain data written by GPU that you want to read back on CPU, e.g. results of some computations.

What to do: Create them using VMA_MEMORY_USAGE_GPU_TO_CPU. You can write to them directly on GPU, as well as map and read them on CPU.

Advanced patterns

Detecting integrated graphics

You can support integrated graphics (like Intel HD Graphics, AMD APU) better by detecting it in Vulkan. To do it, call vkGetPhysicalDeviceProperties(), inspect VkPhysicalDeviceProperties::deviceType and look for VK_PHYSICAL_DEVICE_TYPE_INTEGRATED_GPU. When you find it, you can assume that memory is unified and all memory types are comparably fast to access from GPU, regardless of VK_MEMORY_PROPERTY_DEVICE_LOCAL_BIT.

You can then sum up sizes of all available memory heaps and treat them as useful for your GPU resources, instead of only DEVICE_LOCAL ones. You can also prefer to create your resources in memory types that are HOST_VISIBLE to map them directly instead of submitting explicit transfer (see below).

Direct access versus transfer

For resources that you frequently write on CPU and read on GPU, many solutions are possible:

Create one copy in video memory using VMA_MEMORY_USAGE_GPU_ONLY, second copy in system memory using VMA_MEMORY_USAGE_CPU_ONLY and submit explicit tranfer each time.
Create just single copy using VMA_MEMORY_USAGE_CPU_TO_GPU, map it and fill it on CPU, read it directly on GPU.
Create just single copy using VMA_MEMORY_USAGE_CPU_ONLY, map it and fill it on CPU, read it directly on GPU.

Which solution is the most efficient depends on your resource and especially on the GPU. It is best to measure it and then make the decision. Some general recommendations:

On integrated graphics use (2) or (3) to avoid unnecesary time and memory overhead related to using a second copy and making transfer.
For small resources (e.g. constant buffers) use (2). Discrete AMD cards have special 256 MiB pool of video memory that is directly mappable. Even if the resource ends up in system memory, its data may be cached on GPU after first fetch over PCIe bus.
For larger resources (e.g. textures), decide between (1) and (2). You may want to differentiate NVIDIA and AMD, e.g. by looking for memory type that is both DEVICE_LOCAL and HOST_VISIBLE. When you find it, use (2), otherwise use (1).

Similarly, for resources that you frequently write on GPU and read on CPU, multiple solutions are possible:

Create one copy in video memory using VMA_MEMORY_USAGE_GPU_ONLY, second copy in system memory using VMA_MEMORY_USAGE_GPU_TO_CPU and submit explicit tranfer each time.
Create just single copy using VMA_MEMORY_USAGE_GPU_TO_CPU, write to it directly on GPU, map it and read it on CPU.

You should take some measurements to decide which option is faster in case of your specific resource.

If you don't want to specialize your code for specific types of GPUs, you can still make an simple optimization for cases when your resource ends up in mappable memory to use it directly in this case instead of creating CPU-side staging copy. For details see Finding out if memory is mappable.