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28824c1e74
In the commit of 4e1deab3d9, we changed the
init sequence that init paging first and then init e820 because we worried
about the efi memory map could be beyond 4GB space on some platform.
After we double checked multiboot2 spec, when system boot from multiboot2
protocol, the efi memory map info will be embedded in multiboot info so it
is guaranteed that the efi memory map must be under 4GB space. Consider that
the page table will be allocated in free memory space in future, we have
to change the init sequence back that init e820 first and then init paging.
If we need to support other boot protocol in future that the efi memory map
might be put beyond 4GB, we could have below options:
1. Request bootloader put efi memory map below 4GB;
2. Call EFI_BOOT_SERVICES.GetMemoryMap() before ExitBootServices();
3. Enable a early 64bit page table to get the efi memory map only;
Tracked-On: #5626
Signed-off-by: Victor Sun <victor.sun@intel.com>
ACRN Hypervisor ############### The open source `Project ACRN`_ defines a device hypervisor reference stack and an architecture for running multiple software subsystems, managed securely, on a consolidated system by means of a virtual machine manager. It also defines a reference framework implementation for virtual device emulation, called the "ACRN Device Model". The ACRN Hypervisor is a Type 1 reference hypervisor stack, running directly on the bare-metal hardware, and is suitable for a variety of IoT and embedded device solutions. The ACRN hypervisor addresses the gap that currently exists between datacenter hypervisors, and hard partitioning hypervisors. The ACRN hypervisor architecture partitions the system into different functional domains, with carefully selected guest OS sharing optimizations for IoT and embedded devices. You can find out more about Project ACRN on the `Project ACRN documentation`_ website. .. _`Project ACRN`: https://projectacrn.org .. _`ACRN Hypervisor`: https://github.com/projectacrn/acrn-hypervisor .. _`Project ACRN documentation`: https://projectacrn.github.io/