Files
acrn-hypervisor/hypervisor
Shuo A Liu 3110e70d0a hv: nested: INVEPT emulation supports shadow EPT
L1 VM changes the guest EPT and do INVEPT to invalidate the previous
TLB cache of EPT entries. The shadow EPT replies on INVEPT instruction
to do the update.

The target shadow EPTs can be found according to the 'type' of INVEPT.
Here are two types and their target shadow EPT,
  1) Single-context invalidation
     Get the EPTP from the INVEPT descriptor. Then find the target
     shadow EPT.
  2) Global invalidation
     All shadow EPTs of the L1 VM.

The INVEPT emulation handler invalidate all the EPT entries of the
target shadow EPTs.

Tracked-On: #5923
Signed-off-by: Sainath Grandhi <sainath.grandhi@intel.com>
Signed-off-by: Zide Chen <zide.chen@intel.com>
Signed-off-by: Shuo A Liu <shuo.a.liu@intel.com>
Reviewed-by: Jason Chen CJ <jason.cj.chen@intel.com>
Acked-by: Eddie Dong <eddie.dong@intel.com>
2021-06-04 13:53:47 +08:00
..
2021-06-01 08:22:20 +08:00
2021-05-19 13:54:24 +08:00

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/