Files
acrn-hypervisor/hypervisor
Junjie Mao 83a938bae6 HV: treewide: fix violations of coding guideline C-TY-27 & C-TY-28
The coding guideline rules C-TY-27 and C-TY-28, combined, requires that
assignment and arithmetic operations shall be applied only on operands of the
same kind. This patch either adds explicit type casts or adjust types of
variables to align the types of operands.

The only semantic change introduced by this patch is the promotion of the
second argument of set_vmcs_bit() and clear_vmcs_bit() to
uint64_t (formerly uint32_t). This avoids clear_vmcs_bit() to accidentally
clears the upper 32 bits of the requested VMCS field.

Other than that, this patch has no semantic change. Specifically this patch
is not meant to fix buggy narrowing operations, only to make these
operations explicit.

Tracked-On: #6776
Signed-off-by: Junjie Mao <junjie.mao@intel.com>
Acked-by: Eddie Dong <eddie.dong@intel.com>
2021-11-04 18:15:47 +08:00
..
2021-10-14 15:04:36 +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/