Files
acrn-hypervisor/hypervisor
Sainath Grandhi f67ac09141 hv: Handle holes in GSI i.e. Global System Interrupt for multiple IO-APICs
MADT is used to specify the GSI base for each IO-APIC and the number of
interrupt pins per IO-APIC is programmed into Max. Redir. Entry register of
that IO-APIC.

On platforms with multiple IO-APICs, there can be holes in the GSI space.
For example, on a platform with 2 IO-APICs, the following configuration has
a hole (from 24 to 31) in the GSI space.

IO-APIC 1: GSI base - 0, number of pins - 24
IO-APIC 2: GSI base - 32, number of pins - 8

This patch also adjusts the size for variables used to represent the total
number of IO-APICs on the system from uint16_t to uint8_t as the ACPI MADT
uses only 8-bits to indicate the unique IO-APIC IDs.

Tracked-On: #4151
Signed-off-by: Sainath Grandhi <sainath.grandhi@intel.com>
Acked-by: Eddie Dong <eddie.dong@Intel.com>
2020-03-25 09:36:18 +08:00
..
2019-09-05 09:58:47 +08:00
2020-03-24 08:44:20 +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/