Files
acrn-hypervisor/misc
Vijay Dhanraj cdac28e84d acrn-config: Update platform max CLOS value to be least common
value among RDT resources.

This patch identifies the least common supported clos value
from multiple RDT resource. This is done so as to have
consistent capabilities across all resource allocations.

From SDM, "The number of CLOS supported for the MBA feature
may or may not align with other resources such as L3 CAT. In
cases where the RDT features support different numbers of
CLOS the lowest numerical CLOS support the common set of
features, while higher CLOS may support a subset. For instance,
if L3 CAT supports 8 CLOS while MBA supports 4 CLOS, all 8 CLOS
would have L3 CAT masks available for cache control, but the
upper 4 CLOS would not offer MBA support. In this case the upper
4 CLOS would not be subject to any throttling control. Software
can manage supported resources / CLOS in order to either have
1) consistent capabilities across CLOS by using the common subset
or 2) enable more flexibility by selectively applying resource
control where needed based on careful CLOS and thread mapping".

We decided to go with option #1, as it will be more consistent
and less prone to user errorw hen programming the resource mask
MSRs.

Tracked-On: #3715
Signed-off-by: Vijay Dhanraj <vijay.dhanraj@intel.com>
Acked-by: Victor Sun <victor.sun@intel.com>
2020-03-02 16:45:01 +08:00
..

ACRN tools
##########

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".

This folder holds the source to a number of tools that facilitate the
management, debugging, profiling, and logging of multi-OS systems based on
ACRN.

You can find out more about Project ACRN and its set of tools on the
`Project ACRN documentation`_ website.

.. _`Project ACRN`: https://projectacrn.org
.. _`Project ACRN documentation`: https://projectacrn.github.io/