acrn-hypervisor

History

Junjie Mao 2a8b80d0c1 config_tools: board_inspector: guess L3 CAT parameters if not reported via CPUID On some platforms the L3 CAT capabilities are not reported via CPUID even though they are present. The public real-time tuning guide suggests to try accessing the MSRs directly to detect if L3 CAT is available or not. This patch implements such guessing logic in the board inspector in order to enable CAT for users with those kinds of platforms. Tracked-On: #7948 Signed-off-by: Junjie Mao <junjie.mao@intel.com>		2022-08-05 07:36:40 +08:00
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config_tools	config_tools: board_inspector: guess L3 CAT parameters if not reported via CPUID	2022-08-05 07:36:40 +08:00
debug_tools	Update copyright year range in code headers	2022-07-15 11:48:35 +08:00
efi-stub	Update copyright year range in code headers	2022-07-15 11:48:35 +08:00
hv_prebuild	Update copyright year range in code headers	2022-07-15 11:48:35 +08:00
packaging	Update copyright year range in code headers	2022-07-15 11:48:35 +08:00
sample_application	SampleApplication: Add Makefile for the entire SampleApplication	2022-08-04 14:22:39 +08:00
services	Update copyright year range in code headers	2022-07-15 11:48:35 +08:00
Makefile	tools: do not build life_mngr by default	2021-03-29 15:38:29 +08:00
README.rst	doc: fix all headings to use title case	2021-02-13 12:37:49 -08:00

README.rst

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/