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For platforms that do not support XSAVES/XRSTORS instructions, like QEMU, executing these instructions causes #UD. This patch adds the check before the execution of XSAVES/XRSTORS instructions. It also refines the logic inside rstore_xsave_area for the following reason: If XSAVES/XRSTORS instructions are supported, restore XSAVE area if any of the following conditions is met: 1. "vcpu->launched" is false (state initialization for guest) 2. "vcpu->arch.xsave_enabled" is true (state restoring for guest) * Before vCPU is launched, condition 1 is satisfied. * After vCPU is launched, condition 2 is satisfied because is_valid_xsave_combination() guarantees that "vcpu->arch.xsave_enabled" is consistent with pcpu_has_cap(X86_FEATURE_XSAVES). Therefore, the check against "vcpu->launched" and "vcpu->arch.xsave_enabled" can be eliminated here. Tracked-On: #6481 Signed-off-by: Shiqing Gao <shiqing.gao@intel.com> Acked-by: Eddie Dong <eddie.dong@Intel.com>
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/