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Currently the vcpu_affinity[] array fixes the vCPU to pCPU mapping. While the new cpu_affinity_bitmap doesn't explicitly sepcify this mapping, instead, it implicitly assumes that vCPU0 maps to the pCPU with lowest pCPU ID, vCPU1 maps to the second lowest pCPU ID, and so on. This makes it possible for post-launched VM to run vCPUs on a subset of these pCPUs only, and not all of them. acrn-dm may launch post-launched VMs with the current approach: indicate VM UUID and hypervisor launches all VCPUs from the PCPUs that are masked in cpu_affinity_bitmap. Also acrn-dm can choose to launch the VM on a subset of PCPUs that is defined in cpu_affinity_bitmap. In this way, acrn-dm must specify the subset of PCPUs in the CREATE_VM hypercall. Additionally, with this change, a guest's vcpu_num can be easily calculated from cpu_affinity_bitmap, so don't assign vcpu_num in vm_configuration.c. Tracked-On: #4616 Signed-off-by: Zide Chen <zide.chen@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/