Abstract: A computer system includes an operating system having a kernel and configured to launch a plurality of computing processes. The system also includes a plurality of graphics processing units (GPUs), a front-end driver module, and a plurality of back-end driver modules. The GPUs are configured to execute instructions on behalf of the computing processes subject to a GPU service request. The front-end driver module is loaded into the kernel and configured to receive the GPU service request from one of the computing processes. Each back-end driver module is associated with one or more of the GPUs and configured to receive the GPU service request from the front-end driver module and pass the GPU service request to an associated GPU.

Abstract: A method for capturing information in a graphics processing unit (GPU) pass-through environment. The method includes installing a guest driver of a dedicated GPU within an assigned virtual machine. The GPU is assigned by a hypervisor configured for managing a plurality of virtual machines. The guest driver directly controls the GPU to render a plurality of frames. The method includes capturing a first frame stored in a frame buffer of the GPU. The method includes storing the first frame for later access, such as for management of the virtual machine by viewing a desktop captured in the first frame.

Abstract: A method includes loading a driver component on a hypervisor of a computing system including a Graphics Processing Unit (GPU) without hardware support for virtual interrupt delivery, and loading an instance of the driver component on each of a number of VMs consolidated on a computing platform of the computing system. The method also includes allocating a memory page associated with work completion by the each of the number of VMs thereto through a driver stack executing on the hypervisor, and sharing the memory page with the driver component executing on the hypervisor. Further, the method includes delivering, through the hypervisor, an interrupt from the GPU to an appropriate VM based on inspecting the memory page associated with the work completion by the each of the number of VMs.

Abstract: A computer system includes an operating system having a kernel and configured to launch a plurality of computing processes. The system also includes a plurality of graphics processing units (GPUs), a front-end driver module, and a plurality of back-end driver modules. The GPUs are configured to execute instructions on behalf of the computing processes subject to a GPU service request. The front-end driver module is loaded into the kernel and configured to receive the GPU service request from one of the computing processes. Each back-end driver module is associated with one or more of the GPUs and configured to receive the GPU service request from the front-end driver module and pass the GPU service request to an associated GPU.

Abstract: A method includes executing a driver component on a hypervisor of a computing platform including a graphics processing unit (GPU) executing a number of engines thereon, and executing an instance of the driver component in each of a number of VMs consolidated on the computing platform. The method also includes defining, through the hypervisor, a data path between a VM and a subset of the engines of the GPU in a configuration register associated with the VM in accordance with a requirement of an application executing on the VM, and reading, through the instance of the driver component in the VM, an emulated version of the configuration register during loading thereof. Further, the method includes limiting one or more processing functionalities provided to the VM based on solely exposing the subset of the engines to the application in accordance with the data path definition in the configuration register.

Abstract: A method includes loading a driver component on a hypervisor of a computing system including a Graphics Processing Unit (GPU) without hardware support for virtual interrupt delivery, and loading an instance of the driver component on each of a number of VMs consolidated on a computing platform of the computing system. The method also includes allocating a memory page associated with work completion by the each of the number of VMs thereto through a driver stack executing on the hypervisor, and sharing the memory page with the driver component executing on the hypervisor. Further, the method includes delivering, through the hypervisor, an interrupt from the GPU to an appropriate VM based on inspecting the memory page associated with the work completion by the each of the number of VMs.