Abstract: A system for capturing hardware telemetry includes a hardware component encoded with hardware logic for emitting a telemetry stream into memory of a computing device. The system further includes a hardware component driver stored in the memory that is configured to parse the telemetry stream, populate telemetry structures defined within a telemetry event schema based on values parsed from the telemetry stream, and generate a telemetry record including the populated telemetry structures.

Abstract: Embodiments of the present disclosure include systems and methods for providing a scalable controller for managing data storages. A system includes a non-volatile memory controller comprising a set of data queues and a set of administrative queues. The system also includes a set of physical storages communicatively coupled to the non-volatile memory controller. A set of logical storages are created from the set of physical storages. A primary non-volatile memory controller is created from the non-volatile memory controller. The primary non-volatile memory controller comprising an administrative queue in the set of administrative queues, a first subset of the set of data queues, and a first subset of the set of logical storages. An extended non-volatile memory controller is created from the non-volatile memory controller. The extended non-volatile memory controller comprising a second subset of the set of data queues and a second subset of the set of logical storages.

Abstract: A system for capturing hardware telemetry includes a hardware component encoded with hardware logic for emitting a telemetry stream into memory of a computing device. The system further includes a hardware component driver stored in the memory that is configured to parse the telemetry stream, populate telemetry structures defined within a telemetry event schema based on values parsed from the telemetry stream, and generate a telemetry record including the populated telemetry structures.

Abstract: A system for capturing hardware telemetry includes a hardware component encoded with hardware logic for emitting a telemetry stream into memory of a computing device. The system further includes a hardware component driver stored in the memory that is configured to parse the telemetry stream, populate telemetry structures defined within a telemetry event schema based on values parsed from the telemetry stream, and generate a telemetry record including the populated telemetry structures.

Abstract: Examples described herein generally relate to hosting virtual memory backed kernel isolated containers. A server includes at least one physical processor and at least one physical computer memory addressable via physical memory addresses. The at least one physical computer memory stores executable code configured to provide at least one host including a kernel and at least one kernel isolated container within the at least one host. The host allocates virtual memory having virtual memory addresses to a respective container of the at least one kernel isolated container. The host pins a subset of the virtual memory addresses to a subset of the physical memory addresses. The host performs a direct memory access operation or device memory-mapped input-output operation of the respective container on the subset of the physical memory addresses. At least part of the physical computer memory that is not pinned is oversubscribed.

Abstract: A system for capturing hardware telemetry includes a hardware component encoded with hardware logic for emitting a telemetry stream into memory of a computing device. The system further includes a hardware component driver stored in the memory that is configured to parse the telemetry stream, populate telemetry structures defined within a telemetry event schema based on values parsed from the telemetry stream, and generate a telemetry record including the populated telemetry structures.

Abstract: Techniques for graphics processing unit (GPU) partitioning for virtualization are described herein. In one or more implementations, a GPU partitioning manager of a host device obtains a request for a virtual machine having GPU functionality. In particular, the request specifies the GPU functionality in terms of different GPU capabilities. These different capabilities correspond to segments of a GPU model that represents GPU functionality and is used to govern interactions between virtual machines and GPUs. The GPU partitioning manager determines whether GPUs of the host device are available to satisfy the request based on the specified capabilities. If so, the GPU partitioning manager allocates a portion of the determined available GPUs to the virtual machine to configure the virtual machine with a GPU partition having the functionality. The virtual machine configured with the GPU partition can then be exposed to provide GPU-processed data to a GPU partition requestor.

Abstract: A system for capturing hardware telemetry includes a hardware component encoded with hardware logic for emitting a telemetry stream into memory of a computing device. The system further includes a hardware component driver stored in the memory that is configured to parse the telemetry stream, populate telemetry structures defined within a telemetry event schema based on values parsed from the telemetry stream, and generate a telemetry record including the populated telemetry structures.

Abstract: A technique is described herein for updating the logic used by a hardware accelerator provided by a computing device. In one implementation, the technique provides a pass-through mode which allows a virtual machine (provided by the computing device) to directly interact with the hardware accelerator. Upon the commencement of an updating operation, the technique instructs an emulator to begin emulating the function(s) of the hardware accelerator and the resultant effects of these functions, without interaction with the actual hardware accelerator. When the updating operation finishes, the technique re-enables the pass-through mode. By virtue of the above-summarized manner of operation, the technique allows the computing device to perform the function(s) associated with the hardware accelerator while the hardware accelerator is being updated. In one case, the technique disables the pass-through mode by modifying address-mapping information used by the virtual machine to access system physical addresses.

Abstract: Techniques for graphics processing unit (GPU) partitioning for virtualization are described herein. In one or more implementations, a GPU partitioning manager of a host device obtains a request for a virtual machine having GPU functionality. In particular, the request specifies the GPU functionality in terms of different GPU capabilities. These different capabilities correspond to segments of a GPU model that represents GPU functionality and is used to govern interactions between virtual machines and GPUs. The GPU partitioning manager determines whether GPUs of the host device are available to satisfy the request based on the specified capabilities. If so, the GPU partitioning manager allocates a portion of the determined available GPUs to the virtual machine to configure the virtual machine with a GPU partition having the functionality. The virtual machine configured with the GPU partition can then be exposed to provide GPU-processed data to a GPU partition requestor.

Abstract: A technique is described herein for updating the logic used by a hardware accelerator provided by a computing device. In one implementation, the technique provides a pass-through mode which allows a virtual machine (provided by the computing device) to directly interact with the hardware accelerator. Upon the commencement of an updating operation, the technique instructs an emulator to begin emulating the function(s) of the hardware accelerator and the resultant effects of these functions, without interaction with the actual hardware accelerator. When the updating operation finishes, the technique re-enables the pass-through mode. By virtue of the above-summarized manner of operation, the technique allows the computing device to perform the function(s) associated with the hardware accelerator while the hardware accelerator is being updated. In one case, the technique disables the pass-through mode by modifying address-mapping information used by the virtual machine to access system physical addresses.

Abstract: Techniques for graphics processing unit (GPU) partitioning for virtualization are described herein. In one or more implementations, a GPU partitioning manager of a host device obtains a request for a virtual machine having GPU functionality. In particular, the request specifies the GPU functionality in terms of different GPU capabilities. These different capabilities correspond to segments of a GPU model that represents GPU functionality and is used to govern interactions between virtual machines and GPUs. The GPU partitioning manager determines whether GPUs of the host device are available to satisfy the request based on the specified capabilities. If so, the GPU partitioning manager allocates a portion of the determined available GPUs to the virtual machine to configure the virtual machine with a GPU partition having the functionality. The virtual machine configured with the GPU partition can then be exposed to provide GPU-processed data to a GPU partition requestor.

Abstract: Techniques for graphics processing unit (GPU) partitioning for virtualization are described herein. In one or more implementations, a GPU partitioning manager of a host device obtains a request for a virtual machine having GPU functionality. In particular, the request specifies the GPU functionality in terms of different GPU capabilities. These different capabilities correspond to segments of a GPU model that represents GPU functionality and is used to govern interactions between virtual machines and GPUs. The GPU partitioning manager determines whether GPUs of the host device are available to satisfy the request based on the specified capabilities. If so, the GPU partitioning manager allocates a portion of the determined available GPUs to the virtual machine to configure the virtual machine with a GPU partition having the functionality. The virtual machine configured with the GPU partition can then be exposed to provide GPU-processed data to a GPU partition requestor.

Abstract: Techniques for graphics processing unit (GPU) partitioning for virtualization are described herein. In one or more implementations, a GPU partitioning manager of a host device obtains a request for a virtual machine having GPU functionality. In particular, the request specifies the GPU functionality in terms of different GPU capabilities. These different capabilities correspond to segments of a GPU model that represents GPU functionality and is used to govern interactions between virtual machines and GPUs. The GPU partitioning manager determines whether GPUs of the host device are available to satisfy the request based on the specified capabilities. If so, the GPU partitioning manager allocates a portion of the determined available GPUs to the virtual machine to configure the virtual machine with a GPU partition having the functionality. The virtual machine configured with the GPU partition can then be exposed to provide GPU-processed data to a GPU partition requestor.

Abstract: Techniques for graphics processing unit (GPU) partitioning for virtualization are described herein. In one or more implementations, a GPU partitioning manager of a host device obtains a request for a virtual machine having GPU functionality. In particular, the request specifies the GPU functionality in terms of different GPU capabilities. These different capabilities correspond to segments of a GPU model that represents GPU functionality and is used to govern interactions between virtual machines and GPUs. The GPU partitioning manager determines whether GPUs of the host device are available to satisfy the request based on the specified capabilities. If so, the GPU partitioning manager allocates a portion of the determined available GPUs to the virtual machine to configure the virtual machine with a GPU partition having the functionality. The virtual machine configured with the GPU partition can then be exposed to provide GPU-processed data to a GPU partition requestor.