Platform hardening for bootloaders via reference firmware

    公开(公告)号:US12124856B2

    公开(公告)日:2024-10-22

    申请号:US17211549

    申请日:2021-03-24

    Abstract: During a computing system boot sequence, reference firmware provided by a computing system component supplies Advanced Configuration and Power Interface (ACPI) code that generates ACPI tables and definition blocks to a bootloader. During a boot sequence, the reference firmware receives an indication from the bootloader which components the reference firmware is to initialize. As part of component initialization performed by the reference firmware, the reference firmware populates hand-off data structures (e.g., hand-off blocks (HOBs)) with ACPI code (AML code) that, when executed by the bootloader, generates and populates ACPI tables (e.g., DSDT and SSDT tables) and definition blocks with information pertinent to the initialization and runtime management of computing system components. Component initialization and runtime configuration workarounds can be implemented in the bootloader incorporating reference firmware updates provided by the component vendor.

    ENHANCED COLLABORATION BETWEEN USER EQUPIMENT AND NETWORK TO FACILITATE MACHINE LEARNING

    公开(公告)号:US20240349082A1

    公开(公告)日:2024-10-17

    申请号:US18552641

    申请日:2022-04-29

    CPC classification number: H04W24/02 H04W60/04

    Abstract: This disclosure describes systems, methods, and devices related to collaboration between user equipment (UE) and network for machine learning. A radio access network (RAN) node B device may transmit, to the CE device, an indication that the node B device supports machine learning; identify a service registration, received from the UE device, indicating that the UE device requests machine learning support from the node B device; transmit, to the UE device, a request for information associated with the UE device, the information associated with at least one of hardware capabilities or machine learning capabilities of the UE device; identify the information received from the UE based on the request for information; and transmit, to the UE device, a machine learning configuration for use by the UE device, wherein the machine learning configuration is based on the information.

    MULTI-HOST ISOLATION IN A SHARED NETWORKING PIPELINE

    公开(公告)号:US20240348562A1

    公开(公告)日:2024-10-17

    申请号:US18757825

    申请日:2024-06-28

    CPC classification number: H04L49/3063 H04L49/9005 H04L49/70

    Abstract: A shared networking pipeline is implemented by a network interface device and shared by a plurality of host devices. A pool of shared buffers of a network interface device correspond to one or more stages in the pipeline and are configured to allocate entries to the plurality of host devices based on the respective shares of the shared packet processing pipeline. Data is buffered associated with traffic of a first one of the plurality of host devices in a first subset of shared buffers, where the traffic is to proceed from a first stage to a second stage in the shared packet processing pipeline, and the data is associated with processing of the traffic by the second stage. Forward progress of the traffic is to be prevented from the first stage to the second stage when the first subset of entries are occupied.

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