Secure computer vision processing

    公开(公告)号:US12045362B2

    公开(公告)日:2024-07-23

    申请号:US17889956

    申请日:2022-08-17

    CPC classification number: G06F21/6218 G06V10/955

    Abstract: A computer vision processor in an image cluster defines a fenced memory region (FMR) that controls access to image data stored in a first portion of a trusted memory region (TMR). The computer vision processor receives FMR requests from an application implemented in a processing cluster. The FMR requests are to access the image data in the first portion of the TMR. The computer vision processor selectively allows the requesting application to access the image data. In some cases, the computer vision processor acquires the image data and stores the image data in the first portion of the TMR, such as buffers in the TMR. A data fabric selectively permits the image processing application to access the data stored in the TMR based on whether the image cluster has opened or closed the FMR for the portion of the TMR.

    Real-time GPU rendering with performance guaranteed power management

    公开(公告)号:US11954792B2

    公开(公告)日:2024-04-09

    申请号:US17408034

    申请日:2021-08-20

    Abstract: Systems, apparatuses, and methods for performing real-time video rendering with performance guaranteed power management are disclosed. A system includes at least a software driver, a power management unit, and a plurality of processing elements for performing rendering tasks. The system receives inputs which correspond to rendering tasks which need to be performed. The software driver monitors the inputs that are received and the number of rendering tasks to which they correspond. The software driver also monitors the amount of time remaining until the next video synchronization signal. The software driver determines which performance setting will minimize power consumption while still allowing enough time to finish the rendering tasks for the current frame before the next video synchronization signal. Then, the software driver causes the power management unit to provide this performance setting to the plurality of processing elements as they perform the rendering tasks for the current frame.

    Hybrid configuration management using bootloader translation

    公开(公告)号:US10824436B2

    公开(公告)日:2020-11-03

    申请号:US16219273

    申请日:2018-12-13

    Abstract: A hybrid co-processing system including both complex instruction set computer (CISC) architecture-based processing clusters and reduced instruction set computer (RISC) architecture-based processing clusters includes a parser to derive from a hardware configuration specific to the CISC architecture, such as an ACPI table, a device tree specific to the RISC architecture for booting. The hardware configuration information indicated by the device tree is specific to the RISC architecture, and in different cases includes more, less, or revised information than a corresponding ACPI table for the same hybrid co-processing system.

    Secure computer vision processing

    公开(公告)号:US11443051B2

    公开(公告)日:2022-09-13

    申请号:US16228349

    申请日:2018-12-20

    Abstract: A computer vision processor in an image cluster defines a fenced memory region (FMR) that controls access to image data stored in a first portion of a trusted memory region (TMR). The computer vision processor receives FMR requests from an application implemented in a processing cluster. The FMR requests are to access the image data in the first portion of the TMR. The computer vision processor selectively allows the requesting application to access the image data. In some cases, the computer vision processor acquires the image data and stores the image data in the first portion of the TMR, such as buffers in the TMR. A data fabric selectively permits the image processing application to access the data stored in the TMR based on whether the image cluster has opened or closed the FMR for the portion of the TMR.

    REAL-TIME GPU RENDERING WITH PERFORMANCE GUARANTEED POWER MANAGEMENT

    公开(公告)号:US20210383596A1

    公开(公告)日:2021-12-09

    申请号:US17408034

    申请日:2021-08-20

    Abstract: Systems, apparatuses, and methods for performing real-time video rendering with performance guaranteed power management are disclosed. A system includes at least a software driver, a power management unit, and a plurality of processing elements for performing rendering tasks. The system receives inputs which correspond to rendering tasks which need to be performed. The software driver monitors the inputs that are received and the number of rendering tasks to which they correspond. The software driver also monitors the amount of time remaining until the next video synchronization signal. The software driver determines which performance setting will minimize power consumption while still allowing enough time to finish the rendering tasks for the current frame before the next video synchronization signal. Then, the software driver causes the power management unit to provide this performance setting to the plurality of processing elements as they perform the rendering tasks for the current frame.

    UNIFIED KERNEL VIRTUAL ADDRESS SPACE FOR HETEROGENEOUS COMPUTING

    公开(公告)号:US20210081328A1

    公开(公告)日:2021-03-18

    申请号:US17105331

    申请日:2020-11-25

    Abstract: Systems, apparatuses, and methods for implementing a unified kernel virtual address space for heterogeneous computing are disclosed. A system includes at least a first subsystem running a first kernel, an input/output memory management unit (IOMMU), and a second subsystem running a second kernel. In order to share a memory buffer between the two subsystems, the first subsystem allocates a block of memory in part of the system memory controlled by the first subsystem. A first mapping is created from a first logical address of the kernel address space of the first subsystem to the block of memory. Then, the IOMMU creates a second mapping to map the physical address of that block of memory from a second logical address of the kernel address space of the second subsystem. These mappings allow the first and second subsystems to share buffer pointers which reference the block of memory.

    Unified kernel virtual address space for heterogeneous computing

    公开(公告)号:US11960410B2

    公开(公告)日:2024-04-16

    申请号:US17105331

    申请日:2020-11-25

    CPC classification number: G06F12/1009 G06F9/544 G06F9/545 G06F12/0246

    Abstract: Systems, apparatuses, and methods for implementing a unified kernel virtual address space for heterogeneous computing are disclosed. A system includes at least a first subsystem running a first kernel, an input/output memory management unit (IOMMU), and a second subsystem running a second kernel. In order to share a memory buffer between the two subsystems, the first subsystem allocates a block of memory in part of the system memory controlled by the first subsystem. A first mapping is created from a first logical address of the kernel address space of the first subsystem to the block of memory. Then, the IOMMU creates a second mapping to map the physical address of that block of memory from a second logical address of the kernel address space of the second subsystem. These mappings allow the first and second subsystems to share buffer pointers which reference the block of memory.

    SECURE COMPUTER VISION PROCESSING

    公开(公告)号:US20230110765A1

    公开(公告)日:2023-04-13

    申请号:US17889956

    申请日:2022-08-17

    Abstract: A computer vision processor in an image cluster defines a fenced memory region (FMR) that controls access to image data stored in a first portion of a trusted memory region (TMR). The computer vision processor receives FMR requests from an application implemented in a processing cluster. The FMR requests are to access the image data in the first portion of the TMR. The computer vision processor selectively allows the requesting application to access the image data. In some cases, the computer vision processor acquires the image data and stores the image data in the first portion of the TMR, such as buffers in the TMR. A data fabric selectively permits the image processing application to access the data stored in the TMR based on whether the image cluster has opened or closed the FMR for the portion of the TMR.

    Real-time GPU rendering with performance guaranteed power management

    公开(公告)号:US11100698B2

    公开(公告)日:2021-08-24

    申请号:US16457179

    申请日:2019-06-28

    Abstract: Systems, apparatuses, and methods for performing real-time video rendering with performance guaranteed power management are disclosed. A system includes at least a software driver, a power management unit, and a plurality of processing elements for performing rendering tasks. The system receives inputs which correspond to rendering tasks which need to be performed. The software driver monitors the inputs that are received and the number of rendering tasks to which they correspond. The software driver also monitors the amount of time remaining until the next video synchronization signal. The software driver determines which performance setting will minimize power consumption while still allowing enough time to finish the rendering tasks for the current frame before the next video synchronization signal. Then, the software driver causes the power management unit to provide this performance setting to the plurality of processing elements as they perform the rendering tasks for the current frame.

    Unified kernel virtual address space for heterogeneous computing

    公开(公告)号:US10853263B1

    公开(公告)日:2020-12-01

    申请号:US16519311

    申请日:2019-07-23

    Abstract: Systems, apparatuses, and methods for implementing a unified kernel virtual address space for heterogeneous computing are disclosed. A system includes at least a first subsystem running a first kernel, an input/output memory management unit (IOMMU), and a second subsystem running a second kernel. In order to share a memory buffer between the two subsystems, the first subsystem allocates a block of memory in part of the system memory controlled by the first subsystem. A first mapping is created from a first logical address of the kernel address space of the first subsystem to the block of memory. Then, the IOMMU creates a second mapping to map the physical address of that block of memory from a second logical address of the kernel address space of the second subsystem. These mappings allow the first and second subsystems to share buffer pointers which reference the block of memory.

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