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    • 3. 发明授权
    • Method for reducing graphics rendering failures
    • 减少图形渲染失败的方法
    • US09257101B2
    • 2016-02-09
    • US13620053
    • 2012-09-14
    • Ian HendryJeffry GonionJeremy Sandmel
    • Ian HendryJeffry GonionJeremy Sandmel
    • G09G5/399G09G5/395G06T1/20
    • G09G5/395G06T1/20
    • A method and electronic device employing the method of processing a frame of graphics for display is provided that includes developing a frame in a first software frame processing stage following a first vertical blanking (VBL) heartbeat, issuing a command indicating the first stage is complete, and performing a final software frame processing stage without waiting for a subsequent VBL heartbeat. The method may alternatively include performing the final software frame processing stage regardless as to whether a target framebuffer is available, performing all but final hardware frame processing stages regardless as to whether the target framebuffer is in use, and performing the final hardware processing stage if the target framebuffer is not in use.
    • 提供一种采用处理用于显示的图形框的方法的方法和电子设备,其包括在第一垂直消隐(VBL)心跳之后的第一软件帧处理阶段中开发帧,发出指示第一阶段的命令完成, 并执行最后的软件帧处理阶段而不等待后续的VBL心跳。 该方法可以替代地包括执行最终软件帧处理阶段,无论目标帧缓冲器是否可用,执行所有但最后的硬件帧处理阶段,而不管目标帧缓冲器是否在使用,并且如果执行最终硬件处理阶段,则执行最终硬件处理阶段 目标帧缓冲区未被使用。
    • 4. 发明授权
    • Data parallel computing on multiple processors
    • 多处理器上的数据并行计算
    • US09207971B2
    • 2015-12-08
    • US13614975
    • 2012-09-13
    • Aaftab MunshiJeremy Sandmel
    • Aaftab MunshiJeremy Sandmel
    • G06F9/54G06F9/48G06F9/50
    • G06F9/5044G06F9/4843G06F2209/5018
    • A method and an apparatus that allocate one or more physical compute devices such as CPUs or GPUs attached to a host processing unit running an application for executing one or more threads of the application are described. The allocation may be based on data representing a processing capability requirement from the application for executing an executable in the one or more threads. A compute device identifier may be associated with the allocated physical compute devices to schedule and execute the executable in the one or more threads concurrently in one or more of the allocated physical compute devices concurrently.
    • 描述分配一个或多个物理计算设备(诸如连接到运行用于执行应用的一个或多个线程的应用的主机处理单元的CPU或GPU)的方法和装置。 分配可以基于表示来自用于在一个或多个线程中执行可执行程序的应用程序的处理能力要求的数据。 计算设备标识符可以与所分配的物理计算设备相关联,以在一个或多个所分配的物理计算设备中同时调度和执行一个或多个线程中的可执行文件。
    • 5. 发明授权
    • Data parallel computing on multiple processors
    • 多处理器上的数据并行计算
    • US08276164B2
    • 2012-09-25
    • US11800185
    • 2007-05-03
    • Aaftab MunshiJeremy Sandmel
    • Aaftab MunshiJeremy Sandmel
    • G06F9/06
    • G06F9/5044G06F9/4843G06F2209/5018
    • A method and an apparatus that allocate one or more physical compute devices such as CPUs or GPUs attached to a host processing unit running an application for executing one or more threads of the application are described. The allocation may be based on data representing a processing capability requirement from the application for executing an executable in the one or more threads. A compute device identifier may be associated with the allocated physical compute devices to schedule and execute the executable in the one or more threads concurrently in one or more of the allocated physical compute devices concurrently.
    • 描述分配一个或多个物理计算设备(诸如连接到运行用于执行应用的一个或多个线程的应用的主机处理单元的CPU或GPU)的方法和装置。 分配可以基于表示来自用于在一个或多个线程中执行可执行程序的应用程序的处理能力要求的数据。 计算设备标识符可以与所分配的物理计算设备相关联,以在一个或多个所分配的物理计算设备中同时调度和执行一个或多个线程中的可执行文件。
    • 6. 发明申请
    • MIRRORING GRAPHICS CONTENT TO AN EXTERNAL DISPLAY
    • 外部显示的图形内容
    • US20120176396A1
    • 2012-07-12
    • US13154268
    • 2011-06-06
    • John S. HarperKenneth C. DykeJeremy Sandmel
    • John S. HarperKenneth C. DykeJeremy Sandmel
    • G09G5/02G09G5/00
    • G06F3/1431G06F2200/1614G09G5/12G09G5/373G09G5/377G09G2340/04G09G2340/0407G09G2340/0435G09G2340/0485G09G2360/04
    • A data processing system composites graphics content, generated by an application program running on the data processing system, to generate image data. The data processing system stores the image data in a first framebuffer and displays an image generated from the image data in the first framebuffer on an internal display device of the data processing system. A scaler in the data processing system performs scaling operations on the image data in the first framebuffer, stores the scaled image data in a second framebuffer and displays an image generated from the scaled image data in the second framebuffer on an external display device coupled to the data processing system. The scaler performs the scaling operations asynchronously with respect to the compositing of the graphics content. The data processing system automatically mirrors the image on the external display device unless the application program is publishing additional graphics content for display on the external display device.
    • 数据处理系统复合由在数据处理系统上运行的应用程序生成的图形内容,以生成图像数据。 数据处理系统将图像数据存储在第一帧缓冲器中,并且在数据处理系统的内部显示装置上将从第一帧缓冲器中的图像数据生成的图像显示。 数据处理系统中的缩放器对第一帧缓冲器中的图像数据执行缩放操作,将缩放的图像数据存储在第二帧缓冲器中,并将第二帧缓冲器中的缩放图像数据生成的图像显示在耦合到第二帧缓冲器的外部显示设备上 数据处理系统。 缩放器相对于图形内容的合成而异步执行缩放操作。 数据处理系统自动反映外部显示设备上的图像,除非应用程序发布用于在外部显示设备上显示的附加图形内容。
    • 7. 发明授权
    • Mirroring graphics content to an external display
    • 将图形内容镜像到外部显示器
    • US08963799B2
    • 2015-02-24
    • US13154268
    • 2011-06-06
    • John S. HarperKenneth C. DykeJeremy Sandmel
    • John S. HarperKenneth C. DykeJeremy Sandmel
    • G09G5/00G06F3/14G09G5/12
    • G06F3/1431G06F2200/1614G09G5/12G09G5/373G09G5/377G09G2340/04G09G2340/0407G09G2340/0435G09G2340/0485G09G2360/04
    • A data processing system composites graphics content, generated by an application program running on the data processing system, to generate image data. The data processing system stores the image data in a first framebuffer and displays an image generated from the image data in the first framebuffer on an internal display device of the data processing system. A scaler in the data processing system performs scaling operations on the image data in the first framebuffer, stores the scaled image data in a second framebuffer and displays an image generated from the scaled image data in the second framebuffer on an external display device coupled to the data processing system. The scaler performs the scaling operations asynchronously with respect to the compositing of the graphics content. The data processing system automatically mirrors the image on the external display device unless the application program is publishing additional graphics content for display on the external display device.
    • 数据处理系统复合由在数据处理系统上运行的应用程序生成的图形内容,以生成图像数据。 数据处理系统将图像数据存储在第一帧缓冲器中,并且在数据处理系统的内部显示装置上将从第一帧缓冲器中的图像数据生成的图像显示。 数据处理系统中的缩放器对第一帧缓冲器中的图像数据执行缩放操作,将缩放的图像数据存储在第二帧缓冲器中,并将第二帧缓冲器中的缩放图像数据生成的图像显示在耦合到第二帧缓冲器的外部显示设备上 数据处理系统。 缩放器相对于图形内容的合成而异步执行缩放操作。 数据处理系统自动反映外部显示设备上的图像,除非应用程序发布用于在外部显示设备上显示的附加图形内容。
    • 8. 发明授权
    • Parallel runtime execution on multiple processors
    • 多个处理器上的并行运行时执行
    • US08286196B2
    • 2012-10-09
    • US11800319
    • 2007-05-03
    • Aaftab MunshiJeremy Sandmel
    • Aaftab MunshiJeremy Sandmel
    • G06F9/54G06F9/46
    • G06F9/445G06F8/41G06F8/447G06F9/44542G06F9/4843G06F9/5044G06F9/541
    • A method and an apparatus that schedule a plurality of executables in a schedule queue for execution in one or more physical compute devices such as CPUs or GPUs concurrently are described. One or more executables are compiled online from a source having an existing executable for a type of physical compute devices different from the one or more physical compute devices. Dependency relations among elements corresponding to scheduled executables are determined to select an executable to be executed by a plurality of threads concurrently in more than one of the physical compute devices. A thread initialized for executing an executable in a GPU of the physical compute devices are initialized for execution in another CPU of the physical compute devices if the GPU is busy with graphics processing threads. Sources and existing executables for an API function are stored in an API library to execute a plurality of executables in a plurality of physical compute devices, including the existing executables and online compiled executables from the sources.
    • 描述了在一个或多个物理计算设备(例如CPU或GPU)中同时调度用于在一个或多个物理计算设备中执行的调度队列中的多个可执行程序的方法和装置。 一个或多个可执行文件在来自具有用于不同于一个或多个物理计算设备的物理计算设备的类型的现有可执行程序的源的在线编译。 确定与调度的可执行程序相对应的元件之间的依赖性关系,以在多个物理计算设备中同时选择要被多个线程执行的可执行文件。 如果GPU忙于图形处理线程,则初始化用于在物理计算设备的GPU中执行可执行程序的线程被初始化以在物理计算设备的另一个CPU中执行。 用于API函数的源和现有可执行文件存储在API库中以在多个物理计算设备中执行多个可执行程序,包括来自源的现有可执行文件和在线编译的可执行文件。
    • 9. 发明申请
    • Parallel runtime execution on multiple processors
    • 多个处理器上的并行运行时执行
    • US20080276262A1
    • 2008-11-06
    • US11800319
    • 2007-05-03
    • Aaftab MunshiJeremy Sandmel
    • Aaftab MunshiJeremy Sandmel
    • G06F9/46G06F9/45
    • G06F9/445G06F8/41G06F8/447G06F9/44542G06F9/4843G06F9/5044G06F9/541
    • A method and an apparatus that schedule a plurality of executables in a schedule queue for execution in one or more physical compute devices such as CPUs or GPUs concurrently are described. One or more executables are compiled online from a source having an existing executable for a type of physical compute devices different from the one or more physical compute devices. Dependency relations among elements corresponding to scheduled executables are determined to select an executable to be executed by a plurality of threads concurrently in more than one of the physical compute devices. A thread initialized for executing an executable in a GPU of the physical compute devices are initialized for execution in another CPU of the physical compute devices if the GPU is busy with graphics processing threads. Sources and existing executables for an API function are stored in an API library to execute a plurality of executables in a plurality of physical compute devices, including the existing executables and online compiled executables from the sources.
    • 描述了在一个或多个物理计算设备(例如CPU或GPU)中同时调度用于在一个或多个物理计算设备中执行的调度队列中的多个可执行程序的方法和装置。 一个或多个可执行文件在来自具有用于不同于一个或多个物理计算设备的物理计算设备的类型的现有可执行程序的源的在线编译。 确定与调度的可执行程序相对应的元件之间的依赖性关系,以在多个物理计算设备中同时选择要被多个线程执行的可执行文件。 如果GPU忙于图形处理线程,则初始化用于在物理计算设备的GPU中执行可执行程序的线程被初始化以在物理计算设备的另一个CPU中执行。 用于API函数的源和现有可执行文件存储在API库中以在多个物理计算设备中执行多个可执行程序,包括来自源的现有可执行文件和在线编译的可执行文件。