Apple Inc.

Jeremy Sandmel

Aaftab A Munshi

Kenneth Christian Dyke

John Harper

David Michael Chan

Arthur L Spence

Peter C Tsoi

Chendi Zhang

Jeffry E Gonion

Ian C Hendry

Andrew M Sowerby

Deron D Johnson

Filip Iliescu

Benjamin N Lipchak

Michael T Mayers

Patrick L Coffman

Joshua H Shaffer

Geoffrey Grant Stahl

Gokhan Avkarogullari

Richard Warren Schreyer

John Kenneth Stauffer

John S Harper

Geoff Stahl

Toby C Paterson

John R Isidoro

Toby C Patterson

Joshua H Schaffer

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.

Parallel runtime execution on multiple processors

One embodiment provides for a display system to generate and display data on a display device, the display system comprising one or more graphics processors to generate one or more frames of data for display on the display device; a window manager to submit a request to display the one or more frames of data; a display engine to present the one or more frames of data to the display device for display; and display logic to receive the request to display the one or more frames of data and generate one or more display events for the display engine based on the request to display the one or more frames of data, wherein the display logic is to manage a set of statistics associated with the request.

Controlling display performance using display statistics and feedback

A method and an apparatus that allocate one or more physical compute devices such as Central Processing Units (CPUs) or Graphical Processing Units (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.

Data parallel computing on multiple processors

A method and an apparatus that execute a parallel computing program in a programming language for a parallel computing architecture are described. The parallel computing program is stored in memory in a system with parallel processors. The parallel computing program is stored in a memory to allocate threads between a host processor and a GPU. The programming language includes an API to allow an application to make calls using the API to allocate execution of the threads between the host processor and the GPU. The programming language includes host function data tokens for host functions performed in the host processor and kernel function data tokens for compute kernel functions performed in one or more compute processors, e.g., GPUs or CPUs, separate from the host processor.

Application interface on multiple processors

Embodiments provide for a display system to generate and display data on a display device, the display system comprising one or more graphics processors to generate one or more frames of data for display on the display device; a display engine to present the one or more frames of data to the display device for display; display logic to receive a request to display the one or more frames of data and generate one or more display events for the display engine based on the request, wherein the request includes a first hint to indicate a complexity of the one or more frames of data and the one or more display events includes a second hint derived from the first hint; and a performance controller to adjust one or more performance related parameters for the display system based on the second hint.

Controlling display performance using display system hints

A method and an apparatus that allocate one or more physical compute devices such as CPUs (Central Processing Unit) or GPUs (Graphics Processing Unit) 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.

Embodiments described herein provide for a display system to generate and display data on a display device, the display system comprising one or more graphics processors to generate one or more frames of data for display on the display device; display logic to receive a request to display the one or more frames of data, the request including a requested presentation time in which the one or more frames of data are to be displayed; and a display engine to present the one or more frames of data to the display device for display at a target presentation time, the target presentation time derived from the requested presentation time, wherein the display engine is to adjust a refresh rate of the display device based on the target presentation time of the one or more frames of data.

Controlling display performance with target presentation times

Embodiments provide for a method of generating and displaying data on a display device, the method comprising receiving an input to interact with an image presented via the display; generating a sequence of frames having an animation frame rate independent of a current refresh rate of the display device; presenting configuration data to the display engine at a display time based on the requested presentation time; and dynamically refreshing the display device based on the display time to display the sequence of frames.

Controlling display performance using animation based refresh rates

Among other things, dynamically selecting or configuring one or more hardware resources to render a particular display data includes obtaining a request for rendering display data. The request includes a specification describing a desired rendering process. Based on the specification and the display data, hardware is selected or configured. The display data is rendered using the selected or configured hardware.

Framework for dynamic configuration of hardware resources

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.

Mirroring graphics content to an external display

A method and an apparatus that allocate one or more physical compute devices such as CPUs (Central Processing Units) or GPUs (Graphical Processing Units) 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.

A method and an apparatus that execute a parallel computing program in a programming language for a parallel computing architecture are described. The parallel computing program is stored in memory in a system with parallel processors. The system includes a host processor, a graphics processing unit (GPU) coupled to the host processor and a memory coupled to at least one of the host processor and the GPU. The parallel computing program is stored in the memory to allocate threads between the host processor and the GPU. The programming language includes an API to allow an application to make calls using the API to allocate execution of the threads between the host processor and the GPU. The programming language includes host function data tokens for host functions performed in the host processor and kernel function data tokens for compute kernel functions performed in one or more compute processors, e.g. GPUs or CPUs, separate from the host processor. Standard data tokens in the programming language schedule a plurality of threads for execution on a plurality of processors, such as CPUs or GPUs in parallel. Extended data tokens in the programming language implement executables for the plurality of threads according to the schedules from the standard data tokens.

Growing community of inventors

San Mateo, CA, United States of America

Jeremy Sandmel