公开(公告)号：US20210294579A1

公开(公告)日：2021-09-23

申请号：US17205993

申请日：2021-03-18

Applicant: Advanced Micro Devices, Inc.

Inventor： Amit Ben-Moshe ,  Brian Kenneth Bennett ,  Qun Lin ,  David Ronald Oldcorn

IPC: G06F8/34 ,  G06F8/41 ,  G06T1/20 ,  G06F3/0484 ,  G06F3/0482

Abstract: Systems, apparatuses, and methods for implementing graphics pipeline optimizations are disclosed. A user interface (UI) is generated to allow a user to analyze shaders and determine resource utilization on any of multiple different target graphic devices. The UI allows the user to manipulate the state associated with the target graphics device for a given graphics pipeline. After being edited by the user, the state of the graphics pipeline is converted into a textual representation and input into a meta-app. The meta-app creates an application programming interface (API) construct from the shader source code and textual representation of the state which is compiled by a driver component into machine-level instructions. Also, resource usage statistics are generated for a simulated run of the graphics pipeline on the target graphics device. Then, the machine-level instructions and resource usage statistics are displayed in the UI for the user to analyze.

公开(公告)号：US11868759B2

公开(公告)日：2024-01-09

申请号：US17545801

申请日：2021-12-08

Applicant: Advanced Micro Devices, Inc.

Inventor： Amit Ben-Moshe ,  Ian Charles Colbert

IPC: G06F8/65 ,  G06T15/00 ,  G06N20/00 ,  G06F8/51 ,  G06F8/41

CPC classification number: G06F8/65 ,  G06F8/443 ,  G06F8/51 ,  G06N20/00 ,  G06T15/005

Abstract: Shader source code performance prediction is described. In accordance with the described techniques, an update to shader source code for implementing a shader is received. A prediction of performance of the shader on a processing unit is generated based on the update to the shader source code. Feedback about the update is output. The feedback includes the prediction of performance of the shader. In one or more implementations, generating the prediction of performance of the shader includes compiling the shader source code with the update to generate a representation of the shader, inputting the representation of the shader to one or more machine learning models, and receiving the prediction of performance of the shader as an output from the one or more machine learning models.

公开(公告)号：US12169703B2

公开(公告)日：2024-12-17

申请号：US17205993

申请日：2021-03-18

Applicant: Advanced Micro Devices, Inc.

Inventor： Amit Ben-Moshe ,  Brian Kenneth Bennett ,  Qun Lin ,  David Ronald Oldcorn

IPC: G06F8/34 ,  G06F3/0482 ,  G06F3/04845 ,  G06F8/41 ,  G06T1/20

Abstract: Systems, apparatuses, and methods for implementing graphics pipeline optimizations are disclosed. A user interface (UI) is generated to allow a user to analyze shaders and determine resource utilization on any of multiple different target graphic devices. The UI allows the user to manipulate the state associated with the target graphics device for a given graphics pipeline. After being edited by the user, the state of the graphics pipeline is converted into a textual representation and input into a meta-app. The meta-app creates an application programming interface (API) construct from the shader source code and textual representation of the state which is compiled by a driver component into machine-level instructions. Also, resource usage statistics are generated for a simulated run of the graphics pipeline on the target graphics device. Then, the machine-level instructions and resource usage statistics are displayed in the UI for the user to analyze.

公开(公告)号：US20230176847A1

公开(公告)日：2023-06-08

申请号：US17545801

申请日：2021-12-08

Applicant: Advanced Micro Devices, Inc.

Inventor： Amit Ben-Moshe ,  Ian Charles Colbert

IPC: G06F8/65 ,  G06T15/00 ,  G06F8/41 ,  G06F8/51 ,  G06N20/00

CPC classification number: G06F8/65 ,  G06T15/005 ,  G06F8/443 ,  G06F8/51 ,  G06N20/00

Abstract: Shader source code performance prediction is described. In accordance with the described techniques, an update to shader source code for implementing a shader is received. A prediction of performance of the shader on a processing unit is generated based on the update to the shader source code. Feedback about the update is output. The feedback includes the prediction of performance of the shader. In one or more implementations, generating the prediction of performance of the shader includes compiling the shader source code with the update to generate a representation of the shader, inputting the representation of the shader to one or more machine learning models, and receiving the prediction of performance of the shader as an output from the one or more machine learning models.