| Advance Micro Devices, Inc. Patent applications |
| Patent application number | Title | Published |
|---|
| 20120131596 | Method and System for Synchronizing Thread Wavefront Data and Events - Systems and methods for synchronizing thread wavefronts and associated events are disclosed. According to an embodiment, a method for synchronizing one or more thread wavefronts and associated events includes inserting a first event associated with a first data output from a first thread wavefront into an event synchronizer. The event synchronizer is configured to release the first event before releasing events inserted subsequent to the first event. The method further includes releasing the first event from the event synchronizer after the first data is stored in the memory. Corresponding system and computer readable medium embodiments are also disclosed. | 05-24-2012 |
| 20090160867 | Autonomous Context Scheduler For Graphics Processing Units - Embodiments directed to an autonomous graphics processing unit (GPU) scheduler for a graphics processing system are described. Embodiments include an execution structure for a host CPU and GPU in a computing system that allows the GPU to execute command threads in multiple contexts in a dynamic rather than fixed order based on decisions made by the GPU. This eliminates a significant amount of CPU processing overhead required to schedule GPU command execution order, and allows the GPU to execute commands in an order that is optimized for particular operating conditions. The context list includes parameters that specify task priority and resource requirements for each context. The GPU includes a scheduler component that determines the availability of system resources and directs execution of commands to the appropriate system resources, and in accordance with the priority defined by the context list. | 06-25-2009 |
| 20090160865 | Efficient Video Decoding Migration For Multiple Graphics Processor Systems - Embodiments of the invention as described herein provide a solution to the problems of conventional methods as stated above. In the following description, various examples are given for illustration, but none are intended to be limiting. Embodiments include a frame processor module in a graphics processing system that examines the intra-coded and inter-coded frames in an encoded video stream and initiates migration of decoding and rendering functions to a second graphics processor from a first graphics processor based on the location of intra-coded frames in a video stream and the composition of intermediate inter-coded frames. | 06-25-2009 |
| 20090016430 | Software Video Encoder with GPU Acceleration - Embodiments of a software video encoder with GPU acceleration include a software encoder that partitions video processing tasks and assigns them to both a graphics processing unit (GPU) and a central processing unit (CPU). The partitioning and assigning is configurable for operation in different modes. The modes include a mode in which the total time for video processing (such as when transcoding a large existing file) is reduced, a mode in which less CPU cycles are consumed, thus freeing the CPU for other work, ad mode in which the latency of processing (e.g., for video conferencing) is reduced, and a mode in which information from a game or other real-time activity being displayed on the screen is encoded. | 01-15-2009 |
| 20080278595 | Video Data Capture and Streaming - Embodiments of the video data capture and stream method comprise intercepting a flip function call comprising a call by the video application to flip frames between a display and a buffer, grabbing a copy of the current frame that would normally be processed by a central processing unit (CPU), placing the copy in a queue for processing by a graphics processing unit (GPU), wherein processing by the GPU is significantly faster than processing by the CPU. | 11-13-2008 |
