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公开(公告)号:US20230154100A1
公开(公告)日:2023-05-18
申请号:US17529916
申请日:2021-11-18
Applicant: ADVANCED MICRO DEVICES, INC. , ATI TECHNOLOGIES ULC
Inventor: Thomas Daniel Perry , Steven Tovey , Mehdi Saeedi , Andrej Zdravkovic , Zhuo Chen
CPC classification number: G06T15/005 , G06F9/4881 , G06N20/00
Abstract: Systems, methods, and techniques utilize reinforcement learning to efficiently schedule a sequence of jobs for execution by one or more processing threads. A first sequence of execution jobs associated with rendering a target frame of a sequence of frames is received. One or more reward metrics related to rendering the target frame are selected. A modified sequence of execution jobs for rendering the target frame is generated, such as by reordering the first sequence of execution jobs. The modified sequence is evaluated with respect to the selected reward metric(s); and rendering the target frame is initiated based at least in part on the evaluating of the modified sequence with respect to the one or more selected reward metric(s).
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公开(公告)号:US11803999B2
公开(公告)日:2023-10-31
申请号:US17529916
申请日:2021-11-18
Applicant: ADVANCED MICRO DEVICES, INC. , ATI TECHNOLOGIES ULC
Inventor: Thomas Daniel Perry , Steven Tovey , Mehdi Saeedi , Andrej Zdravkovic , Zhuo Chen
CPC classification number: G06T15/005 , G06F9/4881 , G06N20/00
Abstract: Systems, methods, and techniques utilize reinforcement learning to efficiently schedule a sequence of jobs for execution by one or more processing threads. A first sequence of execution jobs associated with rendering a target frame of a sequence of frames is received. One or more reward metrics related to rendering the target frame are selected. A modified sequence of execution jobs for rendering the target frame is generated, such as by reordering the first sequence of execution jobs. The modified sequence is evaluated with respect to the selected reward metric(s); and rendering the target frame is initiated based at least in part on the evaluating of the modified sequence with respect to the one or more selected reward metric(s).
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