公开(公告)号：EP2779148A1

公开(公告)日：2014-09-17

申请号：EP14159674.2

申请日：2014-03-14

申请人： Intel Corporation

发明人： Janus, Scott

IPC分类号： G09G3/00

CPC分类号： G06F3/167 ,  G06F3/1446 ,  G09G3/003 ,  H04R1/00 ,  H04S7/302 ,  H04S2400/11

摘要： Techniques for improved audio localization for visual effects are described. In one embodiment, for example, an apparatus may comprise a processor circuit and an audio management module, and the audio management module may be operable by the processor circuit to determine a position of a user interface element in a presentation area, determine an audio effect corresponding to the user interface element, determine audio location information for the audio effect based on the position of the user interface element, the audio location information defining an apparent position for the audio effect, and generate audio playback information for the audio effect based on the audio location information. Other embodiments are described and claimed.

摘要翻译： 描述了用于改善视觉效果的音频定位的技术。 在一个实施例中，例如，设备可以包括处理器电路和音频管理模块，并且音频管理模块可以由处理器电路操作以确定用户界面元素在呈现区域中的位置，确定音频效果 对应于用户界面元素，基于用户界面元素的位置确定用于音频效果的音频位置信息，音频位置信息定义音频效果的明显位置，并且基于该音频效果生成音频效果的音频回放信息 音频位置信息。 描述和要求保护其他实施例。

公开(公告)号：EP4130988A1

公开(公告)日：2023-02-08

申请号：EP22198615.1

申请日：2020-03-14

申请人： INTEL Corporation

发明人： Koker, Altug ,  Ray, Joydeep ,  Ould-Ahmed-Vall, ElMoustapha ,  Appu, Abhishek ,  Anantaraman, Aravindh ,  Andrei, Valentin ,  Bilagi, Durgaprasad ,  George, Varghese ,  Insko, Brent ,  Jahagirdar, Sanjeev ,  Janus, Scott ,  K, Pattabhiraman ,  Kim, SungYe ,  Maiyuran, Subramaniam ,  Ranganathan, Vasanth ,  Striramassarma, Lakshminarayanan ,  Tian, Xinmin

IPC分类号： G06F9/38 ,  G06F12/0862 ,  G06F9/30 ,  G06F12/0891

摘要： Systems and methods for improving cache efficiency and utilization are disclosed. In one embodiment, a graphics processor comprises processing resources to perform graphics operations and a cache controller of a cache coupled to the processing resources. The cache controller is configured to, in response to an instruction executed by one of the processing resources, modify an aging policy by modifying, based on the instruction, a level of importance from a first level of importance to preserve data longer in the cache for a first time period to a second level of importance for data to be evicted from the cache within a second time period, which is less than the first time period.

公开(公告)号：EP4024223A1

公开(公告)日：2022-07-06

申请号：EP22157673.9

申请日：2020-03-14

申请人： Intel Corporation

发明人： Koker, Altug ,  Ray, Joydeep ,  Ould-Ahmed-Vall, ElMoustapha ,  Appu, Abhishek ,  Anantaraman, Aravindh ,  Andrei, Valentin ,  Bilagi, Durgaprasad ,  George, Varghese ,  Insko, Brent ,  Jahagirdar, Sanjeev ,  Janus, Scott ,  K, Pattabhiraman ,  Kim, SungYe ,  Maiyuran, Subramaniam ,  Ranganathan, Vasanth ,  Striramassarma, Lakshminarayanan ,  Tian, Xinmin

IPC分类号： G06F12/123 ,  G06F12/126

摘要： Systems and methods for improving cache efficiency and utilization are disclosed. In one embodiment, a graphics multiprocessor comprises a plurality of processing resources including a first set of processing cores and a second set of processing cores, wherein the first set of processing cores includes circuitry to execute instructions to perform matrix operations and the second set of processing cores includes circuitry to execute instructions to perform integer and floating-point operations; and a cache memory configured to be partitioned into multiple cache regions, wherein the multiple cache regions include a first cache region having a cache eviction policy with a configurable level of data persistence.

公开(公告)号：EP4020384A1

公开(公告)日：2022-06-29

申请号：EP21199016.3

申请日：2021-09-25

申请人： Intel Corporation

发明人： Yao, Anbang ,  Lu, Ming ,  Wang, Yikai ,  Janus, Scott ,  Kim, Sungye

IPC分类号： G06T7/11

摘要： Embodiments are generally directed to methods and apparatuses of spatially sparse convolution module for visual rendering and synthesis. An embodiment of a method for image processing, comprising: receiving an input image by a convolution layer of a neural network to generate a plurality of feature maps; performing spatially sparse convolution on the plurality of feature maps to generate spatially sparse feature maps; and upsampling the spatially sparse feature maps to generate an output image.