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1. 发明申请

WO2017201676A1 SELF-ADAPTIVE WINDOW MECHANISM 审中-公开
标题翻译：自适应窗口机制
公开(公告)号：WO2017201676A1
公开(公告)日：2017-11-30
申请号：PCT/CN2016/083192
申请日：2016-05-24
申请人： INTEL CORPORATION , CHEN, Feng , YANG, Yi , CHEN, Zhenyang
发明人： CHEN, Feng , YANG, Yi , CHEN, Zhenyang
IPC分类号： G06N3/08
CPC分类号： G06N3/08 , G06N3/0454
摘要： A mechanism is described for facilitating training of Convolutional Neural Network (CNN) logic. A method of embodiments, as described herein, includes performing a sensitivity scan on an input image using a self-adaptive bi-direction mask (SABM) window structure and a normalized sensitivity map, wherein the SABM window structure is based on the input image and training Convolutional Neural Network (CNN) logic based on the results of the sensitivity scan.
摘要翻译：描述了用于促进卷积神经网络（CNN）逻辑的训练的机制。如本文所述，实施例的方法包括使用自适应双向掩模（SABM）窗口结构和归一化灵敏度图对输入图像执行灵敏度扫描，其中SABM窗口结构基于输入图像并且根据灵敏度扫描的结果训练卷积神经网络（CNN）逻辑。

2. 发明申请

WO2016090606A1 TRUSTED PREDICTIVE ANALYTIC EXECUTION MIDDLEWARE 审中-公开
标题翻译： TRUSTED预测分析执行中间件
公开(公告)号：WO2016090606A1
公开(公告)日：2016-06-16
申请号：PCT/CN2014/093600
申请日：2014-12-11
申请人： INTEL CORPORATION , CHEN, Feng , HAO, Yan , YANG, Yi , CHEN, Xiaoming
发明人： CHEN, Feng , HAO, Yan , YANG, Yi , CHEN, Xiaoming
IPC分类号： G06F21/30
CPC分类号： G06F21/10 , G06F21/74
摘要： A computing system includes technologies for providing trusted predictive analytics services. The computing system provides a common description language for predictive analytics services, and uses cryptographic techniques and digital rights management techniques to protect input data and/or portions of the predictive analytics services.
摘要翻译：计算系统包括用于提供可信任预测分析服务的技术。计算系统为预测分析服务提供通用描述语言，并使用加密技术和数字版权管理技术来保护输入数据和/或部分预测分析服务。

3. 发明申请

WO2016090535A1 GRAPHIC RENDERING QUALITY IMPROVEMENTS THROUGH AUTOMATED DATA TYPE PRECISION CONTROL 审中-公开
标题翻译：通过自动数据类型精确控制的图形渲染质量改进
公开(公告)号：WO2016090535A1
公开(公告)日：2016-06-16
申请号：PCT/CN2014/093296
申请日：2014-12-08
申请人： INTEL CORPORATION , CHEN, Feng , YANG, Yi , CHEN, Xiaoming
发明人： CHEN, Feng , YANG, Yi , CHEN, Xiaoming
IPC分类号： G06T15/10
CPC分类号： G06T15/80 , G06F9/30014 , G06F9/3861 , G06T1/20 , G06T15/005
摘要： One or more system, apparatus, method, and computer readable media is described below for automated data type precision control capable of improving rendering quality on a graphics processor. Perceptible rendering quality is dependent at least in part on number format precision (e.g., FP16 or FP32) employed for shader program variables. In accordance with embodiments, shader variables implemented in lower precision data formats are tracked during shader compile to identify those that might trigger a floating point overflow and/or underflow exception. For shaders including one or more such variable, resources are provided to automatically monitor overflow and/or underflow exceptions during shader execution. In further embodiments, shader code is automatically re-generated based, at least in part, upon occurrences of such exceptions, and an increased number format precision specified for one or more of the tracked shader variables.
摘要翻译：下面描述一种或多种系统，装置，方法和计算机可读介质，用于能够改善图形处理器上的渲染质量的自动数据类型精度控制。可感知的渲染质量至少部分取决于用于着色器程序变量的数字格式精度（例如，FP16或FP32）。根据实施例，在着色器编译期间跟踪以较低精度数据格式实现的着色器变量，以识别那些可能触发浮点溢出和/或下溢异常的变量。对于包括一个或多个此类变量的着色器，提供资源以在着色器执行期间自动监视溢出和/或下溢异常。在另外的实施例中，着色器代码至少部分地基于这种异常的出现以及为一个或多个跟踪的着色器变量指定的增加的数字格式精度而自动重新生成。

4. 发明申请

WO2016000129A1 ADAPTIVE PARTITION MECHANISM WITH ARBITRARY TILE SHAPE FOR TILE BASED RENDERING GPU ARCHITECTURE 审中-公开
标题翻译：具有基于渲染GPU架构的ARBITRARY TILE形状的自适应分割机制
公开(公告)号：WO2016000129A1
公开(公告)日：2016-01-07
申请号：PCT/CN2014/081164
申请日：2014-06-30
申请人： INTEL CORPORATION , YANG, Yi , CHEN, Xiaoming , CHEN, Feng , HAO, Yan
发明人： YANG, Yi , CHEN, Xiaoming , CHEN, Feng , HAO, Yan
IPC分类号： G06T15/00
CPC分类号： G06T15/005 , G06T1/60 , G06T11/40 , G06T15/04 , G06T2200/04
摘要： Methods and apparatus relating to an adaptive partition mechanism with arbitrary tile shape for tile based rendering GPU (Graphics Processing Unit) architecture are described. In an embodiment, the primitive intersection cost value for each atomic tile of an image are determined at least partially based on a vertex element size, a vertex shader length, and a number of the vertices of a primitive of the image. Other embodiments are also disclosed and claimed.
摘要翻译：描述了与基于瓦片的渲染GPU（图形处理单元）架构的具有任意瓦片形状的自适应分区机构有关的方法和装置。在一个实施例中，至少部分地基于图像的原始图元的顶点元素大小，顶点着色器长度和顶点的数量来确定图像的每个原子瓦片的原始交叉点成本值。还公开并要求保护其他实施例。

5. 发明申请

WO2014134771A1 ENERGY AWARE INFORMATION PROCESSING FRAMEWORK FOR COMPUTATION AND COMMUNICATION DEVICES (CCD) COUPLED TO A CLOUD 审中-公开
标题翻译：用于与云组合的计算和通信设备（CCD）的能量知识信息处理框架
公开(公告)号：WO2014134771A1
公开(公告)日：2014-09-12
申请号：PCT/CN2013/072125
申请日：2013-03-04
申请人： INTEL CORPORATION , YANG, Rongzhen , YIN, Hujun , CHEN, Feng , WU, Johnson, Z , HAO, Yan, Mars , YANG, Yi
发明人： YANG, Rongzhen , YIN, Hujun , CHEN, Feng , WU, Johnson, Z , HAO, Yan, Mars , YANG, Yi
IPC分类号： G06F9/50
CPC分类号： G06F9/5094 , G06F9/4893 , Y02D10/22
摘要： An energy aware framework for computation and communication devices (CCDs) is disclosed. CCDs may support applications, which may participate in energy aware optimization. Such applications may be designed to support execution modes, which may be associated with different computation and communication demands or requirements. An optimization block may collect computation requirement values (CRVM), communication demand values (CDVM), and such other values of each execution mode to perform a specific task(s). The optimization block may collect computation energy cost information (CECIM) and multi-radio communication energy cost information (MCECIM) for each execution mode. Also, the optimization block may collect the workload values of a cloud-side processing device. The optimization block may determine power estimation values (PEV), based on the energy cost values (CECIM), (MCECIM), CRVM, and CDVM. The optimization block may then determine the execution mode or the apparatus best suited to perform the tasks.
摘要翻译：公开了一种用于计算和通信设备（CCD）的能量感知框架。 CCD可以支持可能参与能量感知优化的应用。这样的应用可以被设计为支持可能与不同计算和通信需求或需求相关联的执行模式。优化块可以收集计算需求值（CRVM），通信需求值（CDVM）以及每个执行模式的其他值以执行特定的任务。优化块可以针对每个执行模式收集计算能量成本信息（CECIM）和多无线电通信能量成本信息（MCECIM）。此外，优化块可以收集云端处理设备的工作负载值。优化块可以基于能量成本值（CECIM），（MCECIM），CRVM和CDVM来确定功率估计值（PEV）。然后，优化块可以确定执行模式或者最适于执行任务的装置。

6. 发明申请

WO2020000391A1 VIRTUAL STORAGE SERVICES FOR CLIENT COMPUTING DEVICES 审中-公开
公开(公告)号：WO2020000391A1
公开(公告)日：2020-01-02
申请号：PCT/CN2018/093737
申请日：2018-06-29
申请人： INTEL CORPORATION , WEI, Changzheng , YANG, Ziye , WANG, Junyuan , LIANG, Cunming , HOU, Junhua , LI, Weigang , YU, Ping , YANG, Yi , LI, Baoqian , ZENG, Xin
发明人： WEI, Changzheng , YANG, Ziye , WANG, Junyuan , LIANG, Cunming , HOU, Junhua , LI, Weigang , YU, Ping , YANG, Yi , LI, Baoqian , ZENG, Xin
IPC分类号： H04L29/06
摘要： Embodiments include apparatuses, methods, and systems including one or more servers and one or more storage devices, coupled with each other, to provide virtual storage service to store a file and meta data of the file for a client computing device. The file and the meta data of the file may be encrypted by the client computing device before providing to the virtual storage service. The file may be encrypted with a secret key of the client computing device, and the meta data of the file may be encrypted with a shared session key between the client computing device and the virtual storage service. The encrypted file may be stored in the one or more storage devices, and the encrypted meta data of the file may be stored in one or more secured areas of the one or more servers. Other embodiments may also be described and claimed.

7. 发明申请

WO2017107183A1 ALPHA BLENDING AND DISPLAY UPDATE BANDWIDTH SAVING DURING RENDER AND DISPLAY OPERATIONS 审中-公开
标题翻译： ALPHA混合和显示更新带宽和显示操作过程中节省的带宽
公开(公告)号：WO2017107183A1
公开(公告)日：2017-06-29
申请号：PCT/CN2015/098912
申请日：2015-12-25
申请人： INTEL CORPORATION , MAO, Xiaocheng Marc , YANG, Yi
发明人： MAO, Xiaocheng Marc , YANG, Yi
IPC分类号： G06T15/00
CPC分类号： G06T15/503
摘要： Embodiments provide for a graphics processing apparatus comprising a graphics processing engine configured for tiled memory access. In one embodiment the graphics processing engine is configured to render pixel data to a tile of memory and write to metadata associated with the tile of memory that indicates a data characteristic of the pixel data. The data characteristic of the pixel data includes whether the pixel data is transparent or whether the pixel data is an update of data from a previous frame.
摘要翻译：实施例提供了一种图形处理装置，其包括配置用于平铺存储器访问的图形处理引擎。在一个实施例中，图形处理引擎被配置成将像素数据呈现给存储器块并写入与指示像素数据的数据特性的存储器块相关联的元数据。像素数据的数据特征包括像素数据是透明的还是像素数据是来自前一帧的数据的更新。

8. 发明申请

WO2016161552A1 CLOUD COMPUTING FOR MOBILE CLIENT DEVICES 审中-公开
标题翻译：云计算移动客户端设备
公开(公告)号：WO2016161552A1
公开(公告)日：2016-10-13
申请号：PCT/CN2015/075985
申请日：2015-04-07
申请人： INTEL CORPORATION , ZHU, Bin , YANG, Yi , LIN, He , LI, Yuming , WANG, Zuo , XIE, Zhouyi
发明人： ZHU, Bin , YANG, Yi , LIN, He , LI, Yuming , WANG, Zuo , XIE, Zhouyi
IPC分类号： H04L29/08
CPC分类号： H04W4/50 , H04L65/4084 , H04N21/41407 , H04W4/06
摘要： Apparatuses, methods and storage medium associated with cloud computing for mobile client devices are disclosed herein. In embodiments, a cloud server may include one or more processors, and a mobile computing operating system to host execution of an application. The cloud server may also include a cloud application server to interact with a cloud application client of a mobile client device to provide audio and video streams to the mobile client device, and to receive touch, key and sensor events from the mobile client device, to enable the application to be executed for the mobile client device. Other embodiments may be described or claimed.
摘要翻译：本文公开了用于移动客户端设备的与云计算相关联的装置，方法和存储介质。在实施例中，云服务器可以包括一个或多个处理器，以及移动计算操作系统来托管应用的执行。云服务器还可以包括云应用服务器，以与移动客户端设备的云应用客户端进行交互，以向移动客户端设备提供音频和视频流，并从移动客户端设备接收触摸，密钥和传感器事件，使移动客户端设备能够执行应用程序。可以描述或要求保护其他实施例。

9. 发明申请

WO2017049496A1 APPARATUS AND METHOD FOR LOCAL QUANTIZATION FOR CONVOLUTIONAL NEURAL NETWORKS (CNNS) 审中-公开
标题翻译：用于局部定量的神经网络（CNNS）的装置和方法
公开(公告)号：WO2017049496A1
公开(公告)日：2017-03-30
申请号：PCT/CN2015/090430
申请日：2015-09-23
申请人： INTEL CORPORATION , YANG, Yi , FENG, Chen , YAN, Dai , CHEN, Xiaoming
发明人： YANG, Yi , FENG, Chen , YAN, Dai , CHEN, Xiaoming
IPC分类号： G06K9/66 , G06K9/46 , G06K9/00
CPC分类号： G06K9/4619 , G06K9/00986 , G06K9/38 , G06N3/0454
摘要： An apparatus and method for local quantization for convolutional neural networks. For example, one embodiment of an apparatus comprises : a convolutional neural network module comprising a neuron network structure to perform pattern recognition within an input image using a set of input image values; and a quantization module to quantize input image values to reduce processing requirements within one or more stages of the neuron network structure; the quantization module to perform quantization of each of a plurality of patches of the input image using a first quantization policy to generate a first matrix of quantized input data and to perform quantization of each of a plurality of kernel data using a second quantization policy to generate a second matrix of quantized kernel data.
摘要翻译：一种用于卷积神经网络的局部量化的装置和方法。例如，设备的一个实施例包括：卷积神经网络模块，其包括使用一组输入图像值在输入图像内执行模式识别的神经元网络结构; 以及量化模块，用于量化输入图像值以减少神经元网络结构的一个或多个阶段内的处理要求; 所述量化模块使用第一量化策略来执行所述输入图像的多个片段中的每一个的量化，以生成量化的输入数据的第一矩阵，并且使用第二量化策略来执行每个所述核心数据的量化以产生量化内核数据的第二个矩阵。

10. 发明公开

EP3860701A1 INFLATION DEVICES AND SYSTEMS FOR BALLOON CATHETERS AND METHODS FOR USE 审中-公开
公开(公告)号：EP3860701A1
公开(公告)日：2021-08-11
申请号：EP19868996.0
申请日：2019-10-03
申请人： Ostial Corporation , Sanati, Archimedes , Wolenberg, Jake , Co, Fred, H. , Yang, Yi
发明人： KHOSRAVI, Farhad , SANATI, Archimedes , WOLENBERG, Jake , CO, Fred, H. , YANG, Yi
IPC分类号： A61M25/10 , A61F2/958 , A61F2/954

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