公开(公告)号：US09710396B2

公开(公告)日：2017-07-18

申请号：US14503596

申请日：2014-10-01

Applicant: Intel Corporation

Inventor： Ying Gao ,  Hu Chen ,  Shoumeng Yan ,  Xiaocheng Zhou ,  Sai Luo ,  Bratin Saha

IPC: G06F12/02 ,  G06F12/109 ,  G06F9/46 ,  G06F9/54 ,  G06F15/167 ,  G06T1/20

CPC classification number: G06F12/109 ,  G06F9/466 ,  G06F9/544 ,  G06F15/167 ,  G06F2212/656 ,  G06F2212/657 ,  G06T1/20

Abstract: A computer system may comprise a computer platform and input-output devices. The computer platform may include a plurality of heterogeneous processors comprising a central processing unit (CPU) and a graphics processing unit (GPU) and a shared virtual memory supported by a physical private memory space of at least one heterogeneous processor or a physical shared memory shared by the heterogeneous processor. The CPU (producer) may create shared multi-version data and store such shared multi-version data in the physical private memory space or the physical shared memory. The GPU (consumer) may acquire or access the shared multi-version data.

公开(公告)号：US09588826B2

公开(公告)日：2017-03-07

申请号：US14566654

申请日：2014-12-10

Applicant: Intel Corporation

Inventor： Hu Chen ,  Ying Gao ,  Xiaocheng Zhou ,  Shoumeng Yan ,  Peinan Zhang ,  Mohan Rajagopalan ,  Jesse Fang ,  Avi Mendelson ,  Bratin Saha

IPC: G06F9/54 ,  G06F12/02 ,  G06F12/08 ,  G06F12/10 ,  G06T1/20 ,  G06T1/60

CPC classification number: G06F9/544 ,  G06F12/0815 ,  G06F12/084 ,  G06F12/1009 ,  G06F12/1063 ,  G06F12/1072 ,  G06F12/1081 ,  G06F12/109 ,  G06F2212/161 ,  G06F2212/622 ,  G06F2212/656 ,  G06F2212/657 ,  G06F2212/682 ,  G06T1/20 ,  G06T1/60

Abstract: Embodiments of the invention provide a programming model for CPU-GPU platforms. In particular, embodiments of the invention provide a uniform programming model for both integrated and discrete devices. The model also works uniformly for multiple GPU cards and hybrid GPU systems (discrete and integrated). This allows software vendors to write a single application stack and target it to all the different platforms. Additionally, embodiments of the invention provide a shared memory model between the CPU and GPU. Instead of sharing the entire virtual address space, only a part of the virtual address space needs to be shared. This allows efficient implementation in both discrete and integrated settings.

Abstract translation: 本发明的实施例提供了一种用于CPU-GPU平台的编程模型。 特别地，本发明的实施例为集成和分立设备提供统一的编程模型。 该模型还适用于多个GPU卡和混合GPU系统（分立和集成）。 这允许软件供应商编写单个应用程序堆栈并将其定位到所有不同的平台。 另外，本发明的实施例提供了CPU和GPU之间的共享存储器模型。 而不是共享整个虚拟地址空间，只需要共享虚拟地址空间的一部分。 这允许在离散和集成设置中有效实现。

公开(公告)号：US20150123978A1

公开(公告)日：2015-05-07

申请号：US14566654

申请日：2014-12-10

Applicant: Intel Corporation

Inventor： Hu Chen ,  Ying Gao ,  Xiaocheng Zhou ,  Shoumeng Yan ,  Peinan Zhang ,  Mohan Rajagopalan ,  Jesse Fang ,  Avi Mendelson ,  Bratin Saha

IPC: G06F9/54 ,  G06T1/20 ,  G06F12/08 ,  G06T1/60

CPC classification number: G06F9/544 ,  G06F12/0815 ,  G06F12/084 ,  G06F12/1009 ,  G06F12/1063 ,  G06F12/1072 ,  G06F12/1081 ,  G06F12/109 ,  G06F2212/161 ,  G06F2212/622 ,  G06F2212/656 ,  G06F2212/657 ,  G06F2212/682 ,  G06T1/20 ,  G06T1/60

Abstract: Embodiments of the invention provide a programming model for CPU-GPU platforms. In particular, embodiments of the invention provide a uniform programming model for both integrated and discrete devices. The model also works uniformly for multiple GPU cards and hybrid GPU systems (discrete and integrated). This allows software vendors to write a single application stack and target it to all the different platforms. Additionally, embodiments of the invention provide a shared memory model between the CPU and GPU. Instead of sharing the entire virtual address space, only a part of the virtual address space needs to be shared. This allows efficient implementation in both discrete and integrated settings.

Abstract translation: 本发明的实施例提供了一种用于CPU-GPU平台的编程模型。 特别地，本发明的实施例为集成和分立设备提供统一的编程模型。 该模型还适用于多个GPU卡和混合GPU系统（分立和集成）。 这允许软件供应商编写单个应用程序堆栈并将其定位到所有不同的平台。 另外，本发明的实施例提供了CPU和GPU之间的共享存储器模型。 而不是共享整个虚拟地址空间，只需要共享虚拟地址空间的一部分。 这允许在离散和集成设置中有效实现。

公开(公告)号：US09400702B2

公开(公告)日：2016-07-26

申请号：US14320985

申请日：2014-07-01

Applicant: Intel Corporation

Inventor： Hu Chen ,  Ying Gao ,  Xiaocheng Zhou ,  Shoumeng Yan ,  Peinan Zhang ,  Mohan Rajagopalan ,  Jesse Fang ,  Avi Mendelson ,  Bratin Saha

IPC: G06F9/54 ,  G06F12/02 ,  G06F12/08 ,  G06F12/10 ,  G06T1/20 ,  G06T1/60

CPC classification number: G06F9/544 ,  G06F12/0815 ,  G06F12/084 ,  G06F12/1009 ,  G06F12/1063 ,  G06F12/1072 ,  G06F12/1081 ,  G06F12/109 ,  G06F2212/161 ,  G06F2212/622 ,  G06F2212/656 ,  G06F2212/657 ,  G06F2212/682 ,  G06T1/20 ,  G06T1/60

Abstract: Embodiments of the invention provide a programming model for CPU-GPU platforms. In particular, embodiments of the invention provide a uniform programming model for both integrated and discrete devices. The model also works uniformly for multiple GPU cards and hybrid GPU systems (discrete and integrated). This allows software vendors to write a single application stack and target it to all the different platforms. Additionally, embodiments of the invention provide a shared memory model between the CPU and GPU. Instead of sharing the entire virtual address space, only a part of the virtual address space needs to be shared. This allows efficient implementation in both discrete and integrated settings.

公开(公告)号：US20150113255A1

公开(公告)日：2015-04-23

申请号：US14569454

申请日：2014-12-12

Applicant: Intel Corporation

Inventor： Shoumeng Yan ,  Xiaocheng Zhou ,  Hu Chen ,  Ying Gao ,  Sai Luo ,  Bratin Saha

IPC: G06F12/10 ,  G06F9/38

CPC classification number: G06F12/1072 ,  G06F8/447 ,  G06F9/3863 ,  G06F9/3885 ,  G06F9/548 ,  G06F2212/657

Abstract: A computing platform may include heterogeneous processors (e.g., CPU and a GPU) to support sharing of virtual functions between such processors. In one embodiment, a CPU side vtable pointer used to access a shared object from the CPU 110 may be used to determine a GPU vtable if a GPU-side table exists. In another embodiment, a shared non-coherent region, which may not maintain data consistency, may be created within the shared virtual memory. The CPU and the GPU side data stored within the shared non-coherent region may have a same address as seen from the CPU and the GPU side. However, the contents of the CPU-side data may be different from that of GPU-side data as shared virtual memory may not maintain coherency during the run-time. In one embodiment, the vptr may be modified to point to the CPU vtable and GPU vtable stored in the shared virtual memory.

Abstract translation: 计算平台可以包括异构处理器（例如，CPU和GPU），以支持这些处理器之间的虚拟功能的共享。 在一个实施例中，如果GPU侧表存在，则用于从CPU 110访问共享对象的CPU侧vtable指针可用于确定GPU vtable。 在另一个实施例中，可以在共享虚拟存储器内创建可能不维持数据一致性的共享非相干区域。 存储在共享非相干区域内的CP​​U和GPU侧数据可以具有与CPU和GPU侧所见相同的地址。 然而，CPU侧数据的内容可能与GPU侧数据的内容不同，因为共享虚拟存储器可能在运行期间不能维持一致性。 在一个实施例中，可以修改vptr以指向存储在共享虚拟存储器中的CPU vtable和GPU vtable。

公开(公告)号：US10120563B2

公开(公告)日：2018-11-06

申请号：US14779524

申请日：2014-12-24

Applicant: Intel Corporation

Inventor： Zhanglin Liu ,  Jiqiang Song ,  Chao Zhang ,  Ying Gao ,  Dennis Luan ,  Haibing Xie ,  Dongping Jony Liu ,  Randolph Wang ,  Bin Luo ,  Ho Wang

IPC: G06F3/00 ,  G06F3/0488 ,  G06F3/0482 ,  G06F3/0481 ,  G06F3/041 ,  G06F1/16 ,  A47G19/14

Abstract: A container, such as a beverage container or a mug, may include electronics to run applications. In some examples, the container may include a display for visually displaying icons, menus, data, and other elements. In some examples, the container may include one or more sensors, such as touch sensitivity built into the display or a separate touch-sensitive panel, and/or a motion sensor. In some examples, the container may use the one or more sensors to receive input from a user to run interactive applications on the display. In some examples, the container may recognize particular forms of input, such as user swipes in specified directions and/or for specified durations on the touch-sensitive display, and/or motion of the container in specified directions to execute specified commands for the applications. The recognized input may form a user interface for the user.

公开(公告)号：US20170347818A1

公开(公告)日：2017-12-07

申请号：US15538920

申请日：2015-01-23

Applicant: Intel Corporation

Inventor： Jiqiang Song ,  Ying Gao ,  Guipeng Luan ,  Dongping Liu ,  Randolph Y. Wang ,  Wang Ho ,  Haibing Xie ,  Bin Luo ,  Zhanglin Liu ,  Yipeng Qu

IPC: A47G19/22 ,  G06F1/16 ,  G06F3/041

CPC classification number: A47G19/2227 ,  G06F1/1626 ,  G06F1/1643 ,  G06F1/1656 ,  G06F3/0412

Abstract: A product includes a porcelain external wall, a touchscreen panel positioned behind the external wall, a graphical display panel positioned behind the external wall, graphical display logic to render a graphical user interface on the graphical display device to be projected through the porcelain external wall, and touch logic to interpret touch interactions with the touchscreen panel received through the porcelain external wall. The porcelain external wall at least partially obscures presentation of the graphical user interface.

公开(公告)号：US08997114B2

公开(公告)日：2015-03-31

申请号：US14173071

申请日：2014-02-05

Applicant: Intel Corporation

Inventor： Xiaocheng Zhou ,  Shoumeng Yan ,  Ying Gao ,  Hu Chen ,  Peinan Zhang ,  Mohan Rajagopalan ,  Avi Mendelson ,  Bratin Saha

IPC: G06F9/44 ,  G06F13/14 ,  G06F13/00 ,  G06T1/60 ,  G06F9/54 ,  G06F12/10

CPC classification number: G06F9/544 ,  G06F12/0815 ,  G06F12/084 ,  G06F12/1009 ,  G06F12/1063 ,  G06F12/1072 ,  G06F12/1081 ,  G06F12/109 ,  G06F2212/161 ,  G06F2212/622 ,  G06F2212/656 ,  G06F2212/657 ,  G06F2212/682 ,  G06T1/20 ,  G06T1/60

Abstract: Embodiments of the invention provide language support for CPU-GPU platforms. In one embodiment, code can be flexibly executed on both the CPU and GPU. CPU code can offload a kernel to the GPU. That kernel may in turn call preexisting libraries on the CPU, or make other calls into CPU functions. This allows an application to be built without requiring the entire call chain to be recompiled. Additionally, in one embodiment data may be shared seamlessly between CPU and GPU. This includes sharing objects that may have virtual functions. Embodiments thus ensure the right virtual function gets invoked on the CPU or the GPU if a virtual function is called by either the CPU or GPU.

Abstract translation: 本发明的实施例为CPU-GPU平台提供语言支持。 在一个实施例中，可以在CPU和GPU两者上灵活地执行代码。 CPU代码可以将内核卸载到GPU。 该内核可能会调用CPU上的预先存在的库，或者调用其他CPU函数。 这允许构建应用程序，而不需要重新编译整个调用链。 此外，在一个实施例中，数据可以在CPU和GPU之间无缝共享。 这包括共享可能具有虚拟功能的对象。 因此，如果CPU或GPU调用虚拟功能，这些实施例可以确保在CPU或GPU上调用正确的虚拟功能。

公开(公告)号：US20170192664A1

公开(公告)日：2017-07-06

申请号：US14779524

申请日：2014-12-24

Applicant: INTEL CORPORATION

Inventor： Zhanglin Liu ,  Jiqiang Song ,  Chao Zhang ,  Ying Gao ,  Dennis Luan ,  Haibing Xie ,  Dongping Liu ,  Randolph Wang ,  Bin Luo ,  Ho Wang

IPC: G06F3/0488 ,  A47G19/14 ,  G06F3/041 ,  G06F1/16 ,  G06F3/0482 ,  G06F3/0481

CPC classification number: G06F3/04883 ,  A47G19/14 ,  G06F1/1613 ,  G06F1/1626 ,  G06F1/1643 ,  G06F1/1652 ,  G06F1/1694 ,  G06F3/0416 ,  G06F3/04817 ,  G06F3/0482 ,  G06F2203/04102

Abstract: A container, such as a beverage container or a mug, may include electronics to run applications. In some examples, the container may include a display for visually displaying icons, menus, data, and other elements. In some examples, the container may include one or more sensors, such as touch sensitivity built into the display or a separate touch-sensitive panel, and/or a motion sensor. In some examples, the container may use the one or more sensors to receive input from a user to run interactive applications on the display. In some examples, the container may recognize particular forms of input, such as user swipes in specified directions and/or for specified durations on the touch-sensitive display, and/or motion of the container in specified directions to execute specified commands for the applications. The recognized input may form a user interface for the user.

公开(公告)号：US20150212832A1

公开(公告)日：2015-07-30

申请号：US14129934

申请日：2013-07-16

Applicant: Intel Corporation

Inventor： Xiacheng Zhou ,  Hu Chen ,  Shoumeng Yan ,  Ying Gao

IPC: G06F9/445 ,  G06F12/02

CPC classification number: G06F9/44505 ,  G06F9/4411 ,  G06F12/023 ,  G06F2212/251

Abstract: Various embodiments are generally directed an apparatus and method for configuring an execution environment in a user space for device driver operations and redirecting a device driver operation for execution in the execution environment in the user space including copying instructions of the device driver operation from the kernel space to a user process in the user space. In addition, the redirected device driver operation may be executed in the execution environment in the user space.

Abstract translation: 各种实施例通常涉及用于在用户空间中配置用于设备驱动器操作的执行环境并重定向设备驱动器操作以在用户空间中的执行环境中执行的装置和方法，包括来自内核空间的设备驱动器操作的复制指令 到用户空间中的用户进程。 此外，可以在用户空间中的执行环境中执行重定向设备驱动器操作。