公开(公告)号：US20160335197A1

公开(公告)日：2016-11-17

申请号：US15218799

申请日：2016-07-25

Applicant: Intel Corporation

Inventor： Ravindra Babu Ganapathi ,  Hu Chen

IPC: G06F12/1009 ,  G06F13/16 ,  G06F12/128

CPC classification number: G06F12/1009 ,  G06F3/0614 ,  G06F3/0655 ,  G06F3/0671 ,  G06F12/08 ,  G06F12/0822 ,  G06F12/128 ,  G06F13/1663 ,  G06F2212/50 ,  G06F2212/6026 ,  G06F2212/621 ,  G06F2212/65 ,  G06F2212/657

Abstract: A method and system for maintaining release consistency in shared memory programming on a computing device having multiple processing units includes, in response to a page fault, initiating a transfer, from one processing unit to another, of data associated with more than one but less than all of the pages of shared memory.

Abstract translation: 一种用于在具有多个处理单元的计算设备上维持共享存储器编程中的释放一致性的方法和系统包括响应于页面故障，从一个处理单元发起与多个处理单元相关联的数据的传输 共享内存的所有页面。

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。

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。