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1. 发明授权

US09304834B2 Parallel runtime execution on multiple processors 有权
公开(公告)号：US09304834B2
公开(公告)日：2016-04-05
申请号：US13615473
申请日：2012-09-13
申请人： Aaftab Munshi , Jeremy Sandmel
发明人： Aaftab Munshi , Jeremy Sandmel
IPC分类号： G06F9/44 , G06F9/48 , G06F9/54 , G06F9/445 , G06F9/45 , G06F9/50
CPC分类号： G06F9/445 , G06F8/41 , G06F8/447 , G06F9/44542 , G06F9/4843 , G06F9/5044 , G06F9/541
摘要： A method and an apparatus that schedule a plurality of executables in a schedule queue for execution in one or more physical compute devices such as CPUs or GPUs concurrently are described. One or more executables are compiled online from a source having an existing executable for a type of physical compute devices different from the one or more physical compute devices. Dependency relations among elements corresponding to scheduled executables are determined to select an executable to be executed by a plurality of threads concurrently in more than one of the physical compute devices. A thread initialized for executing an executable in a GPU of the physical compute devices are initialized for execution in another CPU of the physical compute devices if the GPU is busy with graphics processing threads.

2. 发明申请

US20130007774A1 DATA PARALLEL COMPUTING ON MULTIPLE PROCESSORS 审中-公开
标题翻译：数据并行计算在多个处理器上
公开(公告)号：US20130007774A1
公开(公告)日：2013-01-03
申请号：US13614975
申请日：2012-09-13
申请人： Aaftab Munshi , Jeremy Sandmel
发明人： Aaftab Munshi , Jeremy Sandmel
IPC分类号： G06F9/46 , G06F15/76
CPC分类号： G06F9/5044 , G06F9/4843 , G06F2209/5018
摘要： A method and an apparatus that allocate one or more physical compute devices such as CPUs or GPUs attached to a host processing unit running an application for executing one or more threads of the application are described. The allocation may be based on data representing a processing capability requirement from the application for executing an executable in the one or more threads. A compute device identifier may be associated with the allocated physical compute devices to schedule and execute the executable in the one or more threads concurrently in one or more of the allocated physical compute devices concurrently.
摘要翻译：描述分配一个或多个物理计算设备（诸如连接到运行用于执行应用的一个或多个线程的应用的主机处理单元的CPU或GPU）的方法和装置。分配可以基于表示来自用于在一个或多个线程中执行可执行程序的应用程序的处理能力要求的数据。计算设备标识符可以与所分配的物理计算设备相关联，以在一个或多个所分配的物理计算设备中同时调度和执行一个或多个线程中的可执行文件。

3. 发明申请

US20130063451A1 PARALLEL RUNTIME EXECUTION ON MULTIPLE PROCESSORS 审中-公开
公开(公告)号：US20130063451A1
公开(公告)日：2013-03-14
申请号：US13615473
申请日：2012-09-13
申请人： Aaftab Munshi , Jeremy Sandmel
发明人： Aaftab Munshi , Jeremy Sandmel
IPC分类号： G06F15/16
CPC分类号： G06F9/445 , G06F8/41 , G06F8/447 , G06F9/44542 , G06F9/4843 , G06F9/5044 , G06F9/541
摘要： A method and an apparatus that schedule a plurality of executables in a schedule queue for execution in one or more physical compute devices such as CPUs or GPUs concurrently are described. One or more executables are compiled online from a source having an existing executable for a type of physical compute devices different from the one or more physical compute devices. Dependency relations among elements corresponding to scheduled executables are determined to select an executable to be executed by a plurality of threads concurrently in more than one of the physical compute devices. A thread initialized for executing an executable in a GPU of the physical compute devices are initialized for execution in another CPU of the physical compute devices if the GPU is busy with graphics processing threads.

4. 发明申请

US20130055272A1 PARALLEL RUNTIME EXECUTION ON MULTIPLE PROCESSORS 审中-公开
标题翻译：并行执行多个处理器
公开(公告)号：US20130055272A1
公开(公告)日：2013-02-28
申请号：US13597119
申请日：2012-08-28
申请人： Aaftab Munshi , Jeremy Sandmel
发明人： Aaftab Munshi , Jeremy Sandmel
IPC分类号： G06F9/46
CPC分类号： G06F9/445 , G06F8/41 , G06F8/447 , G06F9/44542 , G06F9/4843 , G06F9/5044 , G06F9/541
摘要： A method and an apparatus that schedule a plurality of executables in a schedule queue for execution in one or more physical compute devices such as CPUs or GPUs concurrently are described. One or more executables are compiled online from a source having an existing executable for a type of physical compute devices different from the one or more physical compute devices. Dependency relations among elements corresponding to scheduled executables are determined to select an executable to be executed by a plurality of threads concurrently in more than one of the physical compute devices. A thread initialized for executing an executable in a GPU of the physical compute devices are initialized for execution in another CPU of the physical compute devices if the GPU is busy with graphics processing threads.
摘要翻译：描述了在一个或多个物理计算设备（例如CPU或GPU）中同时调度用于在一个或多个物理计算设备中执行的调度队列中的多个可执行程序的方法和装置。一个或多个可执行文件在来自具有用于不同于一个或多个物理计算设备的物理计算设备的类型的现有可执行程序的源的在线编译。确定与调度的可执行程序相对应的元件之间的依赖性关系，以在多个物理计算设备中同时选择要被多个线程执行的可执行文件。如果GPU忙于图形处理线程，则初始化用于在物理计算设备的GPU中执行可执行程序的线程被初始化以在物理计算设备的另一个CPU中执行。

5. 发明授权

US08108633B2 Shared stream memory on multiple processors 有权
标题翻译：多个处理器上的共享流内存
公开(公告)号：US08108633B2
公开(公告)日：2012-01-31
申请号：US11800256
申请日：2007-05-03
申请人： Aaftab Munshi , Jeremy Sandmel
发明人： Aaftab Munshi , Jeremy Sandmel
IPC分类号： G06F12/00
CPC分类号： G06F9/5016 , G06F9/5044
摘要： A method and an apparatus that allocate a stream memory and/or a local memory for a variable in an executable loaded from a host processor to the compute processor according to whether a compute processor supports a storage capability are described. The compute processor may be a graphics processing unit (GPU) or a central processing unit (CPU). Alternatively, an application running in a host processor configures storage capabilities in a compute processor, such as CPU or GPU, to determine a memory location for accessing a variable in an executable executed by a plurality of threads in the compute processor. The configuration and allocation are based on API calls in the host processor.
摘要翻译：描述了根据计算处理器是否支持存储能力来分配从主处理器向计算处理器加载的可执行文件中的变量的流存储器和/或本地存储器的方法和装置。计算处理器可以是图形处理单元（GPU）或中央处理单元（CPU）。或者，运行在主处理器中的应用程序配置计算处理器（例如CPU或GPU）中的存储能力，以确定用于访问由计算处理器中的多个线程执行的可执行文件中的变量的存储器位置。配置和分配基于主机处理器中的API调用。

6. 发明授权

US09207971B2 Data parallel computing on multiple processors 有权
标题翻译：多处理器上的数据并行计算
公开(公告)号：US09207971B2
公开(公告)日：2015-12-08
申请号：US13614975
申请日：2012-09-13
申请人： Aaftab Munshi , Jeremy Sandmel
发明人： Aaftab Munshi , Jeremy Sandmel
IPC分类号： G06F9/54 , G06F9/48 , G06F9/50
CPC分类号： G06F9/5044 , G06F9/4843 , G06F2209/5018
摘要： A method and an apparatus that allocate one or more physical compute devices such as CPUs or GPUs attached to a host processing unit running an application for executing one or more threads of the application are described. The allocation may be based on data representing a processing capability requirement from the application for executing an executable in the one or more threads. A compute device identifier may be associated with the allocated physical compute devices to schedule and execute the executable in the one or more threads concurrently in one or more of the allocated physical compute devices concurrently.
摘要翻译：描述分配一个或多个物理计算设备（诸如连接到运行用于执行应用的一个或多个线程的应用的主机处理单元的CPU或GPU）的方法和装置。分配可以基于表示来自用于在一个或多个线程中执行可执行程序的应用程序的处理能力要求的数据。计算设备标识符可以与所分配的物理计算设备相关联，以在一个或多个所分配的物理计算设备中同时调度和执行一个或多个线程中的可执行文件。

7. 发明授权

US08276164B2 Data parallel computing on multiple processors 有权
标题翻译：多处理器上的数据并行计算
公开(公告)号：US08276164B2
公开(公告)日：2012-09-25
申请号：US11800185
申请日：2007-05-03
申请人： Aaftab Munshi , Jeremy Sandmel
发明人： Aaftab Munshi , Jeremy Sandmel
IPC分类号： G06F9/06
CPC分类号： G06F9/5044 , G06F9/4843 , G06F2209/5018
摘要： A method and an apparatus that allocate one or more physical compute devices such as CPUs or GPUs attached to a host processing unit running an application for executing one or more threads of the application are described. The allocation may be based on data representing a processing capability requirement from the application for executing an executable in the one or more threads. A compute device identifier may be associated with the allocated physical compute devices to schedule and execute the executable in the one or more threads concurrently in one or more of the allocated physical compute devices concurrently.
摘要翻译：描述分配一个或多个物理计算设备（诸如连接到运行用于执行应用的一个或多个线程的应用的主机处理单元的CPU或GPU）的方法和装置。分配可以基于表示来自用于在一个或多个线程中执行可执行程序的应用程序的处理能力要求的数据。计算设备标识符可以与所分配的物理计算设备相关联，以在一个或多个所分配的物理计算设备中同时调度和执行一个或多个线程中的可执行文件。

8. 发明授权

US08286196B2 Parallel runtime execution on multiple processors 有权
标题翻译：多个处理器上的并行运行时执行
公开(公告)号：US08286196B2
公开(公告)日：2012-10-09
申请号：US11800319
申请日：2007-05-03
申请人： Aaftab Munshi , Jeremy Sandmel
发明人： Aaftab Munshi , Jeremy Sandmel
IPC分类号： G06F9/54 , G06F9/46
CPC分类号： G06F9/445 , G06F8/41 , G06F8/447 , G06F9/44542 , G06F9/4843 , G06F9/5044 , G06F9/541
摘要： A method and an apparatus that schedule a plurality of executables in a schedule queue for execution in one or more physical compute devices such as CPUs or GPUs concurrently are described. One or more executables are compiled online from a source having an existing executable for a type of physical compute devices different from the one or more physical compute devices. Dependency relations among elements corresponding to scheduled executables are determined to select an executable to be executed by a plurality of threads concurrently in more than one of the physical compute devices. A thread initialized for executing an executable in a GPU of the physical compute devices are initialized for execution in another CPU of the physical compute devices if the GPU is busy with graphics processing threads. Sources and existing executables for an API function are stored in an API library to execute a plurality of executables in a plurality of physical compute devices, including the existing executables and online compiled executables from the sources.
摘要翻译：描述了在一个或多个物理计算设备（例如CPU或GPU）中同时调度用于在一个或多个物理计算设备中执行的调度队列中的多个可执行程序的方法和装置。一个或多个可执行文件在来自具有用于不同于一个或多个物理计算设备的物理计算设备的类型的现有可执行程序的源的在线编译。确定与调度的可执行程序相对应的元件之间的依赖性关系，以在多个物理计算设备中同时选择要被多个线程执行的可执行文件。如果GPU忙于图形处理线程，则初始化用于在物理计算设备的GPU中执行可执行程序的线程被初始化以在物理计算设备的另一个CPU中执行。用于API函数的源和现有可执行文件存储在API库中以在多个物理计算设备中执行多个可执行程序，包括来自源的现有可执行文件和在线编译的可执行文件。

9. 发明申请

US20080276262A1 Parallel runtime execution on multiple processors 有权
标题翻译：多个处理器上的并行运行时执行
公开(公告)号：US20080276262A1
公开(公告)日：2008-11-06
申请号：US11800319
申请日：2007-05-03
申请人： Aaftab Munshi , Jeremy Sandmel
发明人： Aaftab Munshi , Jeremy Sandmel
IPC分类号： G06F9/46 , G06F9/45
CPC分类号： G06F9/445 , G06F8/41 , G06F8/447 , G06F9/44542 , G06F9/4843 , G06F9/5044 , G06F9/541
摘要： A method and an apparatus that schedule a plurality of executables in a schedule queue for execution in one or more physical compute devices such as CPUs or GPUs concurrently are described. One or more executables are compiled online from a source having an existing executable for a type of physical compute devices different from the one or more physical compute devices. Dependency relations among elements corresponding to scheduled executables are determined to select an executable to be executed by a plurality of threads concurrently in more than one of the physical compute devices. A thread initialized for executing an executable in a GPU of the physical compute devices are initialized for execution in another CPU of the physical compute devices if the GPU is busy with graphics processing threads. Sources and existing executables for an API function are stored in an API library to execute a plurality of executables in a plurality of physical compute devices, including the existing executables and online compiled executables from the sources.
摘要翻译：描述了在一个或多个物理计算设备（例如CPU或GPU）中同时调度用于在一个或多个物理计算设备中执行的调度队列中的多个可执行程序的方法和装置。一个或多个可执行文件在来自具有用于不同于一个或多个物理计算设备的物理计算设备的类型的现有可执行程序的源的在线编译。确定与调度的可执行程序相对应的元件之间的依赖性关系，以在多个物理计算设备中同时选择要被多个线程执行的可执行文件。如果GPU忙于图形处理线程，则初始化用于在物理计算设备的GPU中执行可执行程序的线程被初始化以在物理计算设备的另一个CPU中执行。用于API函数的源和现有可执行文件存储在API库中以在多个物理计算设备中执行多个可执行程序，包括来自源的现有可执行文件和在线编译的可执行文件。

10. 发明申请

US20080276261A1 Data parallel computing on multiple processors 有权
标题翻译：多处理器上的数据并行计算
公开(公告)号：US20080276261A1
公开(公告)日：2008-11-06
申请号：US11800185
申请日：2007-05-03
申请人： Aaftab Munshi , Jeremy Sandmel
发明人： Aaftab Munshi , Jeremy Sandmel
IPC分类号： G06F9/46 , G06F9/455
CPC分类号： G06F9/5044 , G06F9/4843 , G06F2209/5018
摘要： A method and an apparatus that allocate one or more physical compute devices such as CPUs or GPUs attached to a host processing unit running an application for executing one or more threads of the application are described. The allocation may be based on data representing a processing capability requirement from the application for executing an executable in the one or more threads. A compute device identifier may be associated with the allocated physical compute devices to schedule and execute the executable in the one or more threads concurrently in one or more of the allocated physical compute devices concurrently.
摘要翻译：描述分配一个或多个物理计算设备（诸如连接到运行用于执行应用的一个或多个线程的应用的主机处理单元的CPU或GPU）的方法和装置。分配可以基于表示来自用于在一个或多个线程中执行可执行程序的应用程序的处理能力要求的数据。计算设备标识符可以与所分配的物理计算设备相关联，以在一个或多个所分配的物理计算设备中同时调度和执行一个或多个线程中的可执行文件。

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