公开(公告)号：US20090307704A1

公开(公告)日：2009-12-10

申请号：US12264894

申请日：2008-11-04

Applicant: AAFTAB A. MUNSHI ,  Nathaniel Begeman

Inventor： AAFTAB A. MUNSHI ,  Nathaniel Begeman

IPC: G06F9/50 ,  G06F9/46

CPC classification number: G06F9/4843 ,  G06F9/5044 ,  G06F2209/5017 ,  G06F2209/509

Abstract: A method and an apparatus that determine a total number of threads to concurrently execute executable codes compiled from a single source for target processing units in response to an API (Application Programming Interface) request from an application running in a host processing unit are described. The target processing units include GPUs (Graphics Processing Unit) and CPUs (Central Processing Unit). Thread group sizes for the target processing units are determined to partition the total number of threads according to a multi-dimensional global thread number included in the API request. The executable codes are loaded to be executed in thread groups with the determined thread group sizes concurrently in the target processing units.

Abstract translation: 描述了响应于来自在主机处理单元中运行的应用的API（应用程序编程接口）请求，确定用于目标处理单元从单个源编译的并行执行可执行代码的总线程数的方法和装置。 目标处理单元包括GPU（图形处理单元）和CPU（中央处理单元）。 根据API请求中包含的多维全局线程号，确定目标处理单元的线程组大小以分配总线程数。 可执行代码被加载以在目标处理单元中并发确定的线程组大小的线程组中执行。

公开(公告)号：US20090307699A1

公开(公告)日：2009-12-10

申请号：US12264896

申请日：2008-11-04

Applicant: AAFTAB A. MUNSHI ,  Nathaniel Begeman

Inventor： AAFTAB A. MUNSHI ,  Nathaniel Begeman

IPC: G06F9/46

CPC classification number: G06F9/5027 ,  G06F3/00 ,  G06F8/41 ,  G06F9/44 ,  G06F9/46 ,  G06F9/4843 ,  G06F9/5016 ,  G06F9/5044 ,  G06F9/54 ,  G06F2209/5018 ,  G06F2209/509

Abstract: A method and an apparatus for a parallel computing program calling APIs (application programming interfaces) in a host processor to perform a data processing task in parallel among compute units are described. The compute units are coupled to the host processor including central processing units (CPUs) and graphic processing units (GPUs). A program object corresponding to a source code for the data processing task is generated in a memory coupled to the host processor according to the API calls. Executable codes for the compute units are generated from the program object according to the API calls to be loaded for concurrent execution among the compute units to perform the data processing task.

Abstract translation: 描述了用于在主处理器中调用API（应用程序编程接口）并行计算程序的方法和装置，以在计算单元之间并行地执行数据处理任务。 计算单元耦合到主处理器，包括中央处理单元（CPU）和图形处理单元（GPU）。 根据API调用在与主机处理器耦合的存储器中产生与数据处理任务的源代码相对应的程序对象。 计算单元的可执行代码根据要在计算单元之间并行执行的API调用从程序对象生成以执行数据处理任务。