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1. 发明授权

US08904403B2 Dynamic optimization of thread assignments for application workloads in parallel computing 有权
标题翻译：动态优化并行计算中应用程序工作负载的线程分配
公开(公告)号：US08904403B2
公开(公告)日：2014-12-02
申请号：US13524889
申请日：2012-06-15
申请人： Kumar Prathiba , Varun Mallikarjunan , Rajan Ravindran , Satish Kumar Sadasivam
发明人： Kumar Prathiba , Varun Mallikarjunan , Rajan Ravindran , Satish Kumar Sadasivam
IPC分类号： G06F9/46 , G06F9/50
CPC分类号： G06F9/505
摘要： A method for dynamic optimization of thread assignments for application workloads in an simultaneous multi-threading (SMT) computing environment includes monitoring and periodically recording an operational status of different processor cores each supporting a number of threads of the thread pool of the SMT computing environment and also operational characteristics of different workloads of a computing application executing in the SMT computing environment. The method further can include identifying by way of the recorded operational characteristics a particular one of the workloads demonstrating a threshold level of activity. Finally, the method can include matching a recorded operational characteristic of the particular one of the workloads to a recorded status of a processor core best able amongst the different processor cores to host execution in one or more threads of the particular one of the workloads and directing the matched processor core to host execution of the particular one of the workloads.
摘要翻译：用于在同时多线程（SMT）计算环境中的应用工作负载的线程分配的动态优化的方法包括监视和周期性地记录不同处理器核心的操作状态，每个处理器核心支持SMT计算环境的线程池的数量的线程，也是在SMT计算环境中执行的计算应用程序的不同工作负载的操作特性。该方法还可以包括通过记录的操作特征识别表明阈值活动水平的特定一个工作负载。最后，该方法可以包括将所述特定工作负载的所记录的操作特征与处理器核心的记录状态相匹配，所述处理器核心在所述不同处理器核心之间最好地承载所述特定工作负载的一个或多个线程中的执行，并且引导匹配的处理器核心来托管特定工作负载的执行。

2. 发明申请

US20130074090A1 DYNAMIC OPERATING SYSTEM OPTIMIZATION IN PARALLEL COMPUTING 有权
标题翻译：并行计算中的动态操作系统优化
公开(公告)号：US20130074090A1
公开(公告)日：2013-03-21
申请号：US13237035
申请日：2011-09-20
申请人： Prathiba Kumar , Varun Mallikarjunan , Rajan Ravindran , Satish Kumar Sadasivam
发明人： Prathiba Kumar , Varun Mallikarjunan , Rajan Ravindran , Satish Kumar Sadasivam
IPC分类号： G06F9/46
CPC分类号： G06F9/505
摘要： A method for dynamic optimization of thread assignments for application workloads in an simultaneous multi-threading (SMT) computing environment includes monitoring and periodically recording an operational status of different processor cores each supporting a number of threads of the thread pool of the SMT computing environment and also operational characteristics of different workloads of a computing application executing in the SMT computing environment. The method further can include identifying by way of the recorded operational characteristics a particular one of the workloads demonstrating a threshold level of activity. Finally, the method can include matching a recorded operational characteristic of the particular one of the workloads to a recorded status of a processor core best able amongst the different processor cores to host execution in one or more threads of the particular one of the workloads and directing the matched processor core to host execution of the particular one of the workloads.
摘要翻译：用于在同时多线程（SMT）计算环境中的应用工作负载的线程分配的动态优化的方法包括监视和周期性地记录不同处理器核心的操作状态，每个处理器核心支持SMT计算环境的线程池的数量的线程，也是在SMT计算环境中执行的计算应用程序的不同工作负载的操作特性。该方法还可以包括通过记录的操作特征识别表明阈值活动水平的特定一个工作负载。最后，该方法可以包括将所述特定工作负载的所记录的操作特征与处理器核心的记录状态相匹配，所述处理器核心在所述不同处理器核心之间能够处理所述特定工作负载的一个或多个线程中的执行，并指导匹配的处理器核心来托管特定工作负载的执行。

3. 发明授权

US08607243B2 Dynamic operating system optimization in parallel computing 有权
标题翻译：并行计算中的动态操作系统优化
公开(公告)号：US08607243B2
公开(公告)日：2013-12-10
申请号：US13237035
申请日：2011-09-20
申请人： Prathiba Kumar , Varun Mallikarjunan , Rajan Ravindran , Satish Kumar Sadasivam
发明人： Prathiba Kumar , Varun Mallikarjunan , Rajan Ravindran , Satish Kumar Sadasivam
IPC分类号： G06F9/46
CPC分类号： G06F9/505
摘要： A method for dynamic optimization of thread assignments for application workloads in an simultaneous multi-threading (SMT) computing environment includes monitoring and periodically recording an operational status of different processor cores each supporting a number of threads of the thread pool of the SMT computing environment and also operational characteristics of different workloads of a computing application executing in the SMT computing environment. The method further can include identifying by way of the recorded operational characteristics a particular one of the workloads demonstrating a threshold level of activity. Finally, the method can include matching a recorded operational characteristic of the particular one of the workloads to a recorded status of a processor core best able amongst the different processor cores to host execution in one or more threads of the particular one of the workloads and directing the matched processor core to host execution of the particular one of the workloads.
摘要翻译：用于在同时多线程（SMT）计算环境中的应用工作负载的线程分配的动态优化的方法包括监视和周期性地记录不同处理器核心的操作状态，每个处理器核心支持SMT计算环境的线程池的数量的线程，也是在SMT计算环境中执行的计算应用程序的不同工作负载的操作特性。该方法还可以包括通过记录的操作特征识别表明阈值活动水平的特定一个工作负载。最后，该方法可以包括将所述特定工作负载的所记录的操作特征与处理器核心的记录状态相匹配，所述处理器核心在所述不同处理器核心之间最好地承载所述特定工作负载的一个或多个线程中的执行，并且引导匹配的处理器核心来托管特定工作负载的执行。

4. 发明申请

US20120084538A1 Methodology and Framework for Run-Time Coverage Measurement of Architectural Events of a Microprocessor 失效
标题翻译：微处理器架构事件运行时覆盖测量方法与框架
公开(公告)号：US20120084538A1
公开(公告)日：2012-04-05
申请号：US12895034
申请日：2010-09-30
申请人： Sangram Alapati , Jayakumar N. Sankarannair , Varun Mallikarjunan , Prathiba Kumar , Satish Kumar Sadasivam
发明人： Sangram Alapati , Jayakumar N. Sankarannair , Varun Mallikarjunan , Prathiba Kumar , Satish Kumar Sadasivam
IPC分类号： G06F9/30
CPC分类号： G06F11/2236
摘要： A post-silicon testing apparatus, method, and computer program product provide for runtime coverage measurement methodology to measure the architectural events in hardware. Measurement of all architectural events discernable from the instructions and architectural state changes are tracked and recorded. A mechanism to ensure capturing of maskable events is also provided. A feedback driven test-generation approach is enabled by the runtime coverage measurement. The runtime coverage measurement system presents a live view of the comprehensive architectural event coverage to the user/tester. The methodology can be implemented on an operating system environment and also as a standalone/bare-metal tool.
摘要翻译：后硅测试装置，方法和计算机程序产品提供运行时覆盖测量方法来测量硬件中的架构事件。跟踪和记录从指令和架构状态变化中识别的所有架构事件的测量。还提供了一种确保捕获可屏蔽事件的机制。通过运行时覆盖测量启用反馈驱动的测试生成方法。运行时覆盖率测量系统向用户/测试者呈现了综合架构事件覆盖的实时视图。该方法可以在操作系统环境中实现，也可以作为独立/裸机工具实现。

5. 发明授权

US08667255B2 Measuring runtime coverage of architectural events of a microprocessor 失效
标题翻译：测量微处理器架构事件的运行时间覆盖
公开(公告)号：US08667255B2
公开(公告)日：2014-03-04
申请号：US12895034
申请日：2010-09-30
申请人： Sangram Alapati , Jayakumar N Sankarannair , Varun Mallikarjunan , Prathiba Kumar , Satish Kumar Sadasivam
发明人： Sangram Alapati , Jayakumar N Sankarannair , Varun Mallikarjunan , Prathiba Kumar , Satish Kumar Sadasivam
IPC分类号： G06F9/30
CPC分类号： G06F11/2236
摘要： A post-silicon testing apparatus, method, and computer program product provide for runtime coverage measurement methodology to measure the architectural events in hardware. Measurement of all architectural events discernable from the instructions and architectural state changes are tracked and recorded. A mechanism to ensure capturing of maskable events is also provided. A feedback driven test-generation approach is enabled by the runtime coverage measurement. The runtime coverage measurement system presents a live view of the comprehensive architectural event coverage to the user/tester. The methodology can be implemented on an operating system environment and also as a standalone/bare-metal tool.
摘要翻译：后硅测试装置，方法和计算机程序产品提供运行时覆盖测量方法来测量硬件中的架构事件。跟踪和记录从指令和架构状态变化中识别的所有架构事件的测量。还提供了一种确保捕获可屏蔽事件的机制。通过运行时覆盖测量启用反馈驱动的测试生成方法。运行时覆盖率测量系统向用户/测试者呈现了综合架构事件覆盖的实时视图。该方法可以在操作系统环境中实现，也可以作为独立/裸机工具实现。

6. 发明申请

US20130111032A1 CLOUD OPTIMIZATION USING WORKLOAD ANALYSIS 有权
标题翻译：使用工作分析的云优化
公开(公告)号：US20130111032A1
公开(公告)日：2013-05-02
申请号：US13283683
申请日：2011-10-28
申请人： Sangram Alapati , Prathiba Kumar , Gowri Shankar Palani , Rajan Ravindran , Satish Kumar Sadasivam
发明人： Sangram Alapati , Prathiba Kumar , Gowri Shankar Palani , Rajan Ravindran , Satish Kumar Sadasivam
IPC分类号： G06F15/173
CPC分类号： G06F9/5072
摘要： A method, system, and computer program product for cloud optimization using workload analysis are provided in the illustrative embodiments. An architecture of a workload received for execution in a cloud computing environment is identified. The cloud computing environment includes a set of cloud computing resources. A section of the workload is identified and marked for static analysis. Static analysis is performed on the section to determine a characteristic of the workload. A subset of the set of cloud computing resources is selected such that a cloud competing resource in the subset is available for allocating to the workload and has a characteristic that matches the characteristic of the workload as determined from the static analysis. The subset of cloud computing resources is suggested to a job scheduler for scheduling the workload for execution.
摘要翻译：在说明性实施例中提供了使用工作负载分析的用于云优化的方法，系统和计算机程序产品。识别在云计算环境中执行的工作负载的体系结构。云计算环境包括一组云计算资源。工作负载的一部分被识别并标记为静态分析。在该部分执行静态分析以确定工作负载的特征。选择云计算资源集合的子集，使得子集中的云竞争资源可用于分配给工作负载，并且具有与从静态分析确定的工作负载的特性相匹配的特征。云计算资源的子集被建议给作业调度器，用于调度执行的工作负载。

7. 发明授权

US08914515B2 Cloud optimization using workload analysis 有权
标题翻译：使用工作负载分析进行云优化
公开(公告)号：US08914515B2
公开(公告)日：2014-12-16
申请号：US13283683
申请日：2011-10-28
申请人： Sangram Alapati , Prathiba Kumar , Gowri Shankar Palani , Rajan Ravindran , Satish Kumar Sadasivam
发明人： Sangram Alapati , Prathiba Kumar , Gowri Shankar Palani , Rajan Ravindran , Satish Kumar Sadasivam
IPC分类号： G06F15/173 , G06F9/50
CPC分类号： G06F9/5072
摘要： A system, and computer program product for cloud optimization using workload analysis are provided in the illustrative embodiments. An architecture of a workload received for execution in a cloud computing environment is identified. The cloud computing environment includes a set of cloud computing resources. A section of the workload is identified and marked for static analysis. Static analysis is performed on the section to determine a characteristic of the workload. A subset of the set of cloud computing resources is selected such that a cloud computing resource in the subset is available for allocating to the workload and has a characteristic that matches the characteristic of the workload as determined from the static analysis. The subset of cloud computing resources is suggested to a job scheduler for scheduling the workload for execution.
摘要翻译：在说明性实施例中提供了使用工作负载分析的用于云优化的系统和计算机程序产品。识别在云计算环境中执行的工作负载的体系结构。云计算环境包括一组云计算资源。工作负载的一部分被识别并标记为静态分析。在该部分执行静态分析以确定工作负载的特征。选择云计算资源集合的子集，使得子集中的云计算资源可用于分配给工作负载，并且具有与从静态分析确定的工作负载的特性相匹配的特征。云计算资源的子集被建议给作业调度器，用于调度执行的工作负载。

8. 发明授权

US08838801B2 Cloud optimization using workload analysis 有权
标题翻译：使用工作负载分析进行云优化
公开(公告)号：US08838801B2
公开(公告)日：2014-09-16
申请号：US13549774
申请日：2012-07-16
申请人： Sangram Alapati , Prathiba Kumar , Gowri Palani , Rajan Ravindran , Satish Kumar Sadasivam
发明人： Sangram Alapati , Prathiba Kumar , Gowri Palani , Rajan Ravindran , Satish Kumar Sadasivam
IPC分类号： G06F15/173
CPC分类号： G06F9/5072
摘要： A method for cloud optimization using workload analysis is provided in the illustrative embodiments. An architecture of a workload received for execution in a cloud computing environment is identified. The cloud computing environment includes a set of cloud computing resources. A section of the workload is identified and marked for static analysis. Static analysis is performed on the section to determine a characteristic of the workload. A subset of the set of cloud computing resources is selected such that a cloud computing resource in the subset is available for allocating to the workload and has a characteristic that matches the characteristic of the workload as determined from the static analysis. The subset of cloud computing resources is suggested to a job scheduler for scheduling the workload for execution.
摘要翻译：在说明性实施例中提供了使用工作负载分析的云优化的方法。识别在云计算环境中执行的工作负载的体系结构。云计算环境包括一组云计算资源。工作负载的一部分被识别并标记为静态分析。在该部分执行静态分析以确定工作负载的特征。选择云计算资源集合的子集，使得子集中的云计算资源可用于分配给工作负载，并且具有与从静态分析确定的工作负载的特性相匹配的特征。云计算资源的子集被建议给作业调度器，用于调度执行的工作负载。

9. 发明申请

US20130111035A1 CLOUD OPTIMIZATION USING WORKLOAD ANALYSIS 有权
标题翻译：使用工作分析的云优化
公开(公告)号：US20130111035A1
公开(公告)日：2013-05-02
申请号：US13549774
申请日：2012-07-16
申请人： Sangram Alapati , Prathiba Kumar , Gowri Palani , Rajan Ravindran , Satish Kumar Sadasivam
发明人： Sangram Alapati , Prathiba Kumar , Gowri Palani , Rajan Ravindran , Satish Kumar Sadasivam
IPC分类号： G06F15/173
CPC分类号： G06F9/5072
摘要： A method for cloud optimization using workload analysis is provided in the illustrative embodiments. An architecture of a workload received for execution in a cloud computing environment is identified. The cloud computing environment includes a set of cloud computing resources. A section of the workload is identified and marked for static analysis. Static analysis is performed on the section to determine a characteristic of the workload. A subset of the set of cloud computing resources is selected such that a cloud computing resource in the subset is available for allocating to the workload and has a characteristic that matches the characteristic of the workload as determined from the static analysis. The subset of cloud computing resources is suggested to a job scheduler for scheduling the workload for execution.
摘要翻译：在说明性实施例中提供了使用工作负载分析的云优化的方法。识别在云计算环境中执行的工作负载的体系结构。云计算环境包括一组云计算资源。工作负载的一部分被识别并标记为静态分析。在该部分执行静态分析以确定工作负载的特征。选择云计算资源集合的子集，使得子集中的云计算资源可用于分配给工作负载，并且具有与从静态分析确定的工作负载的特性相匹配的特征。云计算资源的子集被建议给作业调度器，用于调度执行的工作负载。

10. 发明申请

US20120084028A1 Framework and Methodology for a Real-Time Fine-Grained Power Profiling with Integrated Modeling 审中-公开
标题翻译：用于实时精细电力分析的框架和方法与集成建模
公开(公告)号：US20120084028A1
公开(公告)日：2012-04-05
申请号：US12895074
申请日：2010-09-30
申请人： Prathiba Kumar , Satish Kumar Sadasivam , Giri M. Prabhakar
发明人： Prathiba Kumar , Satish Kumar Sadasivam , Giri M. Prabhakar
IPC分类号： G06F19/00 , G01R21/00
CPC分类号： G06F1/329 , G06F1/3206 , G06F11/3466 , Y02D10/24 , Y02D10/34
摘要： A method, a system and a computer program product for determining power consumption levels for granular segments of program code in a data processing system. A power profiling utility (PPU) utilizes/comprises a power monitoring module, a power profiler module, a performance profiler and a power modeling component which enables PPU to efficiently characterize power consumption of various types of applications. The PPU uses a power measurement device to obtain power consumption measurements corresponding to execution of a first code segment. Additionally, the PPU identifies information about program characteristics of granular code segments within the first code segment. The PPU then determines total power consumption for execution of the first code segment from an aggregation of power consumption measurements corresponding to all iterations of the first code segment. Ultimately, the PPU derives from the total power consumption calculated for the first code segment a finer grained power profile by using the program characteristics information and power modeling information.
摘要翻译：一种用于确定数据处理系统中的程序代码的粒度段的功率消耗水平的方法，系统和计算机程序产品。功率分析实用程序（PPU）利用/包括电源监控模块，功率分析器模块，性能分析器和功率建模组件，使PPU有效地表征各种类型应用的功耗。 PPU使用功率测量装置来获得与执行第一代码段相对应的功耗测量。此外，PPU识别关于第一代码段内的粒度代码段的程序特征的信息。然后，PPU从与第一代码段的所有迭代对应的功耗测量的聚合中确定用于执行第一代码段的总功耗。最终，PPU通过使用程序特征信息和功率建模信息，从针对第一代码段计算的总功耗中获得更细粒度功率分布。

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