CROSS-LAYER SYSTEM ARCHITECTURE DESIGN
    1.
    发明申请
    CROSS-LAYER SYSTEM ARCHITECTURE DESIGN 有权
    跨层系统架构设计

    公开(公告)号:US20120131389A1

    公开(公告)日:2012-05-24

    申请号:US13299578

    申请日:2011-11-18

    IPC分类号: G06F11/34 G06F11/30 G06F11/00

    摘要: Methods and systems for cross-layer forgiveness exploitation include executing one or more applications using a processing platform that includes a first reliable processing core and at least one additional processing core having a lower reliability than the first processing core, modifying application execution according to one or more best-effort techniques to improve performance, and controlling parameters associated with the processing platform and the best-effort layer that control performance and error rate such that performance is maximized in a region of low hardware-software interference.

    摘要翻译: 用于跨层宽恕开发的方法和系统包括使用包括第一可靠处理核心和至少一个具有比第一处理核心更低可靠性的附加处理核心的处理平台执行一个或多个应用程序,根据一个或多个 更精心的技术来提高性能,以及控制与处理平台相关的参数和尽力而为的层,以控制性能和错误率,使得在低硬件 - 软件干扰的区域中性能最大化。

    Cross-layer system architecture design
    2.
    发明授权
    Cross-layer system architecture design 有权
    跨层系统架构设计

    公开(公告)号:US08762794B2

    公开(公告)日:2014-06-24

    申请号:US13299578

    申请日:2011-11-18

    IPC分类号: G06F11/00

    摘要: Methods and systems for cross-layer forgiveness exploitation include executing one or more applications using a processing platform that includes a first reliable processing core and at least one additional processing core having a lower reliability than the first processing core, modifying application execution according to one or more best-effort techniques to improve performance, and controlling parameters associated with the processing platform and the best-effort layer that control performance and error rate such that performance is maximized in a region of low hardware-software interference.

    摘要翻译: 用于跨层宽恕开发的方法和系统包括使用包括第一可靠处理核心和至少一个具有比第一处理核心更低可靠性的附加处理核心的处理平台执行一个或多个应用程序,根据一个或多个 更精心的技术来提高性能,以及控制与处理平台相关的参数和尽力而为的层,以控制性能和错误率,使得在低硬件 - 软件干扰的区域中性能最大化。

    SYSTEMS AND METHODS FOR IMPLEMENTING BEST-EFFORT PARALLEL COMPUTING FRAMEWORKS
    3.
    发明申请
    SYSTEMS AND METHODS FOR IMPLEMENTING BEST-EFFORT PARALLEL COMPUTING FRAMEWORKS 有权
    实施最佳平衡计算框架的系统和方法

    公开(公告)号:US20100088492A1

    公开(公告)日:2010-04-08

    申请号:US12399195

    申请日:2009-03-06

    IPC分类号: G06F9/30

    摘要: Implementations of the present principles include Best-effort computing systems and methods. In accordance with various exemplary aspects of the present principles, a application computation requests directed to a processing platform may be intercepted and classified as either guaranteed computations or best-effort computations. Best-effort computations may be dropped to improve processing performance while minimally affecting the end result of application computations. In addition, interdependencies between best-effort computations may be relaxed to improve parallelism and processing speed while maintaining accuracy of computation results.

    摘要翻译: 本原则的实施包括尽力而为的计算系统和方法。 根据本原理的各种示例性方面,针对处理平台的应用计算请求可被截取并分类为保证计算或尽力而为计算。 可以降低最大的努力以提高处理性能,同时最小程度上影响应用程序计算的最终结果。 此外,可以放宽努力计算之间的相互依赖性,以提高并行性和处理速度,同时保持计算结果的准确性。

    Systems and methods for implementing best-effort parallel computing frameworks
    4.
    发明授权
    Systems and methods for implementing best-effort parallel computing frameworks 有权
    实现尽力而为并行计算框架的系统和方法

    公开(公告)号:US08286172B2

    公开(公告)日:2012-10-09

    申请号:US12399195

    申请日:2009-03-06

    IPC分类号: G06F9/46

    摘要: Implementations of the present principles include Best-effort computing systems and methods. In accordance with various exemplary aspects of the present principles, a application computation requests directed to a processing platform may be intercepted and classified as either guaranteed computations or best-effort computations. Best-effort computations may be dropped to improve processing performance while minimally affecting the end result of application computations. In addition, interdependencies between best-effort computations may be relaxed to improve parallelism and processing speed while maintaining accuracy of computation results.

    摘要翻译: 本原则的实施包括尽力而为的计算系统和方法。 根据本原理的各种示例性方面,针对处理平台的应用计算请求可被截取并分类为保证计算或尽力而为计算。 可以降低最大的努力以提高处理性能,同时最小程度上影响应用程序计算的最终结果。 此外,可以放宽努力计算之间的相互依赖性,以提高并行性和处理速度,同时保持计算结果的准确性。

    PARTITIONED ITERATIVE CONVERGANCE PROGRAMMING MODEL
    5.
    发明申请
    PARTITIONED ITERATIVE CONVERGANCE PROGRAMMING MODEL 审中-公开
    分类迭代汇编编程模型

    公开(公告)号:US20120084747A1

    公开(公告)日:2012-04-05

    申请号:US13235988

    申请日:2011-09-19

    IPC分类号: G06F9/44

    摘要: Methods and systems for iterative convergence include performing at least one global iteration. Each global iteration includes partitioning input data into multiple input data partitions according to an input data partitioning function, partitioning a model into multiple model partitions according to a model partitioning function, performing at least one local iteration using a processor to compute sub-problems formed from a model partition and an input data partition to produce multiple locally updated models, and combining the locally updated models from the at least one local iteration according to a model merging function to produce a merged model.

    摘要翻译: 用于迭代收敛的方法和系统包括执行至少一个全局迭代。 每个全局迭代包括根据输入数据分区功能将输入数据分割成多个输入数据分区,根据模型划分功能将模型划分为多个模型分区,使用处理器执行至少一个局部迭代,以计算从 模型分区和输入数据分区,以产生多个本地更新的模型,以及根据模型合并功能组合来自至少一个局部迭代的本地更新的模型以产生合并的模型。

    System-level power estimation using heteregeneous power models
    9.
    发明申请
    System-level power estimation using heteregeneous power models 审中-公开
    使用真实电力模型的系统级功率估计

    公开(公告)号:US20060080076A1

    公开(公告)日:2006-04-13

    申请号:US11200393

    申请日:2005-08-09

    IPC分类号: G06G7/54 G06F17/50

    CPC分类号: G06F17/5022 G06F2217/78

    摘要: A power estimation framework based on a network of power monitors that observe component- and system-level execution and power statistics at run time. Based on those statistics, the power monitors (i) select between multiple alternative power models for each component and/or (ii) configure the component power models to best negotiate the trade-off between efficiency and accuracy. This approach effectuates a co-coordinated, adaptive, spatio-temporal allocation of computational effort for power estimation. This approach yields large reductions in power estimation overhead while minimally impacting power estimation accuracy.

    摘要翻译: 基于功率监视器网络的功率估计框架,其在运行时观察组件和系统级执行和功率统计。 基于这些统计,功率监视器(i)为每个组件选择多个替代功率模型,和/或(ii)配置组件功率模型以最佳地协商效率和精度之间的折衷。 这种方法实现了功率估计的计算工作的共同协调的,适应性的时空分配。 这种方法在最小程度上影响功率估计精度的同时,功率估计开销大幅降低。