SYSTEM FOR AND METHOD OF CAPTURING PERFORMANCE CHARACTERISTICS DATA FROM A COMPUTER SYSTEM AND MODELING TARGET SYSTEM PERFORMANCE
    1.
    发明申请
    SYSTEM FOR AND METHOD OF CAPTURING PERFORMANCE CHARACTERISTICS DATA FROM A COMPUTER SYSTEM AND MODELING TARGET SYSTEM PERFORMANCE 审中-公开
    从计算机系统获取性能特征数据的系统和方法以及建模目标系统性能

    公开(公告)号:WO2009022239A2

    公开(公告)日:2009-02-19

    申请号:PCT/IB2008/003292

    申请日:2008-03-26

    CPC classification number: G06F11/3447 G06F11/3466 G06F2201/88 G06F2201/885

    Abstract: A system for, method of and computer program product captures performance- characteristic data from the execution of a program and models system performance based on that data. Performance-characterization data based on easily captured reuse distance metrics is targeted, defined as the total number of memory references between two accesses to the same piece of data. Methods for efficiently capturing this kind of metrics are described. These data can be refined into easily interpreted performance metrics, such as performance data related to caches with LRU replacement and random replacement strategies in combination with fully associative as well as limited associativity cache organizations. Methods for assessing cache utilization as well as parallel execution are covered.

    Abstract translation: 系统,方法和计算机程序产品从执行程序捕获性能特征数据,并根据该数据对系统性能进行建模。 基于容易捕获的复用距离度量的性能表征数据被定义为两次访问同一数据块之间的存储器引用的总数。 描述有效捕获这种度量的方法。 这些数据可以被简化为易于解释的性能指标,例如与具有LRU替换的缓存和随机替换策略相关联的性能数据以及完全关联以及有限关联缓存组织。 涵盖了评估缓存利用率和并行执行的方法。

    METHOD AND APPARATUS FOR PRE-CLASSIFYING PACKETS
    2.
    发明申请
    METHOD AND APPARATUS FOR PRE-CLASSIFYING PACKETS 审中-公开
    用于预分类分组的方法和装置

    公开(公告)号:WO2012127321A1

    公开(公告)日:2012-09-27

    申请号:PCT/IB2012/000680

    申请日:2012-03-16

    CPC classification number: H04L69/22 H04L45/70 H04L45/74 H04L47/2441 H04L67/10

    Abstract: The disclosed embodiments relate to a system that provides an intelligent port infrastructure for communication network devices. This is accomplished by incorporating a highly configurable pre-classifier module into the port infrastructure. This pre-classifier makes it possible to realign packet data to add a configurable number of bytes to the front of the packet, and also to select interesting data from incoming packets for further analysis. The selected data is sent into a configurable classification engine, which generates instructions that specify how to determine associated packet attributes. The packet attributes are then generated based on the instructions, and are forwarded along with the packet to downstream processing units.

    Abstract translation: 所公开的实施例涉及为通信网络设备提供智能端口基础设施的系统。 这通过将高度可配置的预分类器模块并入端口基础设施来实现。 该预分类器使得可以重新分配分组数据以在分组的前面添加可配置的字节数,并且还从输入分组中选择感兴趣的数据用于进一步分析。 所选择的数据被发送到可配置的分类引擎中,其生成指定如何确定相关联的分组属性的指令。 然后基于指令生成分组属性,并且与分组一起被转发到下游处理单元。

    CAPTURING PERFORMANCE CHARACTERISTICS DATA FROM A COMPUTER SYSTEM AND MODELING TARGET SYSTEM PERFORMANCE
    3.
    发明申请
    CAPTURING PERFORMANCE CHARACTERISTICS DATA FROM A COMPUTER SYSTEM AND MODELING TARGET SYSTEM PERFORMANCE 审中-公开
    从计算机系统获取性能特征数据和建模目标系统性能

    公开(公告)号:WO2009022239A3

    公开(公告)日:2009-12-30

    申请号:PCT/IB2008003292

    申请日:2008-03-26

    CPC classification number: G06F11/3447 G06F11/3466 G06F2201/88 G06F2201/885

    Abstract: A system for, method of and computer program product captures performance- characteristic data from the execution of a program and models system performance based on that data. Performance-characterization data based on easily captured reuse distance metrics is targeted, defined as the total number of memory references between two accesses to the same piece of data. Methods for efficiently capturing this kind of metrics are described. These data can be refined into easily interpreted performance metrics, such as performance data related to caches with LRU replacement and random replacement strategies in combination with fully associative as well as limited associativity cache organizations. Methods for assessing cache utilization as well as parallel execution are covered.

    Abstract translation: 系统,方法和计算机程序产品从执行程序捕获性能特征数据,并根据该数据对系统性能进行建模。 基于容易捕获的复用距离度量的性能表征数据被定义为两次访问同一数据块之间的存储器引用的总数。 描述有效捕获这种度量的方法。 这些数据可以被简化为易于解释的性能指标,例如与具有LRU替换的缓存和随机替换策略相关联的性能数据以及完全关联以及有限关联缓存组织。 涵盖了评估缓存利用率和并行执行的方法。

    SYSTEM FOR AND METHOD OF CAPTURING APPLICATION CHARACTERISTICS FROM A COMPUTER SYSTEM AND MODELING TARGET SYSTEM
    4.
    发明申请
    SYSTEM FOR AND METHOD OF CAPTURING APPLICATION CHARACTERISTICS FROM A COMPUTER SYSTEM AND MODELING TARGET SYSTEM 审中-公开
    从计算机系统和建模目标系统获取应用特征的系统及方法

    公开(公告)号:WO2008058292A3

    公开(公告)日:2008-10-02

    申请号:PCT/US2007084365

    申请日:2007-11-09

    Abstract: A system for, method of and computer program product captures performance characteristic data from the execution of a program and models system performance based on that data. Performance-characterization data (140) based on easily captured reuse distance metric is targeted, defined as the total number of memory references (230) between two accesses to the same piece of data (240). Methods for efficiently capturing this kind of metrics are described. These data can be refined into easily interpreted performance metrics, such as performance data related to caches with LRU replacement and random replacement strategies in combination with fully associative as well as limited associativity cache organaziations (330). Methods for assesing cache utilization as well as parallel execution are covered.

    Abstract translation: 系统,方法和计算机程序产品从执行程序中捕获性能特征数据,并根据该数据对系统性能进行建模。 基于容易捕获的重用距离度量的性能特征数据(140)被定义为在对相同数据(240)的两次访问之间的存储器引用的总数(230)。 描述有效捕获这种度量的方法。 这些数据可以被简化为易于解释的性能指标,例如与具有LRU替换的缓存和随机替换策略相关联的完整关联以及有限关联高速缓存组织的性能数据(330)。 涵盖缓存利用率以及并行执行的方法。

    SYSTEM FOR AND METHOD OF CAPTURING APPLICATION CHARACTERISTICS DATA FROM A COMPUTER SYSTEM AND MODELING TARGET SYSTEM
    5.
    发明申请
    SYSTEM FOR AND METHOD OF CAPTURING APPLICATION CHARACTERISTICS DATA FROM A COMPUTER SYSTEM AND MODELING TARGET SYSTEM 审中-公开
    从计算机系统和建模目标系统获取应用特征数据的系统和方法

    公开(公告)号:WO2007145903A3

    公开(公告)日:2009-02-12

    申请号:PCT/US2007013169

    申请日:2007-06-05

    Abstract: A system for, method of and computer program product captures performance- characteristic data from the execution of a program and models system performance based on that data. Performance-characterization data based on easily captured reuse distance metrics is targeted, defined as the total number of memory references between two accesses to the same piece of data. Methods for efficiently capturing this kind of metrics are described. These data can be refined into easily interpreted performance metrics, such as performance data related to caches with LRU replacement and random replacement strategies in combination with fully associative as well as limited associativity cache organizations.

    Abstract translation: 系统,方法和计算机程序产品从执行程序捕获性能特征数据,并根据该数据对系统性能进行建模。 基于容易捕获的复用距离度量的性能表征数据被定义为两次访问同一数据块之间的存储器引用的总数。 描述有效捕获这种度量的方法。 这些数据可以被简化为易于解释的性能指标,例如与具有LRU替换的缓存和随机替换策略相关联的性能数据以及完全关联以及有限关联缓存组织。

    SYSTEM FOR AND METHOD OF CAPTURING APPLICATION CHARACTERISTICS FROM A COMPUTER SYSTEM AND MODELING TARGET SYSTEM
    6.
    发明申请
    SYSTEM FOR AND METHOD OF CAPTURING APPLICATION CHARACTERISTICS FROM A COMPUTER SYSTEM AND MODELING TARGET SYSTEM 审中-公开
    从计算机系统和建模目标系统获取应用特征的系统及方法

    公开(公告)号:WO2008058292A2

    公开(公告)日:2008-05-15

    申请号:PCT/US2007/084365

    申请日:2007-11-09

    Abstract: A system for, method of and computer program product captures performance-characteristic data from the execution of a program and models system performance based on that data. Performance-characterization data based on easily captured reuse distance metrics is targeted, defined as the total number of memory references between two accesses to the same piece of data. Methods for efficiently capturing this kind of metrics are described. These data can be refined into easily interpreted performance metrics, such as performance data related to caches with LRU replacement and random replacement strategies in combination with fully associative as well as limited associativity cache organizations. Methods for assessing cache utilization as well as parallel execution are covered.

    Abstract translation: 系统,方法和计算机程序产品从执行程序中捕获性能特征数据,并根据该数据对系统性能进行建模。 基于容易捕获的复用距离度量的性能表征数据被定义为两次访问同一数据块之间的存储器引用的总数。 描述有效捕获这种度量的方法。 这些数据可以被简化为易于解释的性能指标,例如与具有LRU替换的缓存和随机替换策略相关联的性能数据以及完全关联以及有限关联缓存组织。 涵盖了评估缓存利用率和并行执行的方法。

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