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公开(公告)号：US20210049047A1
公开(公告)日：2021-02-18
申请号：US16835236
申请日：2020-03-30
Applicant: Intel Corporation
Inventor： Huanxing Shen , Cong Li , Tai Huang
Abstract: Machine learning is utilized to analyze respective execution times of a plurality of tasks in a job performed in a distributed computing system to determine that a subset of the plurality of tasks are straggler tasks in the job, where the distributed computing system includes a plurality of computing devices. A supervised machine-learning algorithm is performed using a set of inputs including performance attributes of the plurality of tasks, where the supervised machine learning algorithm uses labels generated from determination of the set of straggler tasks, the performance attributes include respective attributes of the plurality of tasks observed during performance of the job, and applying the supervised learning algorithm results in identification of a set of rules defining conditions, based on the performance attributes of the plurality of tasks, indicative of which tasks will be straggler tasks in a job. Rule data is generated to describe the set of rules.
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公开(公告)号：US10355959B2
公开(公告)日：2019-07-16
申请号：US15357415
申请日：2016-11-21
Applicant: INTEL CORPORATION
Inventor： Manasi Deval , Jim Daubert , Eric K. Mann , Cong Li , Muralidhar Murali Rajappa , Anjaneya Reddy Chagam Reddy , David Wescott , Ramkumar Nagappan , Raed Kanjo
IPC: H04L12/28 , H04L12/26 , H04L29/08 , H04L1/16 , H04L12/24 , H04L12/851 , H04L12/931 , H04L29/06
Abstract: Examples are disclosed for determining or using server transaction latency information. In some examples, a network input/output device coupled to a server may be capable of time stamping information related to ingress request and egress response packets for a transaction. For these examples, elements of the server may be capable of determining transaction latency values based on the time stamped information. The determined transaction latency values may be used to monitor or manage operating characteristics of the server to include an amount of power provided to the server or an ability of the server to support one or more virtual servers. Other examples are described and claimed.
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公开(公告)号：US20180285766A1
公开(公告)日：2018-10-04
申请号：US15473820
申请日：2017-03-30
Applicant: Intel Corporation
Inventor： Huanxing Shen , Cong Li , Tai Huang
Abstract: Machine learning is utilized to analyze respective execution times of a plurality of tasks in a job performed in a distributed computing system to determine that a subset of the plurality of tasks are straggler tasks in the job, where the distributed computing system includes a plurality of computing devices. A supervised machine-learning algorithm is performed using a set of inputs including performance attributes of the plurality of tasks, where the supervised machine learning algorithm uses labels generated from determination of the set of straggler tasks, the performance attributes include respective attributes of the plurality of tasks observed during performance of the job, and applying the supervised learning algorithm results in identification of a set of rules defining conditions, based on the performance attributes of the plurality of tasks, indicative of which tasks will be straggler tasks in a job. Rule data is generated to describe the set of rules.
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公开(公告)号：US12259777B2
公开(公告)日：2025-03-25
申请号：US17348435
申请日：2021-06-15
Applicant: Intel Corporation
Inventor： Shen Zhou , Xiaoming Du , Cong Li , Kuljit S. Bains , Rajat Agarwal , Murugasamy K. Nachimuthu , Maciej Lawniczak , Chao Yan Tang , Mariusz Oriol
Abstract: A system can predict memory device failure through identification of correctable error patterns based on the memory architecture. The failure prediction can thus account for the circuit-level of the memory rather than the mere number or frequency of correctable errors. A failure prediction engine correlates hardware configuration of the memory device with correctable errors (CEs) detected in data of the memory device to predict an uncorrectable error (UE) based on the correlation.
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公开(公告)号：US11243814B2
公开(公告)日：2022-02-08
申请号：US16835236
申请日：2020-03-30
Applicant: Intel Corporation
Inventor： Huanxing Shen , Cong Li , Tai Huang
Abstract: Machine learning is utilized to analyze respective execution times of a plurality of tasks in a job performed in a distributed computing system to determine that a subset of the plurality of tasks are straggler tasks in the job, where the distributed computing system includes a plurality of computing devices. A supervised machine-learning algorithm is performed using a set of inputs including performance attributes of the plurality of tasks, where the supervised machine learning algorithm uses labels generated from determination of the set of straggler tasks, the performance attributes include respective attributes of the plurality of tasks observed during performance of the job, and applying the supervised learning algorithm results in identification of a set of rules defining conditions, based on the performance attributes of the plurality of tasks, indicative of which tasks will be straggler tasks in a job. Rule data is generated to describe the set of rules.
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Patent Agency Ranking
公开(公告)号：US20150222516A1
公开(公告)日：2015-08-06
申请号：US13976964
申请日：2012-12-18
Applicant: Jim DAUBERT , INTEL CORPORATION
Inventor： Manasi Deval , Jim Daubert , Eric Mann , Cong Li , Muralidhar Murali Rajappa , Anjaneya Reddy Chagam Reddy , David Wescott , Ramkumar Nagappan , Raed Kanjo
IPC: H04L12/26 , H04L12/851 , H04L12/24 , H04L12/931 , H04L1/16 , H04L29/06
CPC classification number: H04L43/0888 , H04L1/1678 , H04L41/12 , H04L41/5032 , H04L43/0882 , H04L43/0894 , H04L43/106 , H04L47/2425 , H04L49/354 , H04L67/1029 , H04L67/148 , H04L69/161 , H04L69/22 , H04L69/28
Abstract: Examples are disclosed for determining or using server transaction latency information. In some examples, a network input/output device coupled to a server may be capable of time stamping information related to ingress request and egress response packets for a transaction. For these examples, elements of the server may be capable of determining transaction latency values based on the time stamped information. The determined transaction latency values may be used to monitor or manage operating characteristics of the server to include an amount of power provided to the server or an ability of the server to support one or more virtual servers. Other examples are described and claimed.
Abstract translation: 公开了用于确定或使用服务器事务延迟信息的示例。 在一些示例中，耦合到服务器的网络输入/输出设备可能能够时间标记与用于事务的入口请求和出口响应分组有关的信息。 对于这些示例，服务器的元件可以能够基于时间戳信息来确定事务等待时间值。 确定的事务延迟值可以用于监视或管理服务器的操作特性，以包括提供给服务器的功率量或服务器支持一个或多个虚拟服务器的能力。 其他的例子被描述和要求保护。
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公开(公告)号：US20230086101A1
公开(公告)日：2023-03-23
申请号：US18057476
申请日：2022-11-21
Applicant: Intel Corporation
Inventor： Cong Li , Kuljit Bains , Shen Zhou
Abstract: Systems, apparatuses and methods may provide for technology that identifies a plurality of fully correctable patterns associated with an error correction code (ECC) in a memory controller, detects one or more correctable errors in a memory module coupled to the memory controller, and generates an alert if an error-bit pattern of the one or more correctable errors does not match one or more of the plurality of fully correctable patterns.
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公开(公告)号：US09503347B2
公开(公告)日：2016-11-22
申请号：US13976964
申请日：2012-12-18
Applicant: INTEL CORPORATION
Inventor： Manasi Deval , Jim Daubert , Eric Mann , Cong Li , Muralidhar Murali Rajappa , Anjaneya Reddy Chagam Reddy , David Wescott , Ramkumar Nagappan , Raed Kanjo
IPC: G06F11/00 , H04J1/16 , H04L1/00 , H04L12/26 , H04L29/08 , H04L1/16 , H04L12/24 , H04L12/851 , H04L12/931 , H04L29/06
CPC classification number: H04L43/0888 , H04L1/1678 , H04L41/12 , H04L41/5032 , H04L43/0882 , H04L43/0894 , H04L43/106 , H04L47/2425 , H04L49/354 , H04L67/1029 , H04L67/148 , H04L69/161 , H04L69/22 , H04L69/28
Abstract: Examples are disclosed for determining or using server transaction latency information. In some examples, a network input/output device coupled to a server may be capable of time stamping information related to ingress request and egress response packets for a transaction. For these examples, elements of the server may be capable of determining transaction latency values based on the time stamped information. The determined transaction latency values may be used to monitor or manage operating characteristics of the server to include an amount of power provided to the server or an ability of the server to support one or more virtual servers. Other examples are described and claimed.
Abstract translation: 公开了用于确定或使用服务器事务延迟信息的示例。 在一些示例中，耦合到服务器的网络输入/输出设备可能能够时间标记与用于事务的入口请求和出口响应分组有关的信息。 对于这些示例，服务器的元件可以能够基于时间戳信息来确定事务等待时间值。 确定的事务延迟值可以用于监视或管理服务器的操作特性，以包括提供给服务器的功率量或服务器支持一个或多个虚拟服务器的能力。 其他的例子被描述和要求保护。
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公开(公告)号：US08914157B2
公开(公告)日：2014-12-16
申请号：US13923010
申请日：2013-06-20
Applicant: Intel Corporation
Inventor： Cong Li , Haoyu Hannibal Gao , Rui Jian
CPC classification number: G06F1/26 , G06F1/3203
Abstract: Embodiments of the invention relate generally to the field of power management of computer systems, and more particularly to a method and apparatus for dynamically allocating power to servers in a server rack. The method comprises: measuring power consumption of a computer system having one or more servers; estimating probability distribution of power demand for each of the one or more servers, the estimation based on the measured power consumption; estimating performance loss via the estimated probability distribution; computing power capping limits for each of the one or more servers, the computation based on the estimated probability distribution and the performance loss; and dynamically allocating the power capping limits to each of the one or more servers by modifying previous power capping limits of each of the one or more servers.
Abstract translation: 本发明的实施例一般涉及计算机系统的电力管理领域，更具体地涉及一种用于向服务器机架中的服务器动态分配电力的方法和装置。 该方法包括：测量具有一个或多个服务器的计算机系统的功耗; 估计一个或多个服务器中的每个服务器的功率需求的概率分布，基于所测量的功耗的估计; 通过估计概率分布估计性能损失; 计算每个一个或多个服务器的功率限制限制，基于估计的概率分布和性能损失的计算; 以及通过修改所述一个或多个服务器中的每一个的先前的功率限制限制来动态地将所述功率限制限制分配给所述一个或多个服务器中的每一个。
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公开(公告)号：US10607155B2
公开(公告)日：2020-03-31
申请号：US15473820
申请日：2017-03-30
Applicant: Intel Corporation
Inventor： Huanxing Shen , Cong Li , Tai Huang
Abstract: Machine learning is utilized to analyze respective execution times of a plurality of tasks in a job performed in a distributed computing system to determine that a subset of the plurality of tasks are straggler tasks in the job, where the distributed computing system includes a plurality of computing devices. A supervised machine-learning algorithm is performed using a set of inputs including performance attributes of the plurality of tasks, where the supervised machine learning algorithm uses labels generated from determination of the set of straggler tasks, the performance attributes include respective attributes of the plurality of tasks observed during performance of the job, and applying the supervised learning algorithm results in identification of a set of rules defining conditions, based on the performance attributes of the plurality of tasks, indicative of which tasks will be straggler tasks in a job. Rule data is generated to describe the set of rules.
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