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31.发明授权Method, apparatus and computer programs providing cluster-wide page management 有权提供集群范围页面管理的方法，设备和计算机程序公开(公告)号：US09323677B2
公开(公告)日：2016-04-26
申请号：US13967857
申请日：2013-08-15
IPC分类号： G06F15/167 , G06F12/08 , G06F17/30
CPC分类号： G06F12/084 , G06F9/45558 , G06F12/08 , G06F12/0864 , G06F17/30 , G06F2009/45583 , G06F2212/152 , G06F2212/163 , G06F2212/62
摘要： A data processing system includes a plurality of virtual machines each having associated memory pages; a shared memory page cache that is accessible by each of the plurality of virtual machines; and a global hash map that is accessible by each of the plurality of virtual machines. The data processing system is configured such that, for a particular memory page stored in the shared memory page cache that is associated with two or more of the plurality of virtual machines, there is a single key stored in the global hash map that identifies at least a storage location in the shared memory page cache of the particular memory page. The system can be embodied at least partially in a cloud computing system.
摘要翻译： 数据处理系统包括多个虚拟机，每个虚拟机具有关联的存储器页面; 可由所述多个虚拟机中的每一个访问的共享存储器页面缓存; 以及可由所述多个虚拟机中的每一个访问的全局散列图。 数据处理系统被配置为使得对于存储在与多个虚拟机中的两个或更多个虚拟机相关联的共享存储器页面高速缓存中的特定存储器页面，存在存储在全局散列图中的单个密钥，其至少标识 特定存储器页面的共享存储器页面缓存中的存储位置。 该系统可以至少部分地体现在云计算系统中。
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公开(公告)号：US09300552B2
公开(公告)日：2016-03-29
申请号：US14554331
申请日：2014-11-26
发明人： Parijat Dube , Anshul Gandhi , Alexei Karve , Andrzej Kochut , Li Zhang
CPC分类号： G06F8/20 , G06F8/61 , G06F8/70 , G06F8/77 , G06F9/45558 , G06F2009/4557 , G06F2009/45595 , H04L41/12 , H04L41/14 , H04L41/5006 , H04L41/5054 , H04L67/10
摘要： A method for scaling a cloud infrastructure, comprises receiving at least one of resource-level metrics and application-level metrics, estimating parameters of at least one application based on the received metrics, automatically and dynamically determining directives for scaling application deployment based on the estimated parameters, and providing the directives to a cloud service provider to execute the scaling.
摘要翻译： 一种用于扩展云基础架构的方法，包括：接收资源级度量和应用级度量中的至少一个，基于所接收的度量来估计至少一个应用的参数，基于所估计的自动和动态地确定用于扩展应用程序部署的指令 参数，并向云服务提供商提供指令以执行缩放。
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公开(公告)号：US09235564B2
公开(公告)日：2016-01-12
申请号：US13946194
申请日：2013-07-19
发明人： Sameh W. Asaad , Parijat Dube , Hong Min , Bharat Sukhwani , Mathew S. Thoennes
CPC分类号： G06F17/30424 , G06F17/2705 , G06F17/30289 , G06F17/30315 , G06F17/30345 , G06F17/30442 , G06F17/30516
摘要： In an exemplary embodiment of this disclosure, a computer-implemented method includes determining that a database query warrants a first projection operation to project a plurality of input rows to a plurality of projected rows, where each of the plurality of input rows has one or more variable-length columns. A first projection control block is constructed, by a computer processor, to describe the first projection operation. The first projection operation is offloaded to a hardware accelerator. The first projection control block is provided to the hardware accelerator, and the first projection control block enables the hardware accelerator to perform the first projection operation at streaming rate.
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公开(公告)号：US09164814B2
公开(公告)日：2015-10-20
申请号：US14059624
申请日：2013-10-22
发明人： Parijat Dube , Xiaoqiao Meng , Li Zhang
CPC分类号： G06F9/54 , G06F9/445 , G06F9/4881 , G06F9/5083 , G06F2209/5019 , G06F2209/509
摘要： Predicting acceleration in a hybrid system may comprise determining a number of cross system calls in a first host-accelerator computer architecture running a workload. Host machine overhead and accelerator overhead in the first host-accelerator computer architecture associated with each of the cross system calls may be determined. Communication delay associated with each of the cross system calls in the first host-accelerator computer architecture running a workload may be determined. An application response time may be predicted for a candidate application to be run in a second host-accelerator computer architecture, based at least on the determined host machine overhead, the accelerator overhead, and the communication delay associated with each of the cross system calls in the first host-accelerator computer architecture running a workload.
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公开(公告)号：US20150254111A1
公开(公告)日：2015-09-10
申请号：US14718607
申请日：2015-05-21
发明人： Parijat Dube , Xiaoqiao Meng , Li Zhang
CPC分类号： G06F9/54 , G06F9/445 , G06F9/4881 , G06F9/5083 , G06F2209/5019 , G06F2209/509
摘要： Predicting acceleration in a hybrid system may comprise determining a number of cross system calls in a first host-accelerator computer architecture running a workload. Host machine overhead and accelerator overhead in the first host-accelerator computer architecture associated with each of the cross system calls may be determined. Communication delay associated with each of the cross system calls in the first host-accelerator computer architecture running a workload may be determined. An application response time may be predicted for a candidate application to be run in a second host-accelerator computer architecture, based at least on the determined host machine overhead, the accelerator overhead, and the communication delay associated with each of the cross system calls in the first host-accelerator computer architecture running a workload.
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公开(公告)号：US20150046486A1
公开(公告)日：2015-02-12
申请号：US14018646
申请日：2013-09-05
发明人： Sameh W. Asaad , Parijat Dube , Hong Min , Bharat Sukhwani , Mathew S. Thoennes
IPC分类号： G06F17/30
CPC分类号： G06F17/30442
摘要： Embodiments include methods, systems and computer program products a for offloading multiple processing operations to an accelerator includes receiving, by a processing device, a database query from an application. The method also includes performing analysis on the database query and selecting an accelerator template from a plurality of accelerator templates based on the analysis of the database query. The method further includes transmitting an indication of the accelerator template to the accelerator and executing at least a portion of the database query on the accelerator.
摘要翻译： 实施例包括用于将多个处理操作卸载到加速器的方法，系统和计算机程序产品a包括由处理设备从应用程序接收数据库查询。 该方法还包括基于数据库查询的分析，对数据库查询执行分析并从多个加速器模板中选择加速器模板。 该方法还包括将加速器模板的指示传送到加速器并且在加速器上执行数据库查询的至少一部分。
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公开(公告)号：US20150046427A1
公开(公告)日：2015-02-12
申请号：US13961089
申请日：2013-08-07
发明人： Sameh W. Asaad , Parijat Dube , Hong Min , Bharat Sukhwani , Mathew S. Thoennes
IPC分类号： G06F17/30
CPC分类号： G06F17/30442
摘要： Embodiments include methods, systems and computer program products a for offloading multiple processing operations to an accelerator includes receiving, by a processing device, a database query from an application. The method also includes performing analysis on the database query and selecting an accelerator template from a plurality of accelerator templates based on the analysis of the database query. The method further includes transmitting an indication of the accelerator template to the accelerator and executing at least a portion of the database query on the accelerator.
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公开(公告)号：US11727309B2
公开(公告)日：2023-08-15
申请号：US17452596
申请日：2021-10-28
发明人： Parijat Dube , Gauri Joshi , Priya Ashok Nagpurkar , Stefania Costache , Diana Jeanne Arroyo , Zehra Noman Sura
摘要： Techniques for estimating runtimes of one or more machine learning tasks are provided. For example, one or more embodiments described herein can regard a system that can comprise a memory that stores computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise an extraction component that can extract a parameter from a machine learning task. The parameter can define a performance characteristic of the machine learning task. Also, the computer executable components can comprise a model component that can generate a model based on the parameter. Further, the computer executable components can comprise an estimation component that can generate an estimated runtime of the machine learning task based on the model. The estimated runtime can define a period of time beginning at an initiation of the machine learning task and ending at a completion of the machine learning task.
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公开(公告)号：US11604961B2
公开(公告)日：2023-03-14
申请号：US16399358
申请日：2019-04-30
摘要： A neural network models fragmenting method, system, and computer program product include recursively factoring out common prefixes of models, constructing a hierarchy of decomposed model fragments based on the factoring, and grouping the constructed hierarchy for deployment.
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公开(公告)号：US11551145B2
公开(公告)日：2023-01-10
申请号：US16782713
申请日：2020-02-05
发明人： Sidharth Gupta , Parijat Dube , Ashish Verma
摘要： Systems, computer-implemented methods, and computer program products that can facilitate switching a model training process from a ground truth training phase to an adversarial training phase based on performance of a model trained in the ground truth training phase are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an analysis component that identifies a performance condition of a model trained in a model training process. The computer executable components can further comprise a trainer component that switches the model training process from a ground truth training process to an adversarial training process based on the identified performance condition.
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