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公开(公告)号：US20210241169A1
公开(公告)日：2021-08-05
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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公开(公告)号：US20200042938A1
公开(公告)日：2020-02-06
申请号：US16052560
申请日：2018-08-01
发明人： Joao P. Goncalves , Parijat Dube
摘要： A method and system of simulating a cost of shipment are provided. A request for quote (RFQ) is received by a computing device from a shipper having a plurality of trade lanes. A revenue generated from each trade lane is estimated and ranked based on the estimated revenue. An original time limit is assigned to each trade lane. A trade lane with a highest ranking that has not yet been selected is selected. For the selected trade lane, graphs for space and time granularity analysis are generated. Space and time granularities that maximize accuracy within the assigned time limit based on the generated graphs are calculated. Cost simulation analysis is performed using the calculated space and time granularities. Upon determining that there are trade lanes not yet selected, there is a return to the act of selecting a trade lane.
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公开(公告)号：US10127275B2
公开(公告)日：2018-11-13
申请号：US14328933
申请日：2014-07-11
发明人： Sameh Asaad , Parijat Dube , Balakrishna R. Iyer , Hong Min , Bharat Sukhwani , Mathew S. Thoennes
IPC分类号： G06F17/30
摘要： Methods and arrangements for mapping a query operation to an accelerator are provided. The method includes receiving, by a processor, a query operation and determining the design logic of the query operation, receiving a configuration of one or more available accelerators and a design logic of each of the one or more available accelerators, and determining if the query operation can be offloaded to one or more of the one or more available accelerators. Based on a determination that the query operation can be offloaded to one or more of the one or more available accelerators, the method also includes creating software structures to interface with a selected accelerator and executing the query operation on the selected accelerator. Based on a determination that the query operation cannot be offloaded to one or more of the one or more available accelerators, the method further includes executing the query operation in software.
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公开(公告)号：US10089352B2
公开(公告)日：2018-10-02
申请号：US15372653
申请日：2016-12-08
发明人： Sameh W. Asaad , Parijat Dube , Hong Min , Bharat Sukhwani , Matthew S. Thoennes
摘要： 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：US10007609B2
公开(公告)日：2018-06-26
申请号：US15057259
申请日：2016-03-01
IPC分类号： G06F15/167 , G06F12/084 , G06F12/08 , G06F17/30 , G06F9/455 , G06F12/0864
CPC分类号： G06F12/084 , G06F9/45558 , G06F12/08 , G06F12/0864 , G06F16/00 , 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.
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公开(公告)号：US09916135B2
公开(公告)日：2018-03-13
申请号：US15008571
申请日：2016-01-28
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.
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47.发明授权公开(公告)号：US09513967B2
公开(公告)日：2016-12-06
申请号：US14489664
申请日：2014-09-18
发明人： Parijat Dube , Li Zhang
CPC分类号： G06F9/4881 , G06F9/5005 , G06F9/5011 , G06F9/5027
摘要： In an approach for scheduling the execution of a workload in a computing environment, a computer receives a request for scheduling execution of a computing job, wherein the computing job includes a plurality of computing tasks to be executed in a sequence, and wherein at least one computing task requires access to a set of data. The computer identifies information related to the computing environment, wherein the information comprises at least processors available to execute each computing task of the plurality of computing tasks and storage device proximity to the processors. The computer determines an execution configuration for the computing job based, at least in part, on the received request, the information related to the computing environment, and current utilization of the processors' resources. The computer schedules execution of the execution configuration for the computing job.
摘要翻译： 在计算环境中调度执行工作负载的方法中，计算机接收对计划作业的执行进行调度的请求，其中所述计算作业包括要按顺序执行的多个计算任务，并且其中至少一个 计算任务需要访问一组数据。 计算机识别与计算环境有关的信息，其中该信息至少包括可用于执行多个计算任务的每个计算任务的处理器和存储设备与处理器接近的处理器。 所述计算机至少部分地基于所接收的请求，与所述计算环境相关的信息以及所述处理器的资源的当前利用来确定所述计算作业的执行配置。 计算机计划执行计算作业的执行配置。
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公开(公告)号：US20160321609A1
公开(公告)日：2016-11-03
申请号：US14700626
申请日：2015-04-30
IPC分类号： G06Q10/08
CPC分类号： G06Q10/08355 , G06Q10/08345 , G06Q10/0838
摘要： A method includes obtaining a demand specification specifying a plurality of multi-modal freight shipment scenarios, each of the multi-modal freight shipment scenarios including at least a destination and an origin, generating, with a booking tool, a plurality of feasible multi-modal routes for each of the multi-modal freight shipment scenarios using route information from a carrier database, determining a plurality of business compliant routes among the plurality of feasible multi-modal routes for each of the multi-modal freight shipment scenarios using a rules specification specifying different business rules for each of the multi-modal freight shipment scenarios, comparing the multi-modal freight shipment scenarios by the business compliant routes determined for each respective one of the multi-modal freight shipment scenarios, and identifying at least one business rule, among the different business rules, affecting an aggregate cost-savings using the comparison of the multi-modal freight shipment scenarios.
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公开(公告)号：US20160142265A1
公开(公告)日：2016-05-19
申请号：US15008552
申请日：2016-01-28
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.
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公开(公告)号：US09336274B2
公开(公告)日：2016-05-10
申请号：US14018651
申请日：2013-09-05
发明人： Sameh W. Asaad , Parijat Dube , Hong Min , Bharat Sukhwani , Mathew S. Thoennes
CPC分类号： G06F17/30469 , G06F17/30463 , G06F17/30466 , G06F17/30477
摘要： Embodiments include methods, systems and computer program products for offloading multiple processing operations to an accelerator. Aspects include receiving a database query from an application, performing an analysis on the query, and identifying a plurality of available accelerators. Aspects further include retrieving cost information for one or more templates available on each of the plurality of available accelerators, determining a query execution plan based on the cost information and the analysis on the query, and offloading one or more query operations to at least one of the plurality of accelerators based on the query execution plan.
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