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公开(公告)号：US10943324B2
公开(公告)日：2021-03-09
申请号：US16360604
申请日：2019-03-21
Inventor： Jinchao Gao , Yi Li , Wei Xue , Xing Jin
Abstract: A data processing method is described. A processor provides different training data sets to a plurality of graphics processing units (GPUs), respectively. The processor controls the plurality of GPUs to generate respective sets of modification parameters by performing respective training processes in a parallel manner using respectively managed versions of a predictive model according to the corresponding training data sets. The processor controls the plurality of GPUs to exchange, before completion of the respective training processes, at least a portion of the sets of modification parameters that have been generated by the plurality of GPUs. The processor also causes the plurality of GPUs to modify the respectively managed versions of the predictive model according to at least the portion of the sets of modification parameters exchanged among the plurality of GPUs.
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2.发明授权公开(公告)号：US09607355B2
公开(公告)日：2017-03-28
申请号：US15107475
申请日：2015-06-19
Inventor： Yongqiang Zou , Yi Li , Xing Jin , Bin Xiao , Zhimao Guo , Wei Xue , Bo Chen , Yong Li , Lei Xiao
CPC classification number: G06T1/20 , G06F9/48 , G06T2200/28
Abstract: A parallel data processing method based on multiple graphic processing units (GPUs) is provided, including: creating, in a central processing unit (CPU), a plurality of worker threads for controlling a plurality of worker groups respectively, the worker groups including a plurality of GPUs; binding each worker thread to a corresponding GPU; loading one batch of training data from a nonvolatile memory to a GPU video memory corresponding to one worker group; transmitting, between a plurality of GPUs corresponding to one worker group, data required by data processing performed by the GPUs through peer to peer; and controlling the plurality of GPUs to perform data processing in parallel through the worker threads.
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Patent Agency Ranking
公开(公告)号：US10832284B2
公开(公告)日：2020-11-10
申请号：US15643961
申请日：2017-07-07
Inventor： Chuanjiang Luo , Lei Xiao , Dapeng Liu , Lili Zhao , Peili Lv , Xue Bai , Jinjing Liu , Wei Xue , Miao Xu , Yang Wang
Abstract: A method and device for processing promotion information and a system are provided. The method includes that: agreement information and exposure requirements of all promotion information within a preset period are acquired (101); directional delivered targets are determined according to the agreement information and the exposure requirements, and the directional delivered targets are split into multiple non-intersected delivered target sets (102); the promotion information is delivered to users corresponding to the corresponding delivered target sets according to the exposure requirements (103); statistics about social propagation amounts of to the delivered promotion information is made in real time in a delivery process (104); and exposure parameters are corrected according to the social propagation amounts (105), so that delivery of the promotion information is regulated in real time. By the method, the effectiveness and accuracy of delivering the promotion information may be improved.
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公开(公告)号：US11151451B2
公开(公告)日：2021-10-19
申请号：US16026784
申请日：2018-07-03
Inventor： Yi Li , Xing Jin , Shubin Zhang , Zhimao Guo , Wei Xue
Abstract: A data processing method in a data processing device is provided. First to-be-processed data input into a neural network are obtained. Iterative training is performed on the neural network for a first preset number of times by using first target data in the first to-be-processed data, to obtain a seed model of the neural network. First newly added data generated after an elapse of time corresponding to the first time window is obtained, and the first newly added data and the first to-be-processed data are combined into second to-be-processed data. Iterative training is performed on the seed model for a second preset number of times by using second target data in the second to-be-processed data, to obtain a first incremental model of the neural network. A first preset area overlaps between the second time window and the first time window. The first incremental model online is published.
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5.发明申请DATA PARALLEL PROCESSING METHOD AND APPARATUS BASED ON MULTIPLE GRAPHIC PROCESSING UNITS 审中-公开基于多个图形处理单元的数据并行处理方法和装置公开(公告)号：US20160321777A1
公开(公告)日：2016-11-03
申请号：US15210278
申请日：2016-07-14
Inventor： Xing Jin , Yi Li , Yongqiang Zou , Zhimao Guo , Eryu Wang , Wei Xue , Bo Chen , Yong Li , Chunjian Bao , Lei Xiao
CPC classification number: G06T1/20 , G06F9/5016 , G06F9/5027 , G06F9/52 , G06N3/0454 , G06N3/063 , G06N3/084 , G06T1/60
Abstract: A parallel data processing method based on multiple graphic processing units (GPUs) is provided, including: creating, in a central processing unit (CPU), a plurality of worker threads for controlling a plurality of worker groups respectively, the worker groups including one or more GPUs; binding each worker thread to a corresponding GPU; loading a plurality of batches of training data from a nonvolatile memory to GPU video memories in the plurality of worker groups; and controlling the plurality of GPUs to perform data processing in parallel through the worker threads. The method can enhance efficiency of multi-GPU parallel data processing. In addition, a parallel data processing apparatus is further provided.
Abstract translation: 提供了一种基于多个图形处理单元（GPU）的并行数据处理方法，包括：在中央处理单元（CPU）中分别创建多个用于控制多个工作者组的工作线程，所述工作人员组包括一个或 更多GPU 将每个工作线程绑定到相应的GPU; 将多批培训数据从非易失性存储器加载到多个工作者组中的GPU视频存储器; 并且通过工作线程并行地控制多个GPU来执行数据处理。 该方法可以提高多GPU并行数据处理的效率。 另外，还提供并行数据处理装置。
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公开(公告)号：US10282809B2
公开(公告)日：2019-05-07
申请号：US15210278
申请日：2016-07-14
Inventor： Xing Jin , Yi Li , Yongqiang Zou , Zhimao Guo , Eryu Wang , Wei Xue , Bo Chen , Yong Li , Chunjian Bao , Lei Xiao
Abstract: A parallel data processing method based on multiple graphic processing units (GPUs) is provided, including: creating, in a central processing unit (CPU), a plurality of worker threads for controlling a plurality of worker groups respectively, the worker groups including one or more GPUs; binding each worker thread to a corresponding GPU; loading a plurality of batches of training data from a nonvolatile memory to GPU video memories in the plurality of worker groups; and controlling the plurality of GPUs to perform data processing in parallel through the worker threads. The method can enhance efficiency of multi-GPU parallel data processing. In addition, a parallel data processing apparatus is further provided.
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7.发明申请Model Parallel Processing Method and Apparatus Based on Multiple Graphic Processing Units 有权基于多个图形处理单元的模型并行处理方法和装置公开(公告)号：US20160321776A1
公开(公告)日：2016-11-03
申请号：US15107475
申请日：2015-06-19
Inventor： Yongqiang Zou , Yi Li , Xing Jin , Bin Xiao , Zhimao Guo , Wei Xue , Bo Chen , Yong Li , Lei Xiao
IPC: G06T1/20
CPC classification number: G06T1/20 , G06F9/48 , G06T2200/28
Abstract: A parallel data processing method based on multiple graphic processing units (GPUs) is provided, including: creating, in a central processing unit (CPU), a plurality of worker threads for controlling a plurality of worker groups respectively, the worker groups including a plurality of GPUs; binding each worker thread to a corresponding GPU; loading one batch of training data from a nonvolatile memory to a GPU video memory corresponding to one worker group; transmitting, between a plurality of GPUs corresponding to one worker group, data required by data processing performed by the GPUs through peer to peer; and controlling the plurality of GPUs to perform data processing in parallel through the worker threads.
Abstract translation: 提供了一种基于多个图形处理单元（GPU）的并行数据处理方法，包括：在中央处理单元（CPU）中分别创建多个用于控制多个工作者组的工作线程，所述工作人员组包括多个 的GPU; 将每个工作线程绑定到相应的GPU; 将一批训练数据从非易失性存储器加载到对应于一个工作者组的GPU视频存储器; 在对应于一个工作组的多个GPU之间传输由GPU通过对等设备执行的数据处理所需的数据; 并且通过工作线程并行地控制多个GPU来执行数据处理。
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