SYSTEM AND METHOD FOR DISTRIBUTED RESOURCE REQUIREMENT AND ALLOCATION

    公开(公告)号:WO2019057045A1

    公开(公告)日:2019-03-28

    申请号:PCT/CN2018/106350

    申请日:2018-09-19

    Abstract: Duration information indicative of an amount of time taken by each of one or more tasks of a distributed compute phase of a distributed compute job in a distributed compute cluster to execute is obtained. The one or more tasks are sorted into one or more groups based on the duration information and a resource requirement is determined for each of the one or more groups. A time-varying allocation of resources of the distributed compute cluster for the phase is determined based on the resource requirement for each of the one or more groups.

    METHOD FOR IMAGE SEARCHING AND SYSTEM THEREOF
    2.
    发明申请
    METHOD FOR IMAGE SEARCHING AND SYSTEM THEREOF 审中-公开
    图像搜索方法及系统

    公开(公告)号:WO2017148259A1

    公开(公告)日:2017-09-08

    申请号:PCT/CN2017/073501

    申请日:2017-02-14

    CPC classification number: G06F3/0482 G06F16/54 G06F16/583 G06F16/951

    Abstract: The present disclosure is drawn to methods and systems for providing a representative image for a search result in a search result listing of a searching system. At least one search result based on a search query is received. Each search result has a plurality of images. For each search result, a similarity score for at least some of the images is computed, based on a similarity with the search query. Then, at least one of the images is selected, on the basis of the similarity score, and the selected image is assigned as the representative image of the search result. A number of modification steps may be performed on the search result prior to computing the similarity score. The search result and assigned representative image may also be presented in a search result listing.

    Abstract translation: 本公开涉及用于为搜索系统的搜索结果列表中的搜索结果提供代表性图像的方法和系统。 接收基于搜索查询的至少一个搜索结果。 每个搜索结果具有多个图像。 对于每个搜索结果,基于与搜索查询的相似度来计算至少一些图像的相似度分数。 然后,基于相似度分数选择至少一个图像,并且将所选择的图像分配为搜索结果的代表性图像。 在计算相似度分数之前,可以对搜索结果执行多个修改步骤。 搜索结果和分配的代表图像也可以呈现在搜索结果列表中。

    METHOD AND APPARATUS FOR VECTORIZED RESOURCE SCHEDULING IN DISTRIBUTED COMPUTING SYSTEMS USING TENSORS

    公开(公告)号:WO2021051772A1

    公开(公告)日:2021-03-25

    申请号:PCT/CN2020/080895

    申请日:2020-03-24

    Abstract: There is provided a method and apparatus for vectorized resource scheduling using multi-dimensional hierarchical arrays with a uniform data type. According to embodiments, the hierarchy of resources may be represented as a multi-dimensional array of a uniform data type in a scheduling context. This data structure is known as a tensor. In various embodiments, a tensor may be used to model each of resource usage, requested resources, resource capabilities, tenant resource usage, etc. There is provided tensor scheduling operations (e. g., tensor scheduling algorithms) to make use of this resource model. Some embodiments may exploit specialized hardware, such as GPUs and tensor-processing units, in order to accelerate the tensor scheduling operations.

    SYSTEM AND METHOD FOR VISUALIZATION OF COMPUTE WORKFLOW

    公开(公告)号:WO2018113396A1

    公开(公告)日:2018-06-28

    申请号:PCT/CN2017/106107

    申请日:2017-10-13

    Abstract: A system and method for visualization of a compute workflow are provided. Workflow data indicative of one or more jobs executed in each computation stage of each instance of the compute workflow and job data indicative of one or more tasks executed by each of the one or more jobs are obtained. Each of the one or more tasks is associated with a corresponding computation stage. For each instance of the compute workflow, a visual representation of a resource utilization over time of each of the one or more tasks executed in each computation stage is generated. The visual representation is rendered for multiple instances of the compute workflow on a common timeline.

    ORIENTATION-BASED SUBJECT-MATCHING IN IMAGES
    6.
    发明申请
    ORIENTATION-BASED SUBJECT-MATCHING IN IMAGES 审中-公开
    基于方向的主题匹配在图像中

    公开(公告)号:WO2017129115A1

    公开(公告)日:2017-08-03

    申请号:PCT/CN2017/072507

    申请日:2017-01-24

    Abstract: A system and method for subject-matching in images comprises detecting a first orientation of a first subject in a target image; comparing the first orientation with a second orientation of a second subject in a source image to obtain at least one orientation parameter; extracting at least one features from the target image; computing a visual similarity score between the target image and the source image using the features, the visual similarity score being computed as a function of the at least one feature and the at least one orientation parameter; and determining a match between the first subject and the second subject in accordance with the visual similarity score.

    Abstract translation: 用于图像中的对象匹配的系统和方法包括:检测目标图像中的第一对象的第一方向; 将所述第一取向与源图像中的第二主体的第二取向进行比较以获得至少一个取向参数; 从目标图像提取至少一个特征; 使用所述特征来计算所述目标图像与所述源图像之间的视觉相似性分数,所述视觉相似性分数作为所述至少一个特征和所述至少一个取向参数的函数来计算; 并根据视觉相似性分数确定第一主体和第二主体之间的匹配。

Patent Agency Ranking