Abstract: Some embodiments provide a method for generating microsegmentation recommendations, performed by a network monitoring service implemented in a public cloud to monitor data flows for a group of datacenters. The method receives a selection of a set of logical network compute nodes (LNCNs) located at a particular datacenter for which to generate recommended rules. The method analyzes flows collected by the network monitoring service in order to generate a set of recommended rules relating to the set of LNCNs. The method provides the set of rules to a local manager at the particular datacenter for the local manager to configure network elements at the particular datacenter to enforce the set of rules. The rules use compute node identifiers for LNCNs located at the particular datacenter and network addresses for LNCNs located at other datacenters as the local manager does not store data regarding compute nodes located at the other datacenters.

Abstract: A method for integrating buffer views into buffer access operations in a reconfigurable computing environment includes detecting, in an instruction stream for a reconfigurable dataflow unit (RDU), a buffer allocation statement comprising a tensor indexing expression, a buffer view indicator and one or more buffer view parameters. The method also includes lowering the buffer view parameters into the indexing expression according to the buffer view indicator to produce a modified tensor indexing expression, removing the buffer view indicator from the buffer allocation statement to produce a modified buffer allocation statement and allocating a buffer according to the modified buffer allocation statement. The modified buffer allocation statement may include the modified tensor indexing expression. A corresponding system and computer readable medium are also disclosed herein.

Abstract: An electronic device obtains N frames of images, and then obtains a first operation performed by a user on a target object on a screen. The electronic device displays a target box whose area cyclically changes, obtains information about the target box in an Nth frame of image based on a second operation performed by the user on the target object, and determines a feature vector of the target object based on the information about the target box.

Abstract: A method for integrating buffer views into buffer access operations in a reconfigurable computing environment includes detecting, in an instruction stream for a reconfigurable dataflow unit (RDU), a buffer allocation statement comprising a tensor indexing expression, a buffer view indicator and one or more buffer view parameters. The method also includes lowering the buffer view parameters into the indexing expression according to the buffer view indicator to produce a modified tensor indexing expression, removing the buffer view indicator from the buffer allocation statement to produce a modified buffer allocation statement and allocating a buffer according to the modified buffer allocation statement. The modified buffer allocation statement may include the modified tensor indexing expression. A corresponding system and computer readable medium are also disclosed herein.

Abstract: In a method a compiler performs a trial compilation to a low level (LL) intermediate representation (IR) of a high level (HL) decision to execute a dataflow application on a computing system. The LLIR comprises hardware resources to execute the application based on the HL decision and the compiler determines a trial result based on LL execution metrics associated with the trail compilation. The compiler performs a trial compilation of a second HL decision to a second LLIR and determines a trial result based on LL execution metrics associated with the second trail compilation. The compiler evaluates the trial results and, based on the evaluations, selects one or both of the HL decisions for executing the dataflow application. A computer program product and a computing system can implement the method.

Abstract: A system includes a reconfigurable dataflow processor that comprises an array of compute units and an array of memory units interconnected with a switching fabric. The reconfigurable dataflow processor can be configured to execute a plurality of tensor indexing expressions and access the array of memory units according to a memory unit partitioning solution.

Abstract: A method for partitioning executable operations for a reconfigurable computing system includes receiving a set of expressions comprising a plurality of operations and dependencies for those operations, partitioning the plurality of operations into selected executable partitions wherein each selected executable partition conforms to resource constraints for a reconfigurable unit of the reconfigurable computing system. Partitioning the plurality of operations into selected executable partitions may include seeding a candidate partition with an operation, recursively generating an additional candidate partition for each operation adjacent to the candidate partition whose dependent operations are already within the candidate partition or a previously selected partition, and selecting a best candidate partition based on resource cost. A corresponding system and computer-readable medium are also disclosed herein.

Abstract: The present invention discloses is a multi-band hyperbolic frequency modulation spread spectrum communication method based on cross sub-band division. In the present solution, multi-band division of different sub-band quantities is performed on an available bandwidth of an underwater acoustic system according to the parity of the serial number of the current spread spectrum period to achieve the aim of cross sub-band division. On this basis, a plurality of divided sub-bands are grouped in pairs; for each group, sub-band selection is performed according to different transmitted data by using a sub-band selection and activation method to realize multi-band parallel transmission. Meanwhile, in each spread spectrum period, an activated sub-band performs frequency modulation on a modulated signal by using rising and falling hyperbolic frequency modulation signals respectively.

Abstract: A system includes a parser that receives and parses source code for a reconfigurable dataflow processor, a tensor expression extractor configured to extract tensor indexing expressions from the source code, a logical memory constraint generator that converts the tensor indexing expressions to logical memory indexing constraints, a grouping module that groups the logical memory indexing constraints into concurrent access groups and a memory partitioning module that determines a memory unit partitioning solution for each concurrent access group. The system also includes reconfigurable dataflow processor that comprises an array of compute units and an array of memory units interconnected with a switching fabric. The reconfigurable dataflow processor may be configured to execute the plurality of tensor indexing expressions and access the array of memory units according to the memory unit partitioning solution. A corresponding method and computer-readable medium are also disclosed herein.

Abstract: A system includes a parser that receives and parses source code for a reconfigurable dataflow processor, a tensor expression extractor configured to extract tensor indexing expressions from the source code, a logical memory constraint generator that converts the tensor indexing expressions to logical memory indexing constraints, a grouping module that groups the logical memory indexing constraints into concurrent access groups and a memory partitioning module that determines a memory unit partitioning solution for each concurrent access group. The system also includes reconfigurable dataflow processor that comprises an array of compute units and an array of memory units interconnected with a switching fabric. The reconfigurable dataflow processor may be configured to execute the plurality of tensor indexing expressions and access the array of memory units according to the memory unit partitioning solution. A corresponding method and computer-readable medium are also disclosed herein.

Abstract: Disclosed are an image selection method and an electronic device. In the method, an electronic device can detect feedback information related to a user operation. The feedback information may include an optimal image selected by a decision model and a changed optimal image. The feedback information may further include images that are deleted, browsed, added-to-favorites, or shared and operation records. The feedback information may further include a facial feature in a gallery and a proportion of images including the facial feature in the gallery. The electronic device adjusts, according to the feedback information, parameters of the decision model configured to perform image selection, to obtain an updated decision model. The electronic device can perform image selection according to the updated decision model. Through the implementation of the technical solution, a selected optimal image is more in line with user habits, thereby improving convenience.

Abstract: A video processing method is provided. The method includes obtaining a first video frame, determining that the first video frame includes at least one target object, determining a cropping box by using the at least one target object as a center, obtaining content in the cropping box, and displaying the content as a second video frame.