Abstract: Example implementations described herein are directed to systems and methods for generating a Network on Chip (NoC), which can involve determining a plurality of traffic flows from a NoC specification; grouping the plurality of traffic flows into a plurality of groups; utilizing a first machine learning algorithm to determine a sorting order on each of the plurality of groups of traffic flows; generating a list of traffic flows for NoC construction from the plurality of groups of traffic flows based on the sorting order; utilizing a second machine learning algorithm to select one or more mapping algorithms for each group of the plurality of groups of traffic flows for NoC construction; and generating the NoC based on a mapping from the selection of the one or more mapping algorithms.

Abstract: A method for masking content to be displayed on the electronic device is provided. The method includes receiving, by a processor in the electronic device, the content to be displayed on the electronic device, determining, by the processor, that at least one portion of the content is objectionable content based on a semantic signature of a content filter, and masking, by the processor, the at least one portion of the content displayed on the electronic device based on the detection.

Abstract: An electronic device and a method for providing content on the electronic device are provided. The method includes receiving webpages from information sources, extracting intent data related to an object in the webpages, transmitting the extracted intent data to a server, and receiving, from the server, a content list including a content index that is determined based on the transmitted intent data.

Abstract: A method and a system for dynamically modifying at least one element of a User Interface (UI) of a first electronic device are provided. The method includes collating usage information of at least one data source in the first electronic device, categorizing the collated usage information into one or more knowledge clusters, forming a knowledge graph using the one or more knowledge clusters, and dynamically modifying the at least one element of the UI based on the knowledge graph.

Abstract: Different example implementations of the present disclosure relates to methods and computer readable mediums for automatically generating physically aware NoC design and physically aware NoC Specification based on one or more of given SoC architectural details, physical information of SoC, traffic specification, power profile and one or more constraints. The method includes steps of receiving input information, determining the location/position of different NoC agents, interconnecting channels, pins, I/O interfaces, physical/virtual boundaries, number of layers, size/depth/width of different channels at different time, and locating/configuring the different NoC agents, interconnecting channels, pins, I/O interfaces, and physical/virtual boundaries.

Abstract: In an aspect, the present disclosure provides a method that comprises automatic generation of a NoC from specified topological information based on projecting NoC elements of the NoC onto a grid layout. In an aspect, the specified topological information, including specification of putting constraints on positions/locations of NoC elements and links thereof, can be input by a user in real space, and can then be projected on the grid layout.

Abstract: An apparatus and method for tracking content are provided. The apparatus is an electronic device that includes a communication circuit and a processor electrically connected to the communication circuit. The processor may be configured to receive information about a tracking target item from an external electronic device, to receive content from a content provider, determine a degree of semantic similarity between the tracking target item and the content, generate at least one update related to the tracking target item, based on the degree of semantic similarity, and send the at least one update to the external electronic device.

Abstract: A method and a system for dynamically modifying at least one element of a User Interface (UI) of a first electronic device are provided. The method includes collating usage information of at least one data source in the first electronic device, categorizing the collated usage information into one or more knowledge clusters, forming a knowledge graph using the one or more knowledge clusters, and dynamically modifying the at least one element of the UI based on the knowledge graph.

Abstract: The present disclosure is directed to buffer sizing of NoC link buffers by utilizing incremental dynamic optimization and machine learning. A method for configuring buffer depths associated with one or more network on chip (NoC) is disclosed. The method includes deriving characteristics of buffers associated with the one or more NoC, determining first buffer depths of the buffers based on the characteristics derived, obtaining traces based on the characteristics derived, measuring trace skews based on the traces obtained, determining second buffer depths based on the trace skews measured, optimizing the buffer depths associated with the network on chip (NoC) based on the second buffer depths, and configuring the buffer depths associated with one or more network on chip (NoC) based on the buffer depths optimized.

Abstract: The present disclosure is directed to Quality of Service (QoS) and handshake protocols to facilitate endpoint bandwidth allocation among one or more agents in a Network on Chip (NoC) for an endpoint agent. The QoS policy and handshake protocols may involve the use of credits for buffer allocation which are sent to agents in the NoC to compel the acceptance of data and the allocation of an appropriate buffer. Messages sent to the agent may also have a priority associated with the message, wherein higher priority messages have automatic bandwidth allocation and lower priority messages are processed using a handshake protocol.

Abstract: In an aspect, the present disclosure provides a method that comprises automatic generation of a NoC from specified topological information based on projecting NoC elements of the NoC onto a grid layout. In an aspect, the specified topological information, including specification of putting constraints on positions/locations of NoC elements and links thereof, can be input by a user in real space, and can then be projected on the grid layout.

Abstract: Systems and methods described herein are directed to streaming bridge design implementations that help interconnect and transfer transaction packets between multiple source and destination host interfaces through a Network on Chip (NoC) interconnect, which includes a plurality of NoC router layers and virtual channels (VCs) connecting the router layers. Implementations are configured to support a variety of different traffic profiles, each having a different set of traffic flows. Streaming bridge design implementation can divide streaming bridge into a streaming TX bridge and a streaming RX bridge, wherein TX bridge is operatively coupled with host TX interfaces and RX bridge is operatively coupled with host RX interfaces, and where TX bridge forwards transaction packets from host TX interfaces to different router layers/VCs of NoC, and RX bridge, on the other hand, receives packets from NoC router layers/VCs and transmits the packets to host RX interfaces based on Quality of Service.

Abstract: The present disclosure is directed to extracting features from a NoC for machine learning construction. Example implementations include a method for generating a Network on Chip (NoC), wherein the method can extract at least one feature from a NoC specification to derive at least one of: grid features, traffic features and topological features associated with the NoC. The method can perform a process on the at least one of the grid features, the traffic features and the topological features associated with the NoC to determine at least one of an evaluation of at least one mapping strategy selected from a plurality of mapping strategies of the NoC based on a quality metric, and the selection of the at least one mapping strategy is based on the quality metric. The method can further perform generate the NoC based on the process.

Abstract: An aspect of the present disclosure provides a hardware element in a Network on Chip (NoC), wherein the hardware element includes a clock gating circuit configures one or more neighboring hardware elements to activate before receiving new incoming data and to sleep after a defined number of cycles, wherein the defined number of cycles can be counted from a cycle having non-receipt of incoming data and/or having a clearance of all data within an input queue of a source hardware element.

Abstract: The present disclosure is directed to buffer sizing of NoC link buffers by utilizing incremental dynamic optimization and machine learning. A method for configuring buffer depths associated with one or more network on chip (NoC) is disclosed. The method includes deriving characteristics of buffers associated with the one or more NoC, determining first buffer depths of the buffers based on the characteristics derived, obtaining traces based on the characteristics derived, measuring trace skews based on the traces obtained, determining second buffer depths based on the trace skews measured, optimizing the buffer depths associated with the network on chip (NoC) based on the second buffer depths, and configuring the buffer depths associated with one or more network on chip (NoC) based on the buffer depths optimized.

Abstract: In an aspect, the present disclosure provides a method that comprises automatic generation of a NoC from specified topological information based on projecting NoC elements of the NoC onto a grid layout. In an aspect, the specified topological information, including specification of putting constraints on positions/locations of NoC elements and links thereof, can be input by a user in real space, and can then be projected on the grid layout.

Abstract: The present disclosure is directed to system-on-chip (SoC) optimization through transformation and generation of a network-on-chip (NoC) topology. The present disclosure enables transformation from physical placement to logical placement to satisfy bandwidth requirements while maintaining lowest area and lowest routing with minimum cost (wiring and buffering) and latency. In an aspect, method according to the present application includes the steps of receiving at least a floor plan description of an System-on-Chips (SoCs), transforming said floor plan description into at least one logical grid layout of one or more rows and one or more columns, optimizing a number of said one or more rows and said one or more columns based at least on any or combination of a power, an area, or a performance to obtain an optimized transformed logical grid layout, and generating said Network-on-Chip (NoC) topology at least from said optimized transformed logical grid layout.

Abstract: Example implementations described herein are directed to systems and methods for generating a Network on Chip (NoC), which can involve determining a plurality of traffic flows from a NoC specification; grouping the plurality of traffic flows into a plurality of groups; utilizing a first machine learning algorithm to determine a sorting order on each of the plurality of groups of traffic flows; generating a list of traffic flows for NoC construction from the plurality of groups of traffic flows based on the sorting order; utilizing a second machine learning algorithm to select one or more mapping algorithms for each group of the plurality of groups of traffic flows for NoC construction; and generating the NoC based on a mapping from the selection of the one or more mapping algorithms.

Abstract: Systems and methods of the present disclosure relate to automatically and/or dynamically generating one or more power management sequences for SoC and NoC architectures from a given input specification having one or a combination of NoC design specification, traffic specification, traffic profile, power profile information, initiator-consumer relationship, interdependency between components, retention information, external factors, among other allied configurations/information to enable efficient switching of one or more hardware elements from one power profile to another.

Abstract: Example implementations as described herein are directed to systems and methods for processing a NoC specification for a plurality of performance requirements of a NoC, and generating a plurality of NoCs, each of the plurality of NoCs meeting a first subset of the plurality of performance requirements. For each of the plurality of NoCs, the example implementations involve presenting a difference between an actual performance of the each of the plurality of NoCs and each performance requirement of a second subset of the plurality of performance requirements and one or more costs for each of the plurality of NoCs.