A method for planning the design of partitions for a programmable gate array comprising different types of logic blocks of predetermined position, and a plurality of program routines comprising at least one first program routine and at least one further program routine. A mapping of a first partition of the programmable gate array with the first program routine and at least one further partition of the programmable gate array with the at least one further program routine is performed. The need of the first program routine for the individual types of logic blocks is determined. Meeting this need with the logic block resources of corresponding type available in the first partition. At least one logic block of corresponding type from the further partition or at least one of the further partitions into the first partition is transferred.

Qualifying networks properties that can be used for topology generation of networks, such as a network-on-chip (NoC). In accordance with various embodiments and different aspects of the invention, quality metrics are generated, analyzed, and used to determine a quantitative quality set of values for a given generated solution for a network. The method disclosed allows the network designer or an automated network generation process to determine if the results produced are a good, an average or a bad solution. The advantage of the invention includes simplification of design process and the work of the designer by using quality metrics. Various quality metrics are generated using network definitions. These quality metrics provide quality evaluation and the quality assessment of the optimization process for a generated (optimized) network. The quality metrics include analyzing latency through a network and analyzing total wire length used by the network.

Disclosed is a method of operating a system-on-chip automatic design device. The system-on-chip automatic design device includes a first synthesizer and a second synthesizer. The method includes generating a first code, based on information of a first signal and information of a second signal that are used in a first IP (Intellectual Property) block, classifying a first signal code corresponding to the first signal and a second signal code corresponding to the second signal from the first code, synthesizing, through the first synthesizer, a first communication architecture configured to transmit the first signal, based on the classified first signal code, and synthesizing, through the second synthesizer, a second communication architecture configured to transmit the second signal based on the classified second signal code.

An integrated circuit includes an intellectual property core, scan data pipeline circuitry configured to convey scan data to the intellectual property core, and scan control pipeline circuitry configured to convey one or more scan control signals to the intellectual property core. The integrated circuit also includes a wave shaping circuit configured to detect a trigger event on the one or more scan control signals and, in response to detecting the trigger event, suppress a scan clock to the intellectual property core for a selected number of clock cycles.

A process is disclosed that automatically creates a network-on-chip (NoC) very quickly using a set of constraints, which are requirements for the NoC. The process takes a set of constraints as inputs and produces a NoC with all its elements configured and a placement of such elements on the floorplan of the chip.

Resource estimation for implementing circuit designs in an integrated circuit (IC) can include detecting, using computer hardware, a plurality of Intellectual Property (IP) cores within a circuit design, extracting, using the computer hardware and from the circuit design, parameterizations for the plurality of IP cores as used in the circuit design, and selecting, using the computer hardware, a machine learning (ML) model corresponding to each IP core, wherein each selected ML model is specific to the corresponding IP core. Each selected ML model can be provided input specifying a target IC for the circuit design and the parameterization for the corresponding IP core. An estimate of resource usage for the circuit design can be generated by executing the selected ML models. The resource usage specifies an amount of resources of the target IC needed to implement the circuit design in the target IC.

Failure mode, effects, and diagnostic analysis (FMEDA) is performed on hardware Intellectual Property (IP) of an electronic system. The analysis includes accessing a library of safety library components, each safety library component containing failure mode characterizations and safety data about a hardware model; and compiling the safety library components and the hardware IP. The compiling includes mapping instances of hardware models in the hardware IP to corresponding safety library components and aggregating the characterizations and safety data of the corresponding components.

The present disclosure discloses a method and an apparatus for testing an artificial intelligence chip test, a device and a storage medium, and relates to the field of artificial intelligence. The specific implementation solution is: the target artificial intelligence chip has multiple same arithmetic units, the method includes: obtaining scale information of the target artificial intelligence chip; determining whether the target artificial intelligence chip satisfies a test condition of an arithmetic unit array level according to the scale information; dividing all the arithmetic units into multiple same arithmetic unit arrays, and performing a DFT test on the arithmetic unit arrays, respectively, if it is determined that the test condition of the arithmetic unit array level is satisfied; performing the DFT test on the arithmetic units, respectively, if it is not determined that the test condition of the arithmetic unit array level is not satisfied.

A tool for executing performance-aware topology synthesis of a network, such as a network-on-chip (NoC). The tool is provided with network information. The tool uses the network information to automatically stabilizes data width and clock speed for each element in the network that meet the network's constraints and performance requirements. The tool is able to provide the performance-aware topology synthesis rapidly, while honoring the objectives and the network's constraints.

Systems and methods are disclosed that implement a tool for executing performance-aware topology synthesis of a network, such as a network-on-chip (NoC). The tool is provided with network information. The tool uses the network information to automatically determine data width and clock speed for each element in the network that meet the network's constraints and performance requirements. The tool is able to provide the performance-aware topology synthesis rapidly, while honoring the objectives and the network's constraints.