39 results about "Computation type" patented technology

The invention discloses a transform operation method, a transform operation device, a coordinate rotation digital computation method and a coordinate rotation digital computation device. A transform operation approximate evaluation method comprises the following steps: judging a type identifier of a function to be resolved, and searching for an iteration parameter corresponding to the type identifier; and according to the iteration parameter and the initial value of the function to be resolved, performing the iterative operation of the function to be resolved. In the invention, the corresponding iteration parameter is selected according to the preset type identifier; and when the methods and devices are used for resolving functions of different types, the configured and preset parameter of software are regulated, but the structure of hardware is not changed; one set of implementing resource is used to realize various computation types; and the implementation method is simple and normalized.

The invention discloses DPD (Digital Pre Distortion) self-adapting method and a device based on symmetric multiprocessors, wherein the method comprises the following steps of: carrying out correlation decoupling upon specific processing modules which meet preset decoupling conditions during a DPD self-adapting progress, obtaining a correlation decoupling result, wherein the decoupling conditions comprise a computation amount, a computation type, decoupling possibility, decoupling complexity, a decoupling risk and a decoupling efficiency speed-up ratio; carrying out parallel processing upon uncorrelated data which meets a preset correlation degree in the correlation decoupling result, obtaining parallel processing data; processing the parallel processing data by result merging, obtaining result merging data. By adopting the method and the device disclosed by the invention, load of different cores of the processors can be balanced, and synchronously, an execution speed can be improved effectively, the DPD self-adapting progress can be accelerated and convergence can be achieved, as a result, a non-linear change of a system can be preferably tracked, and efficiency and a performance of the system can be enhanced.

The invention belongs to the technical field of mathematical calculation, and discloses a calculation method and device for function derivation, calculation equipment and a storage medium. The methodcomprises the steps: enabling a calculator to obtain function information corresponding to a to-be-calculated function expression input by a user; extracting a target variable type contained in the function information, and determining a target equation type corresponding to the to-be-calculated functional expression according to the target variable type; searching a corresponding derivation calculation model in a preset model database according to the target equation type; constructing an auxiliary function according to the to-be-calculated functional expression, and searching a partial derivative result corresponding to the auxiliary function in a preset partial derivative database; and substituting the partial derivative result into the derivation calculation model, and obtaining a model output result. By means of the mode, various types of functions can be derived quickly and accurately, and the technical problems that in the prior art, derivation calculation is single in type, time is consumed in calculation, and accuracy is hard to guarantee are solved.

One or more embodiments of the present specification provide a method for scheduling calculation service for business process contracts. The method comprises the steps of running scheduling processes independent of the nodes on the node devices corresponding to at least part of the nodes, wherein the scheduling processes are used for scheduling the computing service processes independent of the nodes and running on the node devices. And for each calculation task in the business process contract, according to the calculation type of the calculation task, scheduling an available calculation service process corresponding to the calculation type on the same node equipment as a calculation service process serving the calculation task by the scheduling process corresponding to the node participating in the calculation task. In this way, in the process of executing the business process contract by the block chain network, the calculation service process occupied by each calculation task can be called through the scheduling process to execute the calculation task.

The invention provides a data processing method and related equipment. The method comprises the following steps: acquiring a plurality of buried point data; determining a calculation type corresponding to each buried point data, and determining target buried point data according to the calculation type corresponding to the buried point data; or determining the calculation type and a calculation rule corresponding to each buried point data, and determining target buried point data according to the calculation type and the calculation rule corresponding to the buried point data; and processing the burying point data and the target burying point data to generate a business index. In the process, the slave library or the data warehouse does not need to be configured for storing the operation data of the system, and the operation data is subjected to related calculation to obtain the business indexes. As the slave library or the data warehouse does not need to be configured in each step involved in the embodiment of the invention, the operation cost of the system is greatly reduced.

The present invention discloses a method and device for realizing calculation tasks of LS-DYNA, wherein the realization method includes: obtaining calculation instructions input by users; analyzing the calculation instructions, determining the type of calculation and the calculation parameters contained in the calculation instructions ; Substituting the calculation parameters into the pre-configured calculation command statement corresponding to the calculation type, and executing the calculation command statement. With the help of the technical solution of the present invention, the realization process of the calculation task of LS-DYNA can be realized without using the command line, and the calculation task can be completed only through the simple operation based on the graphical interface, which greatly reduces the difficulty of operation, improves the execution efficiency, and reduces the error probability.

The invention discloses a transform operation method, a transform operation device, a coordinate rotation digital computation method and a coordinate rotation digital computation device. A transform operation approximate evaluation method comprises the following steps: judging a type identifier of a function to be resolved, and searching for an iteration parameter corresponding to the type identifier; and according to the iteration parameter and the initial value of the function to be resolved, performing the iterative operation of the function to be resolved. In the invention, the corresponding iteration parameter is selected according to the preset type identifier; and when the methods and devices are used for resolving functions of different types, the configured and preset parameter of software are regulated, but the structure of hardware is not changed; one set of implementing resource is used to realize various computation types; and the implementation method is simple and normalized.

The embodiment of the invention provides a data processing method and device and a computer readable storage medium, and the method comprises the steps: receiving an acceleration task from a DSP, theacceleration task carrying a calculation type and calculation data; determining hardware corresponding to the calculation type and a driving function of the hardware, wherein the hardware is a specialchip for operator operation in deep learning; and driving the hardware by the driving function to process the calculation data. According to the embodiment of the invention, the data processing efficiency can be improved.

An SoC maintains the full flexibility of a general-purpose microprocessor while providing energy efficiency similar to an ASIC by implementing software-controlled virtual hardware architectures that enable the SoC to function as a virtual ASIC. The SoC comprises a plurality of “Stella” Reconfigurable Multiprocessors (SRMs) supported by a Network-on-a-Chip that provides efficient data transfer during program execution. A hierarchy of programmable switches interconnects the programmable elements of each of the SRMs at different levels to form their virtual architectures. Arithmetic, data flow, and interconnect operations are also rendered programmable. An architecture index” points to a storage location where pre-determined hardware architectures are stored and extracted during program execution. The programmed architectures are able to mimic ASIC properties such as variable computation types, bit-resolutions, data flows, and amount and proportions of compute and data flow operations and sizes. Once established, each architecture remains in place as long as needed.

The invention relates to the technical field of communication, and discloses a signaling service subsystem. The signaling service subsystem comprises a processing method acquiring module and a counter value calculating module, wherein the processing method acquiring module is used for acquiring a processing mode of a current counter from pre-set start index positions, recorded in a counter information list, of all types of counters of a counter group and an index position of the current counter, the counters of the same processing modes are the counters of the same type, indexes of each type of counters are continuous, the counter value calculating module is used for carrying out accumulation to a value of the current counter and times of the current counter, and calculating the value of the current counter according to the processing mode. The invention further discloses an expanding counter processing system and method comprising the signaling service subsystem. According to the signaling service subsystem and the expanding counter processing system and method, the counters with the same processing mode are classified as a type, only the start index positions of each type of counters are provided, a maintenance-redundant messy calculating type list of an expanding calculator is avoided, and maintenance is convenient.

The invention provides a work order management method, device, equipment and readable storage medium. The method includes: when there is an equivalent work order that can be equivalent to the current work order, obtaining the calculation type of the preventive maintenance action, and the calculation type is the first calculation type, the second calculation type, the third calculation type and the fourth calculation type. Any one of the calculation types; according to the calculation type of the preventive maintenance action and the equivalent work order, set a related work order associated with the equivalent work order. Through the present invention, when the current work order is equivalent to the equivalent work order, the related work order associated with the equivalent work order is automatically set according to the calculation type of the preventive maintenance action and the equivalent work order, which saves manual operation, Improved work order setup efficiency, resulting in more efficient preventive maintenance actions.

The invention relates to the field of power systems, in particular to an online assistant decision making method for large power grid restoration. Corresponding steps of the online assistant decision making method are carried out in different selected working modes, and the working modes include a real-time assistant mode and a research and analysis mode. The online assistant decision making method has the advantages that the merit that dispatchers and equipment operators of a power plant and a transformer substation are familiar with the traditional plan type system restoration scheme when the traditional plan type system restoration scheme is adopted is kept in the real-time assistant mode, the work intensity of plan formulation personnel is relieved, the assistant decision making speediness, accuracy and reliability for power system restoration are embodied, and shortcomings that an actual condition of a power grid which is developed quickly is inconsistent with a designed condition of a plan, restoration paths involved in the plan are infeasible and the like are overcome specifically; almost all computation types which are possibly involved in formulating a common power grid black-start scheme are integrated in the research and analysis mode, typical power grid partition computation for large power grid restoration is added into the research and analysis mode, a scheme draft generating function can be realized, and the expenditure of time spent on integrating different result files is greatly saved.

The present invention provides a method for scheduling computing services for business process contracts. A node-independent scheduling process is run on node devices corresponding to at least some of the nodes, and the scheduling process is used to schedule a node-independent computing service process running on the node device. For each computing task in the business process contract, the scheduling process corresponding to the node participating in the computing task, according to the computing type of the computing task, assigns an occupied computing service process corresponding to the computing type on the same node device A computing service process scheduled to serve the computing task. In this way, in the process of executing the business process contract, the blockchain network can call the computing service process occupied by each computing task through the scheduling process to execute the computing task.