48results about How to "Full use of computing power" patented technology

The embodiment of the invention provides a model-based prediction method and device, and the method comprises the steps: enabling a model operation environment to receive an input tensor of a machinelearning model; enabling the model operation environment to send a table look-up request to the embedded operation environment, wherein the table look-up request comprises the input tensor so as to request to perform low-dimensional conversion on the input tensor; enabling the model operation environment to receive a table look-up result returned by the embedded operation environment, wherein thetable look-up result is obtained by performing embedded query and processing on the embedded operation environment according to the input tensor; and enabling the model operation environment to inputthe table look-up result into a machine learning model, and operate the machine learning model to complete model-based prediction.

The invention relates to a power network planning construction method based on network reconstruction and optimized load-flow simulating calculation. The power network planning construction method based on the network reconstruction and the optimized load-flow simulating calculation comprises the steps that load-flow of a power system is calculated by a digital simulation module in a power network simulation platform, constraint of a future power network is set by an operator, interface service calls used for power network planning are increased, a network reconstruction subsystem obtains power network data, rules followed by the network reconstruction subsystem in calculation are determined, calculation constraint is determined, the network reconstruction subsystem acquires an optimal solution, artificial interfering correction is conducted to a network reconstruction result, the result is written into the power network simulation platform, an optimized load-flow subsystem obtains power network data, constraint is determined before the calculation of the optimized loading-flow subsystem, optimized load-flow calculation is developed, the result is exported and sent to the power network simulation platform, artificial interfering correction is conducted to the exported result, and the result after the artificial interfering correction is stored in the power network simulation platform. The power network planning construction method based on the network reconstruction and the optimized load-flow simulating calculation largely improves the working efficiency of power network planning and the efficiency of a power network operation mode, and thus a power network planning working process which is convenient and high in efficiency is created.

The disclosure discloses a computing device and method for processing multi-bit bit width values, an integrated circuit board and a computer readable storage medium. The computing device may be included in a combined processing device, and the combined processing device may also include a universal interconnect interface and other processing devices; the computing device interacts with other processing devices to jointly complete the computing operation specified by a user; the combined processing device can further comprise a storage device, and the storage device is connected with the equipment and other processing devices and is used for storing data of the equipment and data of other processing devices. According to the scheme disclosed by the invention, the multi-bit bit width value can be split, so that the processing capacity of a processor is not influenced by the bit width.

The invention provides a multi-core parallel calculation method for weather radar data. The multi-core parallel calculation method is characterized by comprising the following steps of firstly memorizing detected weather radar observation data by a spherical coordinate system, secondly carrying out lattice formulation on the memorized spherical coordinate data, namely interpolating the radar datawith non-uniform spatial resolution under the spherical coordinate system into the unrelated lattice data with uniform spatial resolution under the uniform Descartes coordinate; thirdly utilizing an OPENMP program to lead the lattice data to enter corresponding CPU cores for calculation under the control of respective threads, thus obtaining the corresponding weather data; and finally synthesizing the data obtained by the calculation of each CPU core, thus obtaining the required weather data. By adopting the multi-core parallel technology, the maximum utilization ratio of a CPU can achieve 97%, the operation capability of a computer can be used sufficiently, and the real-time characteristic of the weather data calculation analysis can be improved.

The invention discloses a request processing method, a device and electronic equipment, and belongs to the multimedia playing field. The method comprises receiving dragging operation on a playing progress bar, generating at least one seek request according to the dragging operation, dynamic caching n (n>=1) recent seek requests in the at least one seek requests, and sequentially processing the n recent seek requests. The effects, that, when a user performs the dragging operation, a multimedia player can process the seek requests generated by the dragging operation can be processed as far as possible, and that the calculating capability of the multimedia player is fully played.

The invention relates to a calculation task allocation method based on three-node cooperation in a wireless sensor network, comprising: setting parameters for three-node cooperation calculation; determining the optimal task allocation of the number of calculation task bits among three sensor nodes; according to the task allocation results Transfer computing tasks and execute computing tasks. Compared with the prior art, the present invention can complete calculation tasks with lower energy consumption under the premise of satisfying time delay constraints, and takes into account the channel conditions, calculation task size and time delay constraints in the sensor network; the present invention Encourage individual sensor nodes to share resources through collaborative computing to build a virtual resource pool, give full play to the computing power of sensor nodes, mobilize redundant resources in the network, and regard sensor nodes in the sensor network as a unified whole, considering the overall computing energy consumption and Communication energy consumption to design and optimize collaborative computing.