6results about How to "Implement parallel execution" patented technology

The invention discloses a vector processing device, a chip, electronic equipment and a method, and belongs to the technical field of chips. The vector processing device comprises an instruction buffer, a vector decoding unit, a register unit and a plurality of pipelines, the instruction buffer is used for storing instruction packets to be executed, and each instruction packet comprises a plurality of vector instructions which can be executed in parallel; the vector decoding unit is used for decoding each vector instruction included in the instruction packet to obtain a control signal corresponding to each vector instruction, and broadcasting the control signal corresponding to each vector instruction to the register unit and the plurality of assembly lines in a clock period; a register unit to store data related to the vector instruction; and the assembly line is used for processing data related to the vector instruction according to the control signal corresponding to the vector instruction to obtain a processing result corresponding to the vector instruction. By processing a plurality of vector instructions in one clock period, the processing efficiency of the vector instructions can be remarkably improved.

The embodiment of the invention provides a task parallel execution method, device and system. According to the scheme, a second service sub-module obtains first task information and second task information; the second service submodule judges the parallel execution of the first task and the second task according to the parallel judgment data in the first task information and the parallel judgment data in the second task information to obtain a first judgment result; when the first judgment result indicates that the first task and the second task can be executed in parallel, the second service sub-module sends a task identifier of the first task to the first service sub-module; and the first service sub-module forwards the received task identifier to task execution equipment, so that the task execution equipment calls an idle thread to execute the first task based on the received task identifier. Through the technical scheme provided by the embodiment of the invention, the duration required for executing all the quantum computing tasks is shortened, and the execution efficiency of the quantum computing tasks is improved, so that the quantum computing efficiency is improved.

The application relates to a message forwarding method and device, computer equipment, a readable storage medium and a program product, and relates to the field of message processing. The method comprises the following steps: when a first object sends a request message to a second object, source address information of the request message is acquired; the source address information is subjected to hash processing to obtain a first hash value of the source address information; a first memory core matched with the first hash value is screened out from a plurality of first candidate memory cores used for message processing of the request message; the request message is subjected to message processing through the first memory core to obtain a first target message, and the first target message is forwarded to the second object. The method can improve the message forwarding efficiency.

The invention provides a chip calculation reasoning method and system for a hybrid expert model, and relates to the technical field of artificial intelligence calculation, and the method comprises the steps: obtaining input data, calculating an expert activation weight, carrying out the time sequence tracking, carrying out the clustering analysis, recognizing an expert combination, and preloading the weight to a shared cache; selecting a target expert based on the activation weight, and loading the weight; fragmenting the data, constructing an assembly line level, and mapping the data to different computing units; and each unit is controlled to execute calculation and weighted summation according to an assembly line to obtain a result. Through expert activation mode prediction and pipeline parallel processing, the reasoning efficiency is improved, and the memory access overhead is reduced.

The embodiment of the invention provides a task execution method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining a first judgment result; when the first judgment result indicates that the search operation is performed in the first list, searching a quantum computing task meeting a preset parallel requirement in the first list according to a third quantum computing task which is being executed at the current moment in the parallel thread; obtaining the quantum computing task with the highest priority from the quantum computing tasks meeting the preset parallel requirement, and caching the quantum computing task to a second list; when it is determined that an idle thread exists in the parallel threads according to the fourth state, a fifth quantum computing task capable of being executed in parallel with the fourth quantum computing task is obtained from the second list; and executing the fifth quantum computing task by using the idle thread. Through the technical scheme provided by the embodiment of the invention, parallel execution of a plurality of quantum computing tasks is realized, and the quantum computing efficiency is improved.

The invention discloses a resource scheduling method of a quantum computing measurement and control system and a quantum computer.The resource scheduling method of the quantum computing measurement and control system comprises the steps that whether resource conflicts exist between a quantum computing task to be executed and other quantum computing tasks being executed in a task thread or not is judged through a resource manager; according to the technical scheme, when conflicts exist, the tasks with the conflicts are put into the cache queue, when the conflicts do not exist, the quantum computing tasks to be executed are distributed into the task threads, the problem of resource conflicts possibly occurring when the multiple tasks are to be solved at the same time is effectively solved through the scheme, parallel execution of the multiple quantum computing tasks is achieved, and the execution efficiency of the quantum computing tasks is improved. And the execution efficiency of the quantum computing task in the quantum computing measurement and control system is effectively improved.