Performance testing method of simulation engine and storage medium

Abstract

The invention provides a performance testing method of a simulation engine and a storage medium, and is applied to simulation of parallel discrete events. The method performance testing method of the simulation engine includes the steps of establishing and generating a simulation model, using information needed by application managing for configuring the simulation model, using synchronous-event scheduling performance, random-event scheduling performance, event queue managing performance and time marching efficiency to test the simulation model, according to selected performance indexes, preparing simulation event queues separately, and according to the selected performance indexes, starting simulation to start testing till treatment is completed or timing is completed. According to the performance testing method of the simulation engine, a parallel mode and a serial mode are compatible and can be switched; model logic participating in performance testing is extremely low in complexity, and the influence of simulation-model performance on engine performance testing is excluded; testing indexes mainly aims at time coordination of simulation engine event scheduling, can represent basic performance of the engine and has objectivity. An index testing method can be implemented on different simulation engines and has implementation feasibility.

Description

Technical field [0001] The invention relates to a simulation calculation field, and more specifically, to a performance test method and a storage medium of a parallel discrete event (PDES, Parallel Discrete Event Simulation) simulation engine. Background technique [0002] Discrete event simulation based on digital computers is widely used in military, equipment, society and other fields. How to improve the efficiency of simulation operation is a technical issue of widespread concern in the industry. With the continuous development of computer software and hardware technology, the parallel capabilities of software and hardware continue to improve. The parallelization of discrete event simulation is required to improve efficiency, but how to measure the efficiency of the simulation engine so as to compare the advantages and disadvantages of different implementation methods and guide the direction of technological development is an urgent need in this field, but it has not been effe...

AI Technical Summary

Problems solved by technology

[0005] 3. The implementability of performance indicators: Different from the benchmark of hardware and standard software, due to the software design of different engines, it is impossible to have a unified test tool, and even a unified set of source codes is also very difficult. Therefore, the test method must have Realizability on different engines, even non-cheatable and non-repudiable

[0009] From the design of the PHOLD model, it is found that the model is completely aimed at parallel simulation and cannot be compatible and switched between parallel and serial; secondly, the test content takes into account the communication overhead between processors, and the invalid execution due to time conflicts caused by communication delays Factors such as overhead and fallback, so it is a comprehensive performance test, there is no invalid execution and fallback for conservative time synchronization engines, but time coordination in event scheduling needs to be assessed

[0010] Based on the research status at home and abroad, there are still great deficiencies in the analysis and measurement methods of the performance quantitative indicators of the parallel discrete event simulation engine, especially for the basic performance indicators of the engine itself, there is a lack of objective and scientific standards and methods

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