摘要
遥测数据拼接处理过程中计算量比较大,拼接处理过程是遥测数据处理中时间最长的步骤。以往在进行拼接处理时采用了串行计算模式,处理效率低,拼接处理过程需要耗费较长时间。当前计算机CPU多为多核处理器,支持多线程同时运行。针对遥测参数拼接处理效率低的问题,提出了基于单机多核的遥测数据并行拼接处理方法,并在Windows环境下实现了该方法。通过在多个不同性能的计算机平台上进行拼接处理实验表明,提出的多核并行拼接处理方法能有效提高拼接处理效率,多数情况下在并行线程数稍高于计算机支持的线程数时拼接效率达到或接近最高。
The calculation amount is relatively large during the connecting telemetry data,and the step of connecting telemetry data is the longest step in the entire telemetry data process.In the past,the serial computing mode was used in the process of the telemetry data connecting,the processing efficiency was not low,and the connecting process takes a long time.At present the CPU in computers are mostly multicore processors,which support multiple threads running simultaneously.Aiming at the problem of low efficiency in the process of connecting telemetry data,a parallel connecting telemetry data method based on multi-core CPU in a single computer was proposed,and the method was implemented in Windows environment.The experiments of connecting telemetry data on multiple computers with different performances show that the proposed multi-core parallel docking processing method can effectively improve the connecting telemetry data efficiency and in most cases the connecting efficiency reaches or approaches maximum when the number of the parallel threads is appreciably more than the threads number supported by the computer.
作者
王利伟
玄志武
徐洪洲
刘学
WANG Liwei;XUAN Zhiwu;XU Hongzhou;LIU Xue(PLA Unit 91550,Dalian 116023,China)
出处
《电子设计工程》
2021年第2期10-15,共6页
Electronic Design Engineering
基金
国家自然科学基金资助(61801482)。
关键词
遥测数据处理
数据拼接
多核CPU
并行
多线程
telemetry data processing
connecting data
multi-core CPU
parallel
multithreading
