使用DIDYMUS和SCAMP对Algol 68-R程序进行运行时分析

D. Brailsford, E. Foxley, K. Mander, D. Morgan
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引用次数: 8

摘要

有关程序运行时行为的信息(“程序分析”)在提高程序效率方面可以提供最大的帮助。在ICL 1900系列机器上开发了两个软件设备来提供这些信息。DIDYMUS是一种概率方法,它使用多任务处理工具对程序在运行时使用的指令地址进行采样。无论程序的源语言是什么,它都可以工作,并将检测到的地址与加载器映射相匹配,以产生直方图。SCAMP仅限于分析Algol 68-R程序,但它提供了有关被监视的语言结构的确定性信息。对适当计数例程的过程调用在编译之前的预传递中插入到源文本中。概要信息在程序运行结束时打印出来。人们发现这两种方法相互补充非常有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
'Run-time profiling of Algol 68-R programs using DIDYMUS and SCAMP'
Information concerning the run-time behaviour of programs (“program profiling”) can be of the greatest assistance in improving program efficiency. Two software devices have been developed for use on ICL 1900 Series machines to provide such information. DIDYMUS is probabilistic in approach and uses multitasking facilities to sample the instruction addresses used by a program at run time. It will work regardless of the source language of the program and matches the detected addresses against a loader map to produce a histogram. SCAMP is restricted to profiling Algol 68-R programs, but provides deterministic information concerning those language constructs that are monitored. Procedure calls to appropriate counting routines are inserted into the source text in a pre-pass prior to compilation. The profile information is printed out at the end of the program run. It has been found that these two approaches complement each other very effectively.
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