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Resource Usage Analysis of Logic Programs via Abstract Interpretation Using Sized Types

机译:基于抽象解释的逻辑程序资源利用分析   使用大小类型

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摘要

We present a novel general resource analysis for logic programs based onsized types. Sized types are representations that incorporate structural(shape) information and allow expressing both lower and upper bounds on thesize of a set of terms and their subterms at any position and depth. They alsoallow relating the sizes of terms and subterms occurring at different argumentpositions in logic predicates. Using these sized types, the resource analysiscan infer both lower and upper bounds on the resources used by all theprocedures in a program as functions on input term (and subterm) sizes,overcoming limitations of existing resource analyses and enhancing theirprecision. Our new resource analysis has been developed within the abstractinterpretation framework, as an extension of the sized types abstract domain,and has been integrated into the Ciao preprocessor, CiaoPP. The abstract domainoperations are integrated with the setting up and solving of recurrenceequations for inferring both size and resource usage functions. We show thatthe analysis is an improvement over the previous resource analysis present inCiaoPP and compares well in power to state of the art systems.
机译:我们提出了一种基于大小类型的逻辑程序的新颖的常规资源分析。大小类型是表示包含结构(形状)信息并允许在任何位置和深度上表达一组术语及其子术语的大小的上限和下限的表示形式。它们还允许关联在逻辑谓词中不同自变量位置出现的项和子项的大小。使用这些大小类型,资源分析可以推断程序中所有过程使用的资源的上限和下限,作为输入项(和子项)大小的函数,克服了现有资源分析的局限性并提高了其精度。我们在抽象解释框架内开发了新的资源分析,作为大小类型抽象域的扩展,并已集成到Ciao预处理器CiaoPP中。抽象域操作与递归方程的设置和求解集成在一起,以推断大小和资源使用函数。我们表明,该分析是对CiaoPP中现有资源分析的改进,并且在功能上与先进的系统进行了比较。

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