将移植到souffl:一个基于数据的分析的引擎间可移植性的故事

Tony Antoniadis, Konstantinos Triantafyllou, Y. Smaragdakis
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引用次数: 26

摘要

我们详细介绍了将静态分析框架移植到最近引入的Datalog引擎的经验。该移植处理了所涉及的Datalog方言的特性(即类型系统、值构造和事实更新)和运行时系统中的差异(即并行性、事务执行和优化方法)。整个移植工作在很多方面都很有趣:作为声明式指定静态分析的好处的一个实例,从仅仅移植到一个新的运行时系统中获得好处(例如,并行性);作为将大量的Datalog代码库(包含数千条规则)迁移到不同方言所需的工作量的研究。通过利用共享内存的并行性,这个版本的框架在单线程性能的基础上实现了高达4倍的提速。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Porting doop to Soufflé: a tale of inter-engine portability for Datalog-based analyses
We detail our experience of porting the static analysis framework to the recently introduced Datalog engine. The port addresses the idiosynchrasies of the Datalog dialects involved (w.r.t. the type system, value construction, and fact updates) and differences in the runtime systems (w.r.t. parallelism, transactional execution, and optimization methodologies). The overall porting effort is interesting in many ways: as an instance of the benefits of specifying static analyses declaratively, gaining benefits (e.g., parallelism) from a mere porting to a new runtime system; as a study of the effort required to migrate a substantial Datalog codebase (of several thousand rules) to a different dialect. By exploiting shared-memory parallelism, the version of the framework achieves speedups of up to 4x, over already high single-threaded performance.
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