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A Case for Stale Synchronous Distributed Model for Declarative Recursive Computation

Published online by Cambridge University Press:  20 September 2019

ARIYAM DAS Open the ORCID record for ARIYAM DAS [Opens in a new window]  and
CARLO ZANIOLO
ARIYAM DAS
Affiliation:
Department of Computer Science, University of California, Los Angeles, USA (e-mails: ariyam@cs.ucla.edu, zaniolo@cs.ucla.edu)
CARLO ZANIOLO
Affiliation:
Department of Computer Science, University of California, Los Angeles, USA (e-mails: ariyam@cs.ucla.edu, zaniolo@cs.ucla.edu)
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Abstract

A large class of traditional graph and data mining algorithms can be concisely expressed in Datalog, and other Logic-based languages, once aggregates are allowed in recursion. In fact, for most BigData algorithms, the difficult semantic issues raised by the use of non-monotonic aggregates in recursion are solved by Pre-Mappability (${\cal P}$reM), a property that assures that for a program with aggregates in recursion there is an equivalent aggregate-stratified program. In this paper we show that, by bringing together the formal abstract semantics of stratified programs with the efficient operational one of unstratified programs, $\[{\cal P}\]$reM can also facilitate and improve their parallel execution. We prove that $\[{\cal P}\]$reM-optimized lock-free and decomposable parallel semi-naive evaluations produce the same results as the single executor programs. Therefore, $\[{\cal P}\]$reM can be assimilated into the data-parallel computation plans of different distributed systems, irrespective of whether these follow bulk synchronous parallel (BSP) or asynchronous computing models. In addition, we show that non-linear recursive queries can be evaluated using a hybrid stale synchronous parallel (SSP) model on distributed environments. After providing a formal correctness proof for the recursive query evaluation with $\[{\cal P}\]$reM under this relaxed synchronization model, we present experimental evidence of its benefits.

Keywords

DatalogDeductive DatabasesRecursive QueryStale Synchronous Parallel ModelBulk Synchronous Parallel ModelParallel and Distributed Computing

Information

Type
Original Article
Information
Theory and Practice of Logic Programming , Volume 19 , Special Issue 5-6: 35th International Conference on Logic Programming , September 2019 , pp. 1056 - 1072
Copyright
© Cambridge University Press 2019 

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