NDLI: Value influence analysis for message passing applications

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Value influence analysis for message passing applications

Content Provider	ACM Digital Library
Author	Meredith, Jeremy S. Roth, Philip C.
Abstract	People who develop, debug, and optimize applications are most effective when they understand how those applications function. Value influence tracking is an on-line code analysis approach that provides a data-centric perspective on how a value contributes to later computation. Early work on value influence tracking focused on single-process applications. Building upon this early work, we have designed support for performing value influence tracking analyses with applications that use common MPI point-to-point and collective communication operations. In this paper, we describe the design and implementation of an approach for propagating value influence data between the processes of an MPI application that uses these types of operations. To demonstrate and evaluate our approach, we present case studies of using our value influence tracking implementation with the Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) and the Model for Prediction Across Scales (MPAS) ocean climate model running on the Keeneland Initial Delivery System (KIDS) Linux cluster. We also discuss how to extend our approach to support MPI one-sided operations and non-blocking collective communication operations.
Starting Page	145
Ending Page	154
Page Count	10
File Format	PDF
ISBN	9781450326421
DOI	10.1145/2597652.2597666
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-06-10
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Message passing interface (mpi) Dynamic instrumentation Value influence
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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