Gleaming the Cube: Online Performance Analysis and Visualization Using MALP

Jean-Baptiste Besnard (), Allen D. Malony, Sameer Shende, Marc Pérache and Julien Jaeger
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Jean-Baptiste Besnard: ParaTools SAS
Allen D. Malony: ParaTools Inc.
Sameer Shende: ParaTools Inc.
Marc Pérache: CEA, DAM, DIF
Julien Jaeger: CEA, DAM, DIF

Chapter Chapter 5 in Tools for High Performance Computing 2015, 2016, pp 53-66 from Springer

Abstract: Abstract Multi-Application onLine Profiling (MALP) is a performance tool which has been developed as an alternative to the trace-based approach for fine-grained event collection. Any performance and analysis measurement system must address the problem of data management and projection to meaningful forms. Our concept of a valorization chain is introduced to capture this fundamental principle. MALP is a dramatic departure from performance tool dogma in that is advocates for an online valorization architecture that integrates data producers with transformers, consumers, and visualizers, all operating in concert and simultaneously. MALP provides a powerful, dynamic framework for performance processing, as is demonstrated in unique performance analysis and application dashboard examples. Our experience with MALP has identified opportunities for data-query in MPI context, and more generally, creating a “constellation of services” that allow parallel processes and tools to collaborate through a common mediation layer.

Keywords: Dashboard Application; Fine-grained Event; JavaScript Object Notation (JSON); JSON Object; JSON File (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-39589-0_5

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