Scalasca v2: Back to the Future

Ilya Zhukov (), Christian Feld (), Markus Geimer (), Michael Knobloch (), Bernd Mohr () and Pavel Saviankou ()
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Ilya Zhukov: Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH
Christian Feld: Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH
Markus Geimer: Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH
Michael Knobloch: Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH
Bernd Mohr: Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH
Pavel Saviankou: Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH

A chapter in Tools for High Performance Computing 2014, 2015, pp 1-24 from Springer

Abstract: Abstract Scalasca is a well-established open-source toolset that supports the performance optimization of parallel programs by measuring and analyzing their runtime behavior. The analysis identifies potential performance bottlenecks – in particular those concerning communication and synchronization – and offers guidance in exploring their causes. The latest Scalasca v2 release series is based on the community instrumentation and measurement infrastructure Score-P, which is jointly developed by a consortium of partners from Germany and the US. This significantly improves interoperability with other performance analysis tool suites such as Vampir and TAU due to the usage of the two common data formats CUBE4 for profiles and the Open Trace Format 2 (OTF2) for event trace data. This paper will showcase recent as well as ongoing enhancements, such as support for additional platforms (K computer, Intel Xeon Phi) and programming models (POSIX threads, MPI-3, OpenMP4), and features like the critical-path analysis. It also summarizes the steps necessary for users to migrate from Scalasca v1 to Scalasca v2.

Keywords: Memory Buffer; Virtual Topology; Release Series; Memory Pool; Thread Creation (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/978-3-319-16012-2_1

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