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2015 | OriginalPaper | Chapter

Scalasca v2: Back to the Future

Authors : Ilya Zhukov, Christian Feld, Markus Geimer, Michael Knobloch, Bernd Mohr, Pavel Saviankou

Published in: Tools for High Performance Computing 2014

Publisher: Springer International Publishing

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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.

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next chapter Allinea MAP: Adding Energy and OpenMP Profiling Without Increasing Overhead
Footnotes
1
The command scorep-info config-vars provides an exhaustive list of options available for a particular installation.
 
2
A stripped-down EPILOG reader library is still included in Scalasca v2 to provide backwards compatibility support for existing trace files, except for traces stored in SIONlib [8] containers which are not supported.
 
3
Some compilers, e.g., Intel, provide command-line options to control instrumentation-time filtering, however the functionality provided is typically limited and very compiler (and compiler version) specific.
 
4
The command scorep --help provides an exhaustive list of instrumentation options.
 
5
The size of the chunk, a so-called page, is configurable using the SCOREP_PAGE_SIZE environment variable. The other memory-related configuration variable is SCOREP_TOTAL_MEMORY, denoting the total amount of memory reserved by each process.
 
6
For Score-P, the command scorep-info config-vars provides the list of all environment variables (and their default values) that are available for the current installation.
 
7
The Tofu network topology will be supported in a subsequent release.
 
8
Currently supported POSIX threads routines are pthread_create, pthread_join, pthread_mutex_init, pthread_mutex_destroy, pthread_mutex_lock, pthread_mutex_trylock, pthread_mutex_unlock, pthread_cond_init, pthread_cond_destroy, pthread_cond_signal, pthread_cond_broadcast, pthread_cond_wait, and pthread_cond_timedwait. The following thread management functions are currently not supported and will abort the program: pthread_exit and pthread_cancel. The usage of pthread_detach will cause the program to fail if the detached thread is still running after the end of the main routine. These limitations will be addressed in an upcoming version of Score-P. Note that currently every thread creation needs to be instrumented.
 
9
CubePL stands for Cube Processing Language.
 
10
Note that the topology toolbar is only enabled when a topology is available to be displayed.
 
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Metadata
Title
Scalasca v2: Back to the Future
Authors
Ilya Zhukov
Christian Feld
Markus Geimer
Michael Knobloch
Bernd Mohr
Pavel Saviankou
Copyright Year
2015
Book
Tools for High Performance Computing 2014

Print ISBN: 978-3-319-16011-5

Electronic ISBN: 978-3-319-16012-2

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-16012-2_1

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