Tau Profiling

tracing; Intel. The TAU includes instruments, measuring and analysis tools. The TAU is able to profile any executable file that was instrumented accordingly at compile time. - OpenMP & pThread profiling. Portable profiling and tracing toolkit for performance analysis of parallel programs written in Fortran, C, C++, UPC, Java, Python.

TAU: Tuning and Analysis Utilities

Tuning and analysis utilities (TAU) is a complete profiling and tracking toolset for analyzing the performances of concurrent applications that have been developed in Fortran, C, C++, Java and Python. Analyze and visualize data: Profildata: TAU's Paraprof profiling visualisation utility provides a wide range of graphic representations of profiling information to help operators quickly pinpoint bottleneck locations.

You can also use the text-based prof ilool to analyze your profiles. Tracing Data: The JumpShot Tracing visualisation utility for the graphic display of tracing information is provided by TAU. The TAU also provides utility programs for converting tracing information into display format using vampire, paravers and other system health analyzer software. In the following, only a number of TAU functions at the "very basics" layer are described.

tau_exec is the simplest and fastest way to profiling an executable. The only thing you need to do is make sure your TAU landscape is properly configured. Configure your TAU enviroment by downloading the TAU dot kit pack. In addition, you must put the environmental variables to" 1".

You have the option of specifying where the profiles are to be saved (the working folder is the default). After completing your order, you have a series of file names profile.#. To view these data is described in the "Output" section below. It is a bit more complex, but is needed for profiling some parameter, e.g. device counters (PAPI) event.

Configure your TAU enviroment by downloading the TAU dot kit pack. In addition, you must put the environmental variables to" 1". You have the option of specifying where the profiles are to be saved (the working folder is the default). Use the TAU top-level libath to choose the appropriate TAU makefile for what you want to profilil.

They' re called after their instruments. First example uses the Intelompiler for profiling MPI and the second example uses the GNU-Compler: 5. Please also be aware that TAU offers a number of custom compile functions that are not covered here.

After completing your order, you have a series of file called profile.#. How to look at these data is described in the "Output" section below. You can use TAU to track incidents while a report is running. In contrast to profiling, which combines the amount of cumulative experience in each cycle, event loops, etc. - tracking allows you to look at the relationship between an event against a timescale.

However, a reservation in the case of tracking is that the size of the traced file can quickly become very large, which makes tracking for long runs, many processing tasks more complicated or even not possible. Like profiling, the simplest and fastest way to track an executable is to use the tau_exec function. The only thing you need to do is make sure your TAU landscape is set up properly.

Configure your TAU enviroment by downloading the TAU dot kit pack. Also make sure that the TAU_TRACE environmental tag is one. To specify a folder in which the trace files are to be stored (the working folder is the default), use the TRACEDIR environmental tag. If you want to integrate TAU profiling at the same ting, you must reset the TAU_PROFILE to" 1".

After your jobs are finished, you have two records of the file names tautrace.#.*. and events in the MPI-ranking. To view these data is described in the "Output" section below. Like profiling, you can have your applications traced by using the TAU makefile script as an alternate to the tau_exec statement.

First of all, configure your TAU enviroment by downloading the TAU dot kit pack. Also make sure that the TAU_TRACE environmental tag is one. To specify a folder in which the trace files are to be stored (the working folder is the default), use the TRACEDIR environmental tag. Then perform step 2 to 6 above in Profile creation.

After your jobs are finished, you have two records of the file names tautrace.#.*. a. terc and events.#. a. ddf, where# is the MPI ranking. To view these data is described in the "Output" section below. The TAU can be used to log device event via an external device's internal memory. As this is actually a way of profiling, the directions are very similar to those for profiling above.

To create an instrumentated execute file, perform step 1 to 5 of Profiling with TAU Makefiles. Specify which event is available on the operating system you are using with the call papi_avail: Event and hard-information available. Out of 108 possible occurrences, 50 are available, of which 17 are inferred. Twenty-five meters are available, but in general you can only use several at a single point, since not all of them can be grouped.

Determine which event you want to score and then find out whether or not they are compliant with the call using parameter_chooser. Existing incidents that can be added with specific incidents. Specify the environmental variable CONTINTER for compliant incidents of interest. Specify the environmental variable CONTINTER for compliant incidents of interest.

There is a subset of profile.# file names in each folder. To view these data is described in the "Output" section below. Hint: You can trace at the same token as you record your own event by changing the TAU_TRACE to" 1". However, you cannot execute standard TAU profiling at the same time as PAPIs.

The TAU allows the user to customise the instruments of their applications so that they can concentrate on certain areas of interest and thus reducing the runtime associated with profiling the overall use. You have two ways to do this, as described below. Generate a text filename containing the name of the routine and/or sources to be orchestrated or not to be instrumented.

Create your instrumented. You can do this by following step 1 to 5 in Profiling with TAU Makefiles above: The TAU profiling edition is made up of a collection of profiles. You can use the program TAU prof to obtain a fast, text-based compilation of the profiles for your work.

The entire extrusion is processed by standard. and generate a file with profiles for each rank/context/thread. TRREAD 0: ParaProf is the graphic profiling of TAU. 1. to use ParaProf: Change to the folder containing the preset. datasets

In case you have not already done so, please download the TAU client and enter the instruction paraprof: You will see a management screen and a profiles overview screen. The TAU tracking edition is made up of two records of data with the name aautrace. X.Y.Z. and happenings. To be able to view the TAU traces, they must first be combined (for multiple jobs) and then convert to a display style appropriate for display by select traced monitoring utilities.

This section covers two tracing monitoring utilities. Vampire Traces Viewer offers a multitude of possibilities to examine VampireTrace, TAU or OffenSpeedShop based Oracle traces. VampireServer is a client/server edition of Vampire that uses a concurrent back end to quickly retrieve and analyse information from large tracing archives.

the world and happenings. tautrace.0.0.0.0. trc: 51511 data sets exported. tautrace.1.0.0. trc: 21897 data sets exported. tautrace.2.0.0. trc: 21897 data sets exported. tautrace.2.0.3 TTRC: 21897 entries reread. Tautrace.4.0.0.0. TCR: 21099 entries reread. Tautrace.5.0.0. TTRC: 21113 entries reread. Tautrace.6.0.0. TTRC: 21099 entries reread. Tautrace.7.0.0. TCR: 21099 entries reread.

Conversion the two combined TAU track data into the vampire om file using the vampire file conversion tool tau2otf: 4. the vampire master screen appears, where you can explore the traces of your applications. Argonne National Laboratory's Jumpshot Tracker is supplied with the TAU install. 2 Go to the TAU Tracefile folder and enter the instruction ta_treemerge. pl.

the world and happenings. tautrace.0.0.0.0. trc: 51511 data sets exported. tautrace.1.0.0. trc: 21897 data sets exported. tautrace.2.0.0. trc: 21897 data sets exported. tautrace.2.0.3 TTRC: 21897 entries reread. Tautrace.4.0.0.0. TCR: 21099 entries reread. Tautrace.5.0.0. TTRC: 21113 entries reread. Tautrace.6.0.0. TTRC: 21099 entries reread. Tautrace.7.0.0. TCR: 21099 entries reread.

Conversion the two combined TAU track data into jumpshot slot2 using the jumpshot slot2 utility: 4. the jumpshot master screen appears, where you can explore the jumpshot event of your app. TAU can be used to implement instrumentation of apps without requiring any specific compilation or linking, as described in the Quick Start section above.

In most cases this is achieved by using TAU Makefiles and compile wrapers, as described in step 1 to 5 in Profiling with TAU Makefiles. The TAU has over 30 environmental variable with which the runtime behavior can be controlled: One of the most frequent problems is to forget to use tau to load the TAU area.