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Tracing MPI File IO - Intel

    https://www.intel.com/content/www/us/en/develop/documentation/itc-user-and-reference-guide/top/user-guide/tracing-mpi-applications/tracing-mpi-file-io.html
    Tracing MPI File IO On Linux* OS, Intel® Trace Collector does not support tracing of ROMIO*, a portable implementation of MPI-IO. Fully standard-compliant implementations of MPI-IO are untested, but might work. This distinction is necessary because ROMIO normally uses its own request handles ( MPIO_Request ) for functions like MPI_File_iread ()

Tracing Conventional MPI Applications - Intel

    https://www.intel.com/content/www/us/en/develop/documentation/itc-user-and-reference-guide/top/user-guide/tracing-mpi-applications/tracing-conventional-mpi-applications.html
    The common way to trace an MPI application is to dynamically load the Intel® Trace Collector profiling library during execution. The profiling library then intercepts all MPI calls and generates a trace file. The easiest way to do this is to use the

Tracing internal communication in MPI and MPI-I/O

    https://www.researchgate.net/publication/224096766_Tracing_internal_communication_in_MPI_and_MPI-IO
    Analyzing the performance inside MPI routines has been the subject of numerous research studies. Kunkel et al. [20] and Miguel-Alonso et al. [21] did work on tracing the MPI pointto-point ...

Tracing MPI Load Imbalance - Intel

    https://www.intel.com/content/www/us/en/develop/documentation/itc-user-and-reference-guide/top/user-guide/tracing-mpi-load-imbalance.html
    To generate an imbalance trace file, link your application with the libVTim library, using the -trace-imbalance option of mpirun , or one of the methods described here. For example: $ mpirun -n 2 -trace-imbalance ./myApp Open the generated .stf file to view the results. Intel® Trace Analyzer displays only the regions of MPI idle time.

Tracing Failing MPI Applications - Intel

    https://www.intel.com/content/www/us/en/develop/documentation/itc-user-and-reference-guide/top/user-guide/tracing-mpi-applications/tracing-failing-mpi-applications.html
    Tracing Failing MPI Applications Normally, if an MPI application fails or is aborted, all the trace data collected is lost, because libVT needs a working MPI to write the trace file. However, the user might want to use the data collected up to that point. To solve this problem, Intel® Trace Collector and Analyzer provides the libVTfs

Scalable I/O Tracing and Analysis - NCSU

    https://arcb.csc.ncsu.edu/~mueller/ftp/pub/mueller/papers/pdsw09.pdf
    In our prototype implementation, ScalaIOTrace collects traces of MPI-IO and low-level POSIX I/O function calls. Both MPI- IO and POSIX calls represent the high and low levels of the I/O software stack. ScalaIOTrace can, of course, be extended further to collect traces at any layer. 4.1 MPI-IO Trace Generation

Automated Tracing of I/O Stack - Northwestern University

    http://users.ece.northwestern.edu/~choudhar/Publications/AutomatedTracingIOStackLiao2010.pdf
    Keywords: Automated code instrumentation, Parallel I/O, MPI-IO, MPICH2, PVFS2. 1 Introduction Emerging data-intensive applications make significant demands on storage sys-tem performance and, therefore, face what can be termed as I/O Wall,that is, I/O behavior is the primary factor that determines application performance.

Parallel I/O Benchmarks, Applications, Traces - anl.gov

    https://web.cels.anl.gov/~thakur/pio-benchmarks.html
    Parallel I/O Benchmarks, Applications, Traces Below is a list of parallel I/O benchmarks, applications, and traces I am aware of (in no particular order).

Recorder 2.0: Efficient Parallel I/O Tracing and …

    https://snir.cs.illinois.edu/listed/Recorder_2_0.pdf
    I/O tracing tools. IOPin [15], built on top of Pin [17], is a dynamic instrumentation tool for parallel I/O tracing that traces from the application layer all the way to storage server layer. IOPin is tightly associated with the PVFS file system and does not trace I/O libraries above the MPI layer.

Darshan – HPC I/O Characterization Tool - anl.gov

    https://www.mcs.anl.gov/research/projects/darshan/
    This release introduces a new trace triggering mechanism that allows users to specify triggers that dictate which files are traced using Darshan’s tracing module, DXT. Users just need to provide Darshan a configuration file describing the triggers and Darshan will decide at runtime which files to store trace data for.

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