Tag Archives: performance visualization

PLIViewer

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The development of PLIViewer was co-funded by the HBP during the second project phase (SGA1). This page is kept for reference but will no longer be updated.

The PLIViewer is visualization software for 3D-Polarized Light Imaging (3D-PLI), to interactively explore the scalar and vector datasets; it provides additional methods to transform data, thus revealing new insights that are not available in the raw representations. The high resolution provided by 3D-PLI produces massive, terabyte-scale datasets, which makes visualization challenging.

The PLIViewer tackles this problem by providing functionality to select areas of interests from the dataset, and options for downscaling. It makes it possible to interactively compute and visualize Orientation Distribution Functions (ODFs) and polar plots from the vector field, which reveal mesoscopic and macroscopic scale information from the microscopic dataset without significant loss of detail. The PLIViewer equips the neuroscientist with specialized visualization tools needed to explore 3D-PLI datasets through direct and interactive visualization of the data.

 

The original dataset: Fibre Orientation Maps rendered on top of Retardation map
A full slice from the Fibre Orientation Map of a Vervet Monkey
Orientation Distribution Functions (ODFs) rendered with Streamline Tractography
Close-up view of the ODFs
Date of releaseFebruary 2018
Version of software
Version of documentation1.1.0
Software availablehttp://https://devhub.vr.rwth-aachen.de/VR-Group/pli_vis
Documentationhttp://https://devhub.vr.rwth-aachen.de/VR-Group/pli_vis
ResponsibleAli Demiralp: demiralp@vr.rwth-aachen.de
Requirements & dependencies
Target system(s)

Paraver

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The development of Paraver was co-funded by the HBP Ramp-up Phase. This page is kept for reference but will no longer be updated.

Paraver is a very flexible data browser. The metrics used are not hardwired on the tool but can be programmed. To compute them, the tool offers a large set of time functions, a filter module, and a mechanism to combine two timelines. This approach allows displaying a huge number of metrics with the available data. The analysis display allows computing statistics over any timeline and selected region, what allows correlating the information of up to three different time functions. To capture the expert’s knowledge, any view or set of views can be saved as a Paraver configuration file. Therefore, re-computing the same view with new data is as simple as loading the saved file. The tool has been demonstrated to be very useful for performance analysis studies, giving much more details about the applications behaviour than most performance tools available.

Screenshot of Paraver
Screenshot of Paraver

The new version 4.6.0 (3rd February 2016) provides the following new features (externally funded) as compared to version 4.5.6 (February 2015) that was part of the HBP-internal Platform Release in M18:

  • Automatic workspaces on trace loading
  • Scalability improvements for traces with more than 64K rows
  • Support for wxWidgets 3
  • Traces with same hierarchy can be combined to analyze
  • External tools integration

The new version 4.6.3 (16th November 2016) provides the following new features:

  • Added punctual information view to timelines
  • Added external tool Run->Spectral from timelines
  • Trace load time reduced by 25%
  • Histogram new features: show only totals and short/long column labels
  • Run app dialog usability improvements
Date of release16th of November 2016
Version of software4.6.3
Version of documentation3.1 (Old, year 2001) But Tutorials available for newer versions
Software availablehttps://tools.bsc.es/downloads
DocumentationParaver website: https://tools.bsc.es/paraver
Documentation: https://tools.bsc.es/tools_manuals
ResponsibleBSC Performance Tools Group: tools@bsc.es
Requirements & dependenciesBoost >= 1.36; Zlib; wxWidgets >= 2.8.0; wxPropertyGrid >= 1.4.0
Target system(s)Any Unix/Linux system (supercomputers, clusters, servers, workstations, laptops, …)