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Last week we were able to interview Berk Geveci, Kitware’s Director of Scientfic Computing, about Kitware’s dedication to open source computing and their popular VTK and ParaView products. Berk now leads a team of 18-20 people focused on high performance computing scientific visualization and, more recently, informatics and information visualization.
Kitware is approximately 12 years old, and started as a research company around the Visualization Toolkit (VTK). The business model is founded on supporting and consulting on open-source software, tho now they have 5 differenct groups on various interests. Berk runs the Scientific visualization group, but they also have groups on computer vision, medical imaging and computing, data publication, and software processes like CMake and CDash.
During the course of the interview we discussed how Kitware deals with open-source and proprietary technologies, their government and industry collaborations, and what we might see in the next version of these popular products.
Read the interview after the break.
Read more…
Science feature, interview, kitware, paraview, vtk
Boston University is running a free week-long tutorial series on Scientific Visualization and High Performance Scientific Computing that includes introductions to Scientific Visualization and training on tools like ParaView and VTK.
In addition to covering concepts, techniques, and tools which researchers may use in their own computing environments, these tutorials are designed to help you make effective use of the Boston University Scientific Computing Facility and its related scientific visualization resources.
Full details are available on their site, but most of the SciVis tutorials are today and tomorrow.
via Scientific Computing and Visualization Summer Tutorial Series » TechWeb » Boston University.
Science education, paraview, tutorials, vtk
After a bit of a false start last week, Kitware has finally published ParaView 3.8 binaries on their website. Where the original press release we covered said they had “released” it, it was supposed to say they had “branched” it. This means that the binaries available for download now are not 3.8 official, but rather 3.8 release candidate. So expect some of the newer features to be a bit buggy as they iron out the last few kinks.
Also, while you wait for the download, you might want to check out Kitware’s Source (13M PDF Download, or view Online), recently released for April. In it they discuss VTK 5.6, ParaView 3.8, ITK 3.18, and applications of CMake in group programming and ParaView in aerodynamics.
Science kitware, paraview, software
Kitware has just announced that ParaView 3.8 is available to the masses, with an impressive collection of new features mostly garnered directly from their last VisWeek2009 Presentation. In addition to officially bringing integration with the ‘Manta’ CPU ray-tracer (in source-form only, not in the compiled binaries), they’ve added interesting GPU-acceleration features like this:
A couple of GPU-based rendering/visualization techniques have been incorporated along with GPU-based volume rendering support for 3D image volumes, which is accessible through the “Volume Mapper” option on the Display tab. Support for Line Integral Convolution (LIC) is available as a plugin; this support can be used for visualizing vector fields over arbitrary surfaces.
In addition, this version introduces support for NetCDF with CF conventions, and a substantially revised Cosmo plugin that adds in data parallelism. CAVE rendering has returned (if you didn’t know, it hasn’t been in any of the 3.0 releases), and the ‘Adaptive Processing’ version of ParaView (mentioned in the VisWeek talk) is now available (in source-format only) allowing a new way to work with datasets too large to fit in RAM.
There are many more new features, so go ahead and download it and check it out!
via Kitware – News.
Science cave, kitware, manta, paraview, software
Kitware has just released a minor point release of ParaView with two very important additions: a new Python trace, and new statistical algorithms.
ParaView’s Python interface was revamped; an exciting new extension to the interface is Python trace. The goal is to generate human readable, not overly verbose, Python scripts that mimic a user’s actions in the GUI. The “Python Trace” article in the October Source, discusses this functionality in greater detail.
ParaView 3.6.2 also includes a collection of statistical algorithms to compute: descriptive statistics (mean, variance, min, max, skewness, kurtosis); compute contingency tables; perform k-means analysis; examine correlations between arrays; and perform principal component analysis on arrays.
The statistical features alone are a huge feature, worthy of a major release. You can read more details in the ParaView Wiki, but this has been one feature seriously lacking from ParaView for some time. Great to see it continuing to grow and remain competitive!
via Kitware – News.
Science kitware, paraview, software, statistics
Tuesday afternoon I attended the second half of the Advanced ParaView Tutorial lead by researchers from Kitware, Sandia National Labs, and Los Alamos National Labs. They talked about some of the in-research projects they’re working on and gave demonstrations of things you can see in the latest CVS (if you enable them specifically). While not ready for prime-time, they showed alot of new functionality that I think ParaView users world-wide will find useful.
Read up after the break.
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Science feature, paraview, software, tutorial, visweek
The guys at SuperComputing have published a list of the tutorials that will be underway on November 15th and 16th, and there’s a few Visualization tutorials you may want to check out if you’re in the Portland, OR area.
There’s also the usual MPI, Debugging, parallel computing, and high-performance tutorials as well. Hit their website for the full list.
SC Your Way – At the Conference.
Hardware, Science conference, cuda, opencl, paraview, sc09, tutorial, visit
Kitware, renowned creators of scientific visualization tools such as VTK, ITK, and ParaView, have just announced a new “Professional Support” package called “ParaViewPro” available for customers.
The yearly subscriptions cover build and installation issues on the supported computational clusters, prioritized bug fixes, and usage questions for all supported end users.
The ParaViewPro support subscriptions are available for End-Users at $950 per year and as a cluster (Server) subscription for $1850 per year. The End-User Subscription covers all basic usage questions for ParaView, plus prioritized bug fixes and feature requests. The Server Subscription provides build and installation assistance for running the ParaView server on a single cluster.
For commercial organizations, the prices are miniscule (Less than $1k a year? Come on!) and support on client-server usage would be welcome in many organizations I’m sure.
via Kitware – News.
Science kitware, paraview, software
Kitware has just announced that ParaView 3.6 is now available for all to download and try out. Big new features in this version:
- Major Overhaul of the Python API, making for easier procedural scripts
- Experimental new support for CGNS, Silo, and TecPlot from VisIt plugins (only available in Linux Binaries)
- Support for Tabular data like CSV
- New camera animations based on splines & curve-fitting algorithms
- OverView – Information VIsualization tool
- StreamingParaView – ParaView with support for piecewise data streaming
Hit their website to download it now, and read the full announcement after the break.
Update: Not sure why, but “Downloads of ParaView are temporarily disabled. We apologize for the inconvenience. Please check back again soon.”. Should still be available via CVS tho.
Update #2: This just in from folks at Kitware:
There is a problem with a corrupt DLL in the windows amongst some other problems. They are being resolved as we speak and the download should be re-enabled later today or early tomorrow at the latest. I apologize for the inconvenience.
via ParaView
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Science kitware, paraview, software
The Crash Dump Analysis website has begun a series of tutorials showing how to load memory dumps into ParaView for analysis and visualization. They load them as a simple 2D Raw image in ParaView 3.4, as byte-data.
Currently, only the first tutorial is online. I’m not entirely sure why you would want to do this, but I’m curious to see where he goes with it.
Crash Dump Analysis » Blog Archive » Advanced Memory Visualization (Part 1).
Science howto, memory, paraview
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