Editing GSOC2009 (section)

=Project Ideas=

See also the [http://sourceforge.net/tracker/?group_id=162909&atid=825648 feature request tracker].

==Graphical User Interface (''Mentor: Sergey Fomel'')==
* Add an option to [http://rsf.svn.sourceforge.net/viewvc/rsf/trunk/framework/rsfdoc.py?view=markup sfdoc] to output spec files in the format defined for [http://www.henrythorson.com/interface.htm TKSU]. This should make '''TKSU''' immediately applicable. Spec files can be generated automatically at the compile time.
* Rewrite '''TKSU''' in Python, possibly using [http://wiki.python.org/moin/TkInter TkInter] 
* See http://sourceforge.net/forum/forum.php?thread_id=1579059&forum_id=552249 for more discussions.
* Investigate alternative solutions.
* Skills and interests: GUI, Python.

==Data Visualization (''Mentor: Vladimir Bashkardin'')==
* Migrate 2D rendering OpenGL-based code from GSEGYView to Madagascar and create an interactive viewer with zooming/panning features.
* Migrate 3D rendering GLSL-based code from GSEGYView to Madagascar and create a viewer with the support of pluggable shader programs.
* Finish 3D rays viewer
* Create a set of alternatives to sfgraph, sfgrey, sfcontour programs, that would use PLPLOT library instead of VPlot; also, create "pens", that could read from those programs and generate ps, pdf, png output; analyze flexibility of PLPLOT and the possibility to fully mimic VPlot's output (including animation).
* Skills and interests: scientific visualization, C.

==Interactive UI (''Mentor: Michael Tobis'')==
* test and build Python wrappers around existing function to create a novel inetractive environment which is both interactive and reproducible
* help refactor existing SCons scripts to reduce coupling and increase clarity
* integrate with iPython/sage environment
* Skills and interests: strong OOP and test-driven development, Python. SCons a big plus.

==Geophysics / Numerical Analysis (''Mentor: Paul Sava'')==
* Implement an optimal algorithm for parallel transposes of arrays with 4 or 5 dimensions, up to a few tens of terabytes in volume, on a multi-node Linux cluster
* As a bonus, FFT one of the transposed dimensions
* Implement a hardware-adaptive transpose algorithm for a 1-node, SMP machine of 8 nodes or more. Investigate speed of transfers, size of caches, memory arrangement, etc, and make it hardware-adaptive. Bonus for out-of-core capabilities.
* Implement 3-D seismic data header storage using the fastest open-source database, then compare header I/O times with the classic approach of having a simple table. Which is the fastest way of implementing a large database knowing that the values it will hold are all bools, ints and floats?
* Skills and interests: numerical methods, scientific computation, parallel computing.