GPUlib 1.4 is now available! See the GPULib blog for a rundown of the new features. Particularly exciting for me are:
Full disclosure: I work for Tech-X Corporation and have worked on the IDL bindings for GPULib.
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I'm a software developer focusing on high-performance computing and visualization in scientific programming. I work mostly in IDL, but occasionally use C, CUDA, and Python.
I currently work for the National Center for Atmospheric Research (NCAR) at the Mauna Loa Solar Observatory. Previously, I worked for Tech-X Corporation, where I was the main developer for GPULib, a library of IDL bindings for GPU accelerated computation routines.
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GPULib enables IDL developers to access the high-performance capabilities of modern NVIDIA graphics cards without knowledge of CUDA programming.
TaskDL is a task-farming solution for IDL designed for problems with loosely-coupled, parallel applications where no communication between nodes of a cluster is required.
mpiDL is a library of IDL bindings for Message Passing Interface (MPI) used for tightly-coupled parallel applications.
The Remote Data Toolkit is a library of IDL routines allowing for easy access to various scientific data in formats such as OPeNDAP, HDF 5, and netCDF.
Modern IDL offers IDL programmers one place to look, for beginners and advanced users alike. This book also contains: a thorough tutorial on the core topics of IDL; a comprehensive introduction to the object graphics system; common problems and gotchas with many examples; advanced topics not normally found are discussed throughout the book: regular expressions, object graphics, advanced widget programming, performance, object-oriented programming, etc.
IDLdoc is an open source utility for generating documentation from IDL source code and specially formatted comments.
mgunit is an open source unit testing framework for IDL.
rIDL is an open source IDL command line replacement.
mglib is an open source library of IDL routines in areas of visualization, application development, command line utilities, analysis, data access, etc.
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September 12th, 2011 at 9:39 am
Hi Michael,
I have some questions regarding the GPUlib 1.4. Do you know the function trangulate(.) and trigrid(.) in IDL? Do you plan to include those interpolators for irregular grids on the GPUlib?
Thanks in advance!
Octavio
September 12th, 2011 at 11:24 am
Currently we use the texture mapping features of CUDA to get the interpolation. Implementing interpolators for irregular grids is not supported from CUDA, so we would have to write our our implementations. That is not out of the question, but is not on the immediate timeline currently.