GPULib 1.2.2 Released

GPULib 1.2.2 is now available from the Tech-X website. 

We've made extensive changes to the build system, which is now cleaner and more robust. Full release notes follow.

Build system changes 
- Added --with-extra-nvcc-flags=... to configure which allows extra flags to be passed to nvcc.
- If --prefix is not set, make install will fail gracefully, instead of attempting to install in /.
- Fixed --with-matlab-dir=... configure option.
- Added IDL and MATLAB configuration info to config.summary to make it easier to troubleshoot problem.
- Added several missing Windows build files.
- Removed several obsolete files and directories. 
- Running 'make clean' will not affect documentation.
- Running 'make install' will properly build code if not already built.
- Install directory is now laid out properly.
- Fixed "No rule to make target `docs/GPULib_UsersGuide.pdf', needed by `all-am'" error.

IDL  changes  
- Fixed bug whereby FFT was only operating on a single row.
- Fixed bug whereby GPUPOW was not found.
- Corrected bwtest example.
- Fixed time reporting for FDTD demo.
- Fixed typo in FDTD demo README.

MATLAB changes 
- Added potential to specify the device number form gpuInit() and accInit().
- Fixed Bug in gpuSet function.
- Fixed Makefile which was incorrect for 32-bit Linux.

2nd edition of Mort Canty's book uses GPULib

From the CRC Press site for Image Analysis, Classification, and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL, Second Edition:

This popular introduction to the processing of remote sensing imagery has been updated to include coverage of the latest versions of the ENVI software environment. This new edition covers support vector machines and other kernel-based methods. Illustrating many programming examples in the array-oriented language ID, the text includes coverage of basic Fourier, wavelet, principal components and minimum noise fraction transformations; convolution filters, topographic modeling, image-to-image registration and ortho-rectification; image fusion; supervised and unsupervised land cover classification with neural networks; hyperspectral analysis; multivariate change detection.

I was excited to hear that GPULib was used in this version of the book. Mort says:

In the text I discuss routines for nonlinear principal component analysis, supervised classification and nonlinear clustering, and explain that they can take advantage of GPULib/CUDA, if installed. (I use your routine GPU_DETECT() to check for GPULib).