Projects / SHTns / Releases / 2.2.1

Version 2.2.1 of SHTns

Release Notes: In this release parallel transforms are slightly faster and the Python interface has keyword argument support and proper exception handling. A few bugs have been fixed, and a new configure script was implemented to help with compilation and installation.

    Other releases

    •  14 Mar 2014 23:01

    Release Notes: This release adds several new features, including support for Intel Xeon Phi (in native mode only, icc 14+ required). The building process is also more robust, and a feature for saving/restoring configurations allows faster initialization and better bit-level reproducibility of results. A few minor bugs are also fixed.

    •  18 Sep 2013 13:16

    Release Notes: This update corrects a performance problem for the analysis step of large transforms, when spatial data was stored with a contiguous longitude coordinate. Performance of this case is now comparable to other cases (e.g., synthesis and contiguous theta storage).

    •  06 Aug 2013 13:40

    Release Notes: The main new feature in this release is the introduction of scalar spherical harmonic transforms of complex valued spatial data. There is also a new function for controlling the amount of informative output (verbosity). Support for Intel MKL has been improved, the header file is now compatible with std::complex (c++), and a new Python example for solving shallow water equations has been added.

    •  10 Apr 2013 22:12

    Release Notes: This release fixes problems with compilation, adds optional support for the fft provided by intel MKL, and allows multi-threaded and single-threaded libraries to be installed side-by-side. The multi-threaded fftw is detected more reliably. The timing program now works on MacOS X and requires less memory. There are also other minor fixes and improvements.

    •  03 Oct 2012 21:19

    Release Notes: This release adds new functions to access more data structures (m, gauss nodes, etc.) and allows some special operators to be applied in spectral space without performing a transform (like multiplication by cos(theta)). There are also minor improvements and two important bugfixes (one specific to openmp, the other to clang).


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