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* update cholesky benchmarkGravatar Gael Guennebaud2009-02-03
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* various updates in the (still messy) sparse benchmarksGravatar Gael Guennebaud2009-01-28
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* * complete the support of QVector via a QtAlignedMalloc headerGravatar Gael Guennebaud2009-01-20
| | | | * add a unit test for QVector which shows the issue with QVector::fill
* bugfix in Map by Keir MierleGravatar Gael Guennebaud2009-01-18
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* add ublas vector of vector in sparse setter benchGravatar Gael Guennebaud2009-01-17
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* add a sparse setter benchGravatar Gael Guennebaud2009-01-17
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* add a sparse * dense_vector benchGravatar Gael Guennebaud2009-01-14
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* updating FindEigen2.cmake for proper search orderGravatar James Richard Tyrer2009-01-11
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* the big memory changes. the most important changes are:Gravatar Benoit Jacob2009-01-08
| | | | | | | ei_aligned_malloc now really behaves like a malloc (untyped, doesn't call ctor) ei_aligned_new is the typed variant calling ctor EIGEN_MAKE_ALIGNED_OPERATOR_NEW now takes the class name as parameter
* * require CMake 2.6.2 everywhere, Alexander Neundorf says it'd make itGravatar Benoit Jacob2009-01-04
| | | | | | easier to have a uniform requirement in kdesupport for when he makes fixes. * add eigen versioning macros
* * the 4th template param of Matrix is now Options. One bit for storageGravatar Benoit Jacob2009-01-04
| | | | | | | | | | | | | | | | order, one bit for enabling/disabling auto-alignment. If you want to disable, do: Matrix<float,4,1,Matrix_DontAlign> The Matrix_ prefix is the only way I can see to avoid ambiguity/pollution. The old RowMajor, ColMajor constants are deprecated, remain for now. * this prompted several improvements in matrix_storage. ei_aligned_array renamed to ei_matrix_array and moved there. The %16==0 tests are now much more centralized in 1 place there. * unalignedassert test: updated * update FindEigen2.cmake from KDElibs * determinant test: use VERIFY_IS_APPROX to fix false positives; add testing of 1 big matrix
* * make WithAlignedOperatorNew always align even when vectorization is disabledGravatar Benoit Jacob2008-12-30
| | | | * make ei_aligned_malloc and ei_aligned_free honor custom operator new and delete
* * the Upper->UpperTriangular changeGravatar Benoit Jacob2008-12-20
| | | | * finally get ei_add_test right
* various MSVC fixes in BTLGravatar Gael Guennebaud2008-12-19
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* improved MSVC support in cmake files (SSE)Gravatar Gael Guennebaud2008-12-18
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* Update e-mail addressGravatar Benoit Jacob2008-11-24
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* Several improvements in sparse module:Gravatar Gael Guennebaud2008-11-05
| | | | | | | | | * add a LDL^T factorization with solver using code from T. Davis's LDL library (LPGL2.1+) * various bug fixes in trianfular solver, matrix product, etc. * improve cmake files for the supported libraries * split the sparse unit test * etc.
* some cleaning and doc in ParametrizedLine and HyperPlaneGravatar Gael Guennebaud2008-10-25
| | | | Just a thought: what about ParamLine instead of the verbose ParametrizedLine ?
* sparse module:Gravatar Gael Guennebaud2008-10-21
| | | | | - remove some useless stuff => let's focus on a single sparse matrix format - finalize the new RandomSetter
* add the bench file for the RandomSetterGravatar Gael Guennebaud2008-10-21
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* sparse module: add support for umfpack, the sparse direct LUGravatar Gael Guennebaud2008-10-19
| | | | | | | | | | solver from suitesparse (as cholmod). It seems to be even faster than SuperLU and it was much simpler to interface ! Well, the factorization is faster, but for the solve part, SuperLU is quite faster. On the other hand the solve part represents only a fraction of the whole procedure. Moreover, I bench random matrices that does not represents real cases, and I'm not sure at all I use both libraries with their best settings !
* add/update some benchmark files used to test/compare sparse module featuresGravatar Gael Guennebaud2008-10-19
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* Big API change in Cholesky module:Gravatar Gael Guennebaud2008-10-13
| | | | | | | | | | | | | | | | * rename Cholesky to LLT * rename CholeskyWithoutSquareRoot to LDLT * rename MatrixBase::cholesky() to llt() * rename MatrixBase::choleskyNoSqrt() to ldlt() * make {LLT,LDLT}::solve() API consistent with other modules Note that we are going to keep a source compatibility untill the next beta release. E.g., the "old" Cholesky* classes, etc are still available for some time. To be clear, Eigen beta2 should be (hopefully) source compatible with beta1, and so beta2 will contain all the deprecated API of beta1. Those features marked as deprecated will be removed in beta3 (or in the final 2.0 if there is no beta 3 !). Also includes various updated in sparse Cholesky.
* typos in bench/Gravatar Gael Guennebaud2008-08-29
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* BTL:added trisolve action fileGravatar Gael Guennebaud2008-08-26
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* various updates in BTLGravatar Gael Guennebaud2008-08-25
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* renamed inverseProduct => solveTriangularGravatar Gael Guennebaud2008-08-09
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* Add a LU decomposition action in BTL and various cleaning in BTL. For instanceGravatar Gael Guennebaud2008-08-04
| | | | | | all per plot settings have been moved to a single file, go_mean now takes an optional second argument "tiny" to generate plots for tiny matrices, and output of comparison information wrt to previous benchs (if any).
* BTL: - added tridiagonalization and hessenberg decomposition benchGravatar Gael Guennebaud2008-07-28
| | | | - added GOTO library
* * updated benchmark files according to recent renamingsGravatar Gael Guennebaud2008-07-27
| | | | * various improvements in BTL including trisolver and cholesky bench
* * Fix some complex alignment issues in the cache friendly matrix-vector ↵Gravatar Gael Guennebaud2008-07-23
| | | | | | | products. * Minor update of the cores of the Cholesky algorithms to make them more friendly wrt to matrix-vector products => speedup x5 !
* * big rework of Inverse.h:Gravatar Benoit Jacob2008-07-15
| | | | | | | | | | | - remove all invertibility checking, will be redundant with LU - general case: adapt to matrix storage order for better perf - size 4 case: handle corner cases without falling back to gen case. - rationalize with selectors instead of compile time if - add C-style computeInverse() * update inverse test. * in snippets, default cout precision to 3 decimal places * add some cmake module from kdelibs to support btl with cmake 2.4
* enhancements of the plot generator:Gravatar Gael Guennebaud2008-07-13
| | | | | | | | - removed the ugly X11 and PNG gnuplots terminals - use enhanced postscript terminal - use imagemagick to generate the png files (with compression) - disable the fortran impl by default since it is as meaningless as a "C impl" - update line settings
* Optimization: added super efficient rowmajor * vector product (and vector * ↵Gravatar Gael Guennebaud2008-07-13
| | | | | | | | colmajor). It basically performs 4 dot products at once reducing loads of the vector and improving instructions scheduling. With 3 cache friendly algorithms, we now handle all product configurations with outstanding perf for large matrices.
* SVN_SILENT trivial fixGravatar Benoit Jacob2008-07-12
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* fix a cmake issue in FindTvmet and FindMKLGravatar Gael Guennebaud2008-07-12
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* another occurence of that little cmake fixGravatar Benoit Jacob2008-07-12
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* * Optimization: added a specialization of Block for xpr with DirectAccessBitGravatar Gael Guennebaud2008-07-12
| | | | * some simplifications and fixes in cache friendly products
* little cmake fixGravatar Benoit Jacob2008-07-12
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* disable MKL check and fortran for cmake <2.6Gravatar Gael Guennebaud2008-07-12
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* various improvements of the plot generator in BTLGravatar Gael Guennebaud2008-07-12
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* various minor updates in the benchmark suite like non inliningGravatar Gael Guennebaud2008-07-12
| | | | | of some functions as well as the experimental C code used to design efficient eigen's matrix vector products.
* resurrected tvmet, added mt4, intel's MKL and handcoded vectorized backendsGravatar Gael Guennebaud2008-07-10
| | | | in the benchmark suite
* in BTL: a specific bench/action can be selected at runtime, e.g.:Gravatar Gael Guennebaud2008-07-09
| | | | | | BTL_CONFIG="-a ata" ctest -V -R eigen run the all benchmarks having "ata" in their name for all libraries matching the regexp "eigen"
* raah, results were corrupted by overflow. Now slice vectorization isGravatar Benoit Jacob2008-07-09
| | | | | about a +25% speedup which is still nice as i expected zero or even negative benefit.
* add benchmark for slice vectorization... expected it to be little orGravatar Benoit Jacob2008-07-09
| | | | zero benefit... turns out to be 20x speedup. Something is wrong.
* imported a reworked version of BTL (Benchmark for Templated Libraries).Gravatar Gael Guennebaud2008-07-09
| | | | | | | | | | | | the modifications to initial code follow: * changed build system from plain makefiles to cmake * added eigen2 (4 versions: vec/novec and fixed/dynamic), GMM++, MTL4 interfaces * added "transposed matrix * vector" product action * updated blitz interface to use condensed products instead of hand coded loops * removed some deprecated interfaces * changed default storage order to column major for all libraries * new generic bench timer strategy which is supposed to be more accurate * various code clean-up
* add Cholesky and eigensolver benchmarkGravatar Gael Guennebaud2008-07-08
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* - many updates after Cwise changeGravatar Benoit Jacob2008-07-08
| | | | | - fix compilation in product.cpp with std::complex - fix bug in MatrixBase::operator!=
* the big Array/Cwise rework as discussed on the mailing list. The new APIGravatar Benoit Jacob2008-07-08
| | | | can be seen in Eigen/src/Core/Cwise.h.
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