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* 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.
* * fix compilation issue in ProductGravatar Gael Guennebaud2008-07-02
| | | | | * added some tests for product and swap * overload .swap() for dynamic-sized matrix of same size
* * resurected Flagged::_expression used to optimize m+=(a*b).lazy()Gravatar Gael Guennebaud2008-07-01
| | | | | (equivalent to the GEMM blas routine) * added a GEMM benchmark
* * added an in-place version of inverseProduct whichGravatar Gael Guennebaud2008-06-29
| | | | | | | might be twice faster fot small fixed size matrix * added a sparse triangular solver (sparse version of inverseProduct) * various other improvements in the Sparse module
* * added innerSize / outerSize functions to MatrixBaseGravatar Gael Guennebaud2008-06-28
| | | | | | | * added complete implementation of sparse matrix product (with a little glue in Eigen/Core) * added an exhaustive bench of sparse products including GMM++ and MTL4 => Eigen outperforms in all transposed/density configurations !
* various work on the Sparse module:Gravatar Gael Guennebaud2008-06-26
| | | | | | | | | | | | | | | | * added some glue to Eigen/Core (SparseBit, ei_eval, Matrix) * add two new sparse matrix types: HashMatrix: based on std::map (for random writes) LinkedVectorMatrix: array of linked vectors (for outer coherent writes, e.g. to transpose a matrix) * add a SparseSetter class to easily set/update any kind of matrices, e.g.: { SparseSetter<MatrixType,RandomAccessPattern> wrapper(mymatrix); for (...) wrapper->coeffRef(rand(),rand()) = rand(); } * automatic shallow copy for RValue * and a lot of mess ! plus: * remove the remaining ArrayBit related stuff * don't use alloca in product for very large memory allocation
* * add bench/benchVecAdd.cpp by Gael, fix crash (ei_pload on non-aligned)Gravatar Benoit Jacob2008-06-26
| | | | | | | | | | | | * introduce packet(int), make use of it in linear vectorized paths --> completely fixes the slowdown noticed in benchVecAdd. * generalize coeff(int) to linear-access xprs * clarify the access flag bits * rework api dox in Coeffs.h and util/Constants.h * improve certain expressions's flags, allowing more vectorization * fix bug in Block: start(int) and end(int) returned dyn*dyn size * fix bug in Block: just because the Eval type has packet access doesn't imply the block xpr should have it too.
* * add ei_pdiv intrinsic, make quotient functor vectorizableGravatar Benoit Jacob2008-06-23
| | | | * add vdw benchmark from Tim's real-world use case
* add experimental code for sparse matrix:Gravatar Gael Guennebaud2008-06-23
| | | | | | | | - uses the common "Compressed Column Storage" scheme - supports every unary and binary operators with xpr template assuming binaryOp(0,0) == 0 and unaryOp(0) = 0 (otherwise a sparse matrix doesnot make sense) - this is the first commit, so of course, there are still several shorcommings !
* add benchmark for sumGravatar Benoit Jacob2008-06-23
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* * refactoring of Product:Gravatar Gael Guennebaud2008-06-19
| | | | | | | | * use ProductReturnType<>::Type to get the correct Product xpr type * Product is no longer instanciated for xpr types which are evaluated * vectorization of "a.transpose() * b" for the normal product (small and fixed-size matrix) * some cleanning * removed ArrayBase
* * Big rework of Assign.h:Gravatar Benoit Jacob2008-06-16
| | | | | | | | | | | | | | | ** Much better organization ** Fix a few bugs ** Add the ability to unroll only the inner loop ** Add an unrolled path to the Like1D vectorization. Not well tested. ** Add placeholder for sliced vectorization. Unimplemented. * Rework of corrected_flags: ** improve rules determining vectorizability ** for vectors, the storage-order is indifferent, so we tweak it to allow vectorization of row-vectors. * fix compilation in benchmark, and a warning in Transpose.
* some documentation fixes (Cwise* and Cholesky)Gravatar Gael Guennebaud2008-05-22
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* * Patch by Konstantinos Margaritis: AltiVec vectorization.Gravatar Benoit Jacob2008-05-03
| | | | * Fix several warnings, temporarily disable determinant test.
* Make products always eval into expressions. Improves performanceGravatar Benoit Jacob2008-05-02
| | | | in benchmark. Still not as fasts as explicit eval(), strangely.
* Fixed a couple of issues introduced in previous commits.Gravatar Gael Guennebaud2008-04-26
| | | | Added a test for Triangular.
* give up on OpenMP... for nowGravatar Benoit Jacob2008-04-18
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* - optimized determinant calculations for small matrices (size <= 4)Gravatar Benoit Jacob2008-04-14
| | | | | | | (only 30 muls for size 4) - rework the matrix inversion: now using cofactor technique for size<=3, so the ugly unrolling is only used for size 4 anymore, and even there I'm looking to get rid of it.
* * Add fixed-size template versions of corner(), start(), end().Gravatar Benoit Jacob2008-04-12
| | | | | | | * Use them to write an unrolled path in echelon.cpp, as an experiment before I do this LU module. * For floating-point types, make ei_random() use an amplitude of 1.
* - cleaner use of OpenMP (no code duplication anymore)Gravatar Benoit Jacob2008-04-11
| | | | | | | | | | | | | | using a macro and _Pragma. - use OpenMP also in cacheOptimalProduct and in the vectorized paths as well - kill the vector assignment unroller. implement in operator= the logic for assigning a row-vector in a col-vector. - CMakeLists support for building tests/examples with -fopenmp and/or -msse2 - updates in bench/, especially replace identity() by ones() which prevents underflows from perturbing bench results.
* Merge Gael's experimental OpenMP parallelization support into Assign.h.Gravatar Benoit Jacob2008-04-11
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* * rename XprCopy -> NestedGravatar Benoit Jacob2008-04-10
| | | | | * rename OperatorEquals -> Assign * move Util.h and FwDecl.h to a util/ subdir
* - merge ei_xpr_copy and ei_eval_if_needed_before_nestingGravatar Benoit Jacob2008-04-06
| | | | | | | - make use of CoeffReadCost to determine when to unroll the loops, for now only in Product.h and in OperatorEquals.h performance remains the same: generally still not as good as before the big changes.
* Make use of the LazyBit, introduce .lazy(), remove lazyProduct.Gravatar Benoit Jacob2008-03-31
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