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path: root/Eigen/src/Core/products/GeneralMatrixMatrix.h
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* bug fix forgot to conjugate the scalar factor when neededGravatar Gael Guennebaud2010-07-06
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* reduce code generation and minor speed upGravatar Gael Guennebaud2010-07-06
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* * extend the Has* packet traits and makes all functor use itGravatar Gael Guennebaud2010-07-05
| | | | * extend the packing routines to support conjugation
* fix openmp for row major destinationGravatar Gael Guennebaud2010-07-03
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* fix bug with openmpGravatar Gael Guennebaud2010-07-03
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* s/struct/class/g ; bug reported by ThomasGravatar Benoit Jacob2010-06-30
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* fox blcok size computation for fixed size objectsGravatar Gael Guennebaud2010-06-25
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* email changeGravatar Gael Guennebaud2010-06-24
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* - add a low level mechanism to provide preallocated memory to gemmGravatar Gael Guennebaud2010-06-24
| | | | - ensure static allocation for the product of "large" fixed size matrix
* * makes all product use the new API to set the blocking sizesGravatar Gael Guennebaud2010-06-22
| | | | * fix an issue preventing multithreading (now Dynamic = -1 ...)
* simplify and optimize block sizes computation for matrix products. TheyGravatar Gael Guennebaud2010-06-21
| | | | | are now automatically computed from the L1 and L2 cache sizes which are themselves automatically determined at runtime.
* add runtime API to control multithreadingGravatar Gael Guennebaud2010-06-10
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* make the cache size mechanism future proof by adding level 2 parametersGravatar Gael Guennebaud2010-06-10
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* Made the supression of unused variables portable.Gravatar Hauke Heibel2010-06-08
| | | | EIGEN_UNUSED is not supported on non GCC systems.
* remove ei_ prefix of public global functions, and s/cpu/l1Gravatar Gael Guennebaud2010-06-07
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* Add a proof concept API to configure the blocking parameters at runtime.Gravatar Gael Guennebaud2010-06-07
| | | | After validation of the final API I'll update the other products to use it.
* clean old stuff used to support precompilation inside a binary libGravatar Gael Guennebaud2010-06-07
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* the Index types change.Gravatar Benoit Jacob2010-05-30
| | | | As discussed on the list (too long to explain here).
* clang shocks on this.Gravatar Thomas Capricelli2010-05-21
| | | | | | | | | | | | | | According to people on #llvm, this is indeed not allowed by c++ standard: [01:33] <coppro> what good would mutable do on a reference? [01:33] <dgregor> orzel: gcc is wrong to allow "mutable" on references [01:33] <coppro> just remove mutable; it won't damage the code at all [01:34] <dgregor> "The mutable specifier can be applied only to names of class data members (9.2) and cannot be applied to [01:34] <dgregor> names declared const or static, and cannot be applied to reference members." [01:34] <coppro> constness is not passed from an object to the referents of its members anyways
* stride() => inner/outerStride()Gravatar Gael Guennebaud2010-03-06
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* fix openmp version for scalar types different than floatGravatar Gael Guennebaud2010-03-05
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* remove the 1D and 2D parallelizer, keep only the GEMM specialized oneGravatar Gael Guennebaud2010-03-05
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* minor cleaningGravatar Gael Guennebaud2010-03-05
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* remove Qt's atomic dependency, I don't know what I was doing wrong...Gravatar Gael Guennebaud2010-03-01
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* GEMM: move the first packing of A' before the packing of B'Gravatar Gael Guennebaud2010-03-01
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* make Aron's idea work using Qt's atomic implementation for the synchronisationGravatar Gael Guennebaud2010-03-01
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* implement Aron's idea of interleaving the packing with the first computationsGravatar Gael Guennebaud2010-02-26
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* fix compilation without openmpGravatar Gael Guennebaud2010-02-26
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* implement a smarter parallelization strategy for gemm avoiding multipleGravatar Gael Guennebaud2010-02-26
| | | | paking of the same data
* add a 2D parallelizerGravatar Gael Guennebaud2010-02-23
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* fix typoGravatar Gael Guennebaud2010-02-23
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* significant speedup in the matrix-matrix productsGravatar Gael Guennebaud2010-02-23
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* clean a bit the parallelizerGravatar Gael Guennebaud2010-02-22
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* add initial openmp support for matrix-matrix productsGravatar Gael Guennebaud2010-02-22
| | | | => x1.9 speedup on my core2 duo
* update mixingtype unit test to reflect current status, but it is still clearGravatar Gael Guennebaud2009-09-03
| | | | we should allow matrix products between complex and real ?
* Fix serious bug discovered with gcc 4.2Gravatar Gael Guennebaud2009-09-03
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* overload operartor* with a ProductBase such that "scalar * (mat * mat)" is ↵Gravatar Gael Guennebaud2009-08-11
| | | | | | optimized as one could naturally expect
* more product refactoringGravatar Gael Guennebaud2009-08-06
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* fix vs.net compilation issueGravatar Hauke Heibel2009-08-06
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* add explicit "on the right" triangular solving,Gravatar Gael Guennebaud2009-07-30
| | | | => no temporary when the rhs/unknows is row major
* trmm is now working in all storage order configurationsGravatar Gael Guennebaud2009-07-27
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* add WIP trsmGravatar Gael Guennebaud2009-07-24
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* some cleaningGravatar Gael Guennebaud2009-07-24
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* Implement efficient sefladjoint product (aka SYRK) : C += alpha * U U^TGravatar Gael Guennebaud2009-07-23
| | | | | It is currently available via SelfAdjointView::rankKupdate. TODO: allows to write SelfAdjointView += u * u.adjoint()
* implement high level API for SYMM and fix a couple of bugs related to complexGravatar Gael Guennebaud2009-07-22
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* * GEMM enhencement: no need to pre-transpose the rhsGravatar Gael Guennebaud2009-07-22
| | | | | | | => faster a * b.transpose() product => this also fix a bug in a so far untested situation * SYMM is now ready for use => still have to write the high level stuff to convert natural expressions into a call to SYMM
* more refactoring in the level3 productsGravatar Gael Guennebaud2009-07-22
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* * refactoring of the matrix product into multiple small kernelsGravatar Gael Guennebaud2009-07-21
| | | | | * started an efficient selfadjoint matrix * general matrix product based on the generic kernels ( => need a very little LOC)
* Add an efficient rank2 update function (like the level2 blas xSYR2 routine).Gravatar Gael Guennebaud2009-07-11
| | | | Note that it is already used in Tridiagonalization.
* finally directly calling the low-level products is fasterGravatar Gael Guennebaud2009-07-10
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