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Author SHA1 Message Date
Benoit Steiner
120e13b1b6 Added a readme to explain how to compile the tensor benchmarks. 2016-01-28 17:06:00 -08:00
Benoit Steiner
a68864b6bc Updated the benchmarking code to print the number of flops processed instead of the number of bytes. 2016-01-28 16:51:40 -08:00
Benoit Steiner
8217281ae4 Merge latest updates from trunk 2016-01-28 16:20:53 -08:00
Benoit Steiner
c8d5f21941 Added extra tensor benchmarks 2016-01-28 16:20:36 -08:00
Benoit Steiner
7b3044d086 Made sure to call nvcc with the relaxed-constexpr flag. 2016-01-28 15:36:34 -08:00
Rasmus Munk Larsen
acce4dd050 Change Eigen's ColPivHouseholderQR to use the numerically stable norm downdate formula from http://www.netlib.org/lapack/lawnspdf/lawn176.pdf, which has been used in LAPACK's xGEQPF and xGEQP3 since 2006. With the old formula, the code chooses the wrong pivots and fails to correctly determine rank on graded matrices. 
This change also adds additional checks for non-increasing diagonal in R11 to existing unit tests, and adds a new unit test with the Kahan matrix, which consistently fails for the original code.

Benchmark timings on Intel(R) Xeon(R) CPU E5-1650 v3 @ 3.50GHz. Code compiled with AVX & FMA. I just ran on square matrices of 3 difference sizes.

Benchmark               Time(ns)     CPU(ns) Iterations
-------------------------------------------------------
Before:
BM_EigencolPivQR/64        53677       53627      12890
BM_EigencolPivQR/512    15265408    15250784         46
BM_EigencolPivQR/4k  15403556228 15388788368          2

After (non-vectorized version):
Benchmark               Time(ns)     CPU(ns) Iterations  Degradation
--------------------------------------------------------------------
BM_EigencolPivQR/64        63736       63669      10844         18.5%
BM_EigencolPivQR/512    16052546    16037381         43          5.1%
BM_EigencolPivQR/4k  15149263620 15132025316          2         -2.0%

Performance-wise there seems to be a ~18.5% degradation for small (64x64) matrices, probably due to the cost of more O(min(m,n)^2) sqrt operations that are not needed for the unstable formula.
 2016-01-28 15:07:26 -08:00
Gael Guennebaud
b908e071a8 bug #178: get rid of some const_cast in SparseCore 2016-01-28 22:11:18 +01:00
Gael Guennebaud
c1d900af61 bug #178: remove additional const on nested expression, and remove several const_cast. 2016-01-28 21:43:20 +01:00
Benoit Steiner
12f8bd12a2 Merged in jiayq/eigen (pull request PR-159) 
Modifications to the tensor benchmarks to allow compilation in a standalone fashion.
 2016-01-28 11:28:55 -08:00
Yangqing Jia
270c4e1ecd bugfix 2016-01-28 11:11:45 -08:00
Yangqing Jia
c4e47630b1 benchmark modifications to make it compilable in a standalone fashion. 2016-01-28 10:35:14 -08:00
Gael Guennebaud
f50bb1e6f3 Fix compilation with gcc 2016-01-28 13:25:26 +01:00
Gael Guennebaud
ddf64babde merge 2016-01-28 13:21:48 +01:00
Gael Guennebaud
df15fbc452 bug #1158: PartialReduxExpr is a vector expression, and it thus must expose the LinearAccessBit flag 2016-01-28 13:16:30 +01:00
Gael Guennebaud
9bcadb7fd1 Disable stupid MSVC warning 2016-01-28 12:14:16 +01:00
Gael Guennebaud
b4d87fff4a Fix MSVC warning. 2016-01-28 12:12:30 +01:00
Gael Guennebaud
2bad3e78d9 bug #96, bug #1006: fix by value argument in result_of. 2016-01-28 12:12:06 +01:00
Gael Guennebaud
7802a6bb1c Fix unit test filename. 2016-01-28 09:35:37 +01:00
Benoit Steiner
4bf9eaf77a Deleted an invalid assertion that prevented the assignment of empty tensors. 2016-01-27 17:09:30 -08:00
Benoit Steiner
291069e885 Fixed some compilation problems with nvcc + clang 2016-01-27 15:37:03 -08:00
Benoit Steiner
47ca9dc809 Fixed the tensor_cuda test 2016-01-27 14:58:48 -08:00
Benoit Steiner
55a5204319 Fixed the flags passed to nvcc to compile the tensor code. 2016-01-27 14:46:34 -08:00
Gael Guennebaud
4865e1e732 Update link to suitesparse. 2016-01-27 22:48:40 +01:00
Benoit Steiner
9dfbd4fe8d Made the cuda tests compile using make check 2016-01-27 12:22:17 -08:00
Benoit Steiner
5973bcf939 Properly specify the namespace when calling cout/endl 2016-01-27 12:04:42 -08:00
Eugene Brevdo
c8d94ae944 digamma special function: merge shared code. 
Moved type-specific code into a helper class digamma_impl_maybe_poly<Scalar>.
 2016-01-27 09:52:29 -08:00
Gael Guennebaud
9c8f7dfe94 bug #1156: fix several function declarations whose arguments were passed by value instead of being passed by reference 2016-01-27 18:34:42 +01:00
Gael Guennebaud
9aa6fae123 bug #1154: move to dynamic scheduling for spmv products. 2016-01-27 18:03:51 +01:00
Gael Guennebaud
9ac8e8c6a1 Extend mixing type unit test with trmv, and the following not yet supported products: trmm, symv, symm 2016-01-27 17:29:53 +01:00
Gael Guennebaud
6da5d87f92 add nomalloc unit test for rank2 updates 2016-01-27 17:26:48 +01:00
Gael Guennebaud
9801c959e6 Fix tri = complex * real product, and add respective unit test. 2016-01-27 17:12:25 +01:00
Gael Guennebaud
21b5345782 Add meta_least_common_multiple helper. 2016-01-27 17:11:39 +01:00
Gael Guennebaud
fecea26d93 Extend doc on shifting strategy 2016-01-27 15:55:15 +01:00
Ville Kallioniemi
02db1228ed Add constructor for long types. 2016-01-26 23:41:01 -07:00
Gael Guennebaud
412bb5a631 Remove redundant test. 2016-01-26 23:35:30 +01:00
Gael Guennebaud
0f8d26c6a9 Doc: add flip* and arrayfun MatLab equivalent. 2016-01-26 23:34:48 +01:00
Gael Guennebaud
cfa21f8123 Remove dead code. 2016-01-26 23:33:15 +01:00
Gael Guennebaud
6850eab33b Re-enable blocking on rows in non-l3 blocking mode. 2016-01-26 23:32:48 +01:00
Gael Guennebaud
aa8c6a251e Make sure that micro-panel-size is smaller than blocking sizes (otherwise we might get a buffer overflow) 2016-01-26 23:31:48 +01:00
Gael Guennebaud
5b0a9ee003 Make sure that block sizes are smaller than input matrix sizes. 2016-01-26 23:30:24 +01:00
Benoit Jacob
639b1d864a bug #1152: Fix data race in static initialization of blas 2016-01-26 11:44:16 -05:00
Christoph Hertzberg
44d4674955 bug #1153: Don't rely on __GXX_EXPERIMENTAL_CXX0X__ to detect C++11 support 2016-01-26 16:45:33 +01:00
Hauke Heibel
5eb2790be0 Fixed minor typo in SplineFitting. 2016-01-25 22:17:52 +01:00
Gael Guennebaud
8328caa618 bug #51: add block preallocation mechanism to selfadjoit*matrix product. 2016-01-25 22:06:42 +01:00
Gael Guennebaud
2f9e6314b1 update BLAS interface to general_matrix_matrix_triangular_product 2016-01-25 21:56:05 +01:00
Gael Guennebaud
e58827d2ed bug #51: make general_matrix_matrix_triangular_product use L3-blocking helper so that general symmetric rank-updates and general-matrix-to-triangular products do not trigger dynamic memory allocation for fixed size matrices. 2016-01-25 17:16:33 +01:00
Gael Guennebaud
c10021c00a bug #1144: clarify the doc about aliasing in case of resizing and matrix product. 2016-01-25 15:50:55 +01:00
Gael Guennebaud
b114e6fd3b Improve documentation. 2016-01-25 11:56:25 +01:00
Gael Guennebaud
869b4443ac Add SparseVector::conservativeResize() method. 2016-01-25 11:55:39 +01:00
Benoit Steiner
e3a15a03a4 Don't explicitely evaluate the subexpression from TensorForcedEval::evalSubExprIfNeeded, as it will be done when executing the EvalTo subexpression 2016-01-24 23:04:50 -08:00