Mkl-dss-dss-error
LearningModern CodeNetworkingOpen SourceStorageToolsDeveloper TypeEmbedded SystemsGame DevMediaTechnical, Enterprise, HPCWebOSAll ToolsAndroid*HTML5Linux*OS X*Windows*ResourcesCode SamplesContact SupportDocumentationFree SoftwareIntel Registration CenterProduct ForumsSDKsResourcesPartner with IntelAcademic ProgramPartner SpotlightBlack Belt DeveloperDeveloper MeshInnovator ProgramSuccess StoriesLearnBlogBusiness TipsEventsVideosSupportContact SupportDeveloper EvangelistsFAQsForums Search form Search Intel® MKL 10.2 Fixes List Added January 29, 2012 Translating...TranslateChinese SimplifiedChinese TraditionalEnglishFrenchGermanItalianPortugueseRussianSpanishTurkish This is a computer translation of the original content. It is provided for general information only and should not be relied upon as complete or accurate. Share Tweet Share The tables below summarize specific customer issues or feature requests that have been addressed by the indicated product releases. Some items span multiple architectures and/or operating systems and some relate only to a single architecture or operating system. NOTE: The issues, defects, bug reports, and feature requests described below represent specific issues with specific test cases. An item listed here does not imply that it necessarily applies to your application(s). If your situation does not match the specific test case you may not have experienced the error or problem associated with that update. It is not possible to describe the details of every issue and its specific test case in these tables. Providing a complete description of each item in the list below is impractical. For that reason we ask that you post a message on the Intel MKL user forum, /en-us/forums/intel-math-kernel-library/, and reference this page and the "DPD" number associated with the item of interest, if you have questions regarding the information in these tables. These tables are updated regularly to correct any errors and omissions. Intel MKL 10.2 update 7 (14 Dec
LearningModern CodeNetworkingOpen SourceStorageToolsDeveloper TypeEmbedded SystemsGame DevMediaTechnical, Enterprise, HPCWebOSAll ToolsAndroid*HTML5Linux*OS X*Windows*ResourcesCode SamplesContact SupportDocumentationFree SoftwareIntel Registration CenterProduct ForumsSDKsResourcesPartner with IntelAcademic ProgramPartner SpotlightBlack Belt DeveloperDeveloper MeshInnovator ProgramSuccess StoriesLearnBlogBusiness TipsEventsVideosSupportContact SupportDeveloper EvangelistsFAQsForums Search form Search Description of PARDISO errors and messages By Sergey Pudov (Intel), Added March 13, 2011 Translating...TranslateChinese SimplifiedChinese TraditionalEnglishFrenchGermanItalianPortugueseRussianSpanishTurkish This is a computer translation of the original content. It is provided for general information only and should not be relied upon as complete or accurate. https://software.intel.com/en-us/articles/intel-mkl-102-fixes-list Share Tweet Share See the table below for the description of the error indicator. Error ( Integer) Information 0 no error -1 input inconsistency -2 not enough memory -3 reordering problem -4 zero pivot, numerical factorization or iterative refinement problem -5 unclassified (internal) error -6 preordering failed https://software.intel.com/en-us/articles/description-of-pardiso-errors-and-messages (matrix types 11, 13 only) -7 diagonal matrix is singular -8 32-bit integer overflow problem -9 not enough memory for OOC -10 problems with opening OOC temporary files -11 read/write problems with the OOC data file Below each error is described in details: 0: no error -1: Input inconsistency This error can appear in the following situations: Incorrect stage number for PARDISO was called. Incorrect PARDISO calling sequence, e.g. run stage > 1 without initialization results in error reporting. Incorrect number of matrices to be solved was set (PARDISO can be used for solving several matrices with the same sparsity structure at once, taking into account that their maximum number was defined previously. Setting the number of matrices to be solved outside the range of 1≤ … ≤maxfct results in error). PARDISO checks the parameters at each stage for consistency
Search confirm cancel Report adult content: click to rate: Account: (login) More Channels Showcase RSS Channel Showcase 7117933 RSS Channel Showcase 5989468 RSS Channel http://posts737.rssing.com/chan-14852715/all_p2.html Showcase 9035838 RSS Channel Showcase 9003607 Channel Catalog Subsection Catalog Articles on this Page (showing articles 21 to 40 of 112) 07/17/13--03:43: _matdescra(1) = ... 08/19/13--05:38: _Number of non-zeros... 09/17/13--15:35: https://github.com/JuliaSparse/MKLSparse.jl/issues/8 _HELP! Problems enco... 09/21/13--23:52: _Efficiency of Pardiso 11/13/13--05:02: _Pardiso - phase 11 ... 11/13/13--16:58: _Sherman Morrisson a... 12/06/13--15:37: _Lower triangular ma... 12/17/13--21:34: _Eps for Jacobian ca... 01/15/14--05:09: _PARDISO OOC: Value ... 01/30/14--01:48: _Tridigonal solver, ... 02/26/14--12:26: _misunderstanding of... 02/28/14--00:22: _Problems with DSS r... 03/19/14--02:23: _How prevent termina... 03/22/14--23:36: _Intel® Math Kernel ... 04/03/14--19:51: _Problems while usin... 04/06/14--22:31: _ Inner boundary con... 04/07/14--08:44: _dss_solver gives no... 04/09/14--07:03: _PARDISO optimization? 04/15/14--12:06: _MKL POISSON LIBRARY... 04/29/14--15:02: _Manipulation of mat... (showing articles 21 to 40 of 112) Browse the Latest Snapshot Browsing All Articles (112 Articles) Live Browser older | 1 | (Page 2) | 3 | 4 | 5 | 6 | newer 0 0 07/17/13--03:43: matdescra(1) = 'D' in mkl_dcsrmv doesn't work? Contact us about this article Hi, I'm trying to write the equivalent of this matlab code in F#, with ILP64 MKL: S = temp + (I - diag(diag(temp))) where S, temp are matrices in Rn, I is the identity matrix in Rn, and diag(diag(temp)) is the matrix containing only the main diagonal of temp In other words, given the matrix [ a b cd e fg h i ] I want the result [1 b cd 1 fg h 1 ] for any square sparse matrix. I think I can perform part of this operation using mkl_dcsrmv, which computes y := alpha*A*x + beta*y where x and y are the values array of the identity matrix, alpha is -1.0 and beta is 1.0. According to the manual, I can operate on the diagonal by setting the first element of matdescra to 'D'. Given the matrix [1 2 34 5 67 8 9 ] my calculation correctl
Sign in Pricing Blog Support Search GitHub This repository Watch 10 Star 2 Fork 2 JuliaSparse/MKLSparse.jl Code Issues 1 Pull requests 0 Projects 0 Pulse Graphs New issue Tests don't pass #8 Open ranjanan opened this Issue Oct 17, 2015 · 2 comments Projects None yet Labels None yet Milestone No milestone Assignees No one assigned 2 participants ranjanan commented Oct 17, 2015 Hey, the tests don't run, because Base.LinAlg.A_ldiv_B doesn't exist, therefore the tests associated with them would fail. You import them in dss.jl in the tests folder. ranjanan commented Oct 17, 2015 Also, even when I comment out those particular tests, I get the following message repeatedly: MKL-DSS-DSS-Error, Zero pivot detected . Is this supposed to happen? KristofferC commented Oct 17, 2015 Yes, this project is not really in a usable state yet. I started a while ago on fixing things up at #7 but it is not done yet and I have some troubles with method ambiguities. The reason for the "MKL-DSS-DSS-Error, Zero pivot detected" messages is because I am testing if I get the correct error when trying to cholesky factor a non positive definite matrix. MKL does its own printing to stderror which is displayed. I should probably redirect the stdout for those tests. I won't have much time to work on this right now but if you want to contribute I would start at #7 and go from there. Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment Contact GitHub API Training Shop Blog About © 2016 GitHub, Inc. Terms Privacy Security Status Help You can't perform that action at this time. You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session.