SRC/ssb2st_kernels.f(3)
β¨ SRC/ssb2st_kernels.f β¨
okay so this is a page from the LAPACK manual (that's the library name, bestie, it's giving "Library Functions Manual" energy) and it's all about one very specific little internal workhorse routine π
πΈ SYNOPSIS πΈ
Functions/Subroutines
subroutine ssb2st_kernels (uplo, wantz, ttype, st, ed, sweep, n, nb, ib, a, lda, v, tau, ldvt, work)β literally the whole point of this page, it'sSSB2ST_KERNELSπ
π Function/Subroutine Documentation π
subroutine ssb2st_kernels (character uplo, logical wantz, integer ttype,
integer st, integer ed, integer sweep, integer n, integer nb, integer
ib, real, dimension( lda, * ) a, integer lda, real, dimension( * ) v,
real, dimension( * ) tau, integer ldvt, real, dimension( * ) work)
π SSB2ST_KERNELS π
Purpose:
so the deal is β SSB2ST_KERNELS is an internal routine used by the SSYTRD_SB2ST subroutine. that's it, that's the whole purpose. it's a backstage-pass kind of routine, not the main character (but like, every main character needs a support system, periodt) π¦
Parameters
UPLOβUPLOisCHARACTER*1β (that's all it says, no cap, the docs are leaving it mysterious)WANTZβWANTZisLOGICALwhich indicate if Eigenvalue are requested or both Eigenvalue/Eigenvectors π« so like, are we just getting the numbers or the numbers and the vectorsTTYPEβTTYPEisINTEGERπSTβSTisINTEGER. internal parameter for indices π₯EDβEDisINTEGER. internal parameter for indices π₯SWEEPβSWEEPisINTEGER. internal parameter for indices π₯NβNisINTEGER. The order of the matrixA. πNBβNBisINTEGER. The size of the band. πIBβIBisINTEGER. π«ΆAβAisREALarray. A pointer to the matrixA. πΈLDAβLDAisINTEGER. The leading dimension of the matrixA. β¨VβVisREALarray, dimension2*nif eigenvalues only are requested or to be queried for vectors. π¦TAUβTAUisREALarray, dimension(2*n). The scalar factors of the Householder reflectors are stored in this array. πLDVTβLDVTisINTEGER. βWORKβWORKisREALarray. Workspace of sizenb. π§
Further Details:
- Implemented by Azzam Haidar. π
- All details are available on technical report, SC11, SC13 papers. π
- Azzam Haidar, Hatem Ltaief, and Jack Dongarra. Parallel reduction to condensed forms for symmetric eigenvalue problems using aggregated fine-grained and memory-aware kernels. In Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC '11), New York, NY, USA, Article 8, 11 pages.
http://doi.acm.org/10.1145/2063384.2063394π₯ - A. Haidar, J. Kurzak, P. Luszczek, 2013. An improved parallel singular value algorithm and its implementation for multicore hardware, In Proceedings of 2013 International Conference for High Performance Computing, Networking, Storage and Analysis (SC '13). Denver, Colorado, USA, 2013. Article 90, 12 pages.
http://doi.acm.org/10.1145/2503210.2503292π₯ - A. Haidar, R. Solca, S. Tomov, T. Schulthess and J. Dongarra. A novel hybrid CPU-GPU generalized eigensolver for electronic structure calculations based on fine-grained memory aware tasks. International Journal of High Performance Computing Applications. Volume 28 Issue 2, Pages 196-209, May 2014.
http://hpc.sagepub.com/content/28/2/196π₯
ngl the citation section is lowkey the most extra part of this whole page and honestly? respect. three whole papers. she did her homework ππ
π Definition at line 170 of file ssb2st_kernels.f. π
π Author π
Generated automatically by Doxygen for LAPACK from the source code. (yes bestie, a robot wrote this, don't come for me π)
and that's the whole vibe check! this page is from LAPACK, Version 3.12.0, and it's literally SRC/ssb2st_kernels.f(3) β like, that's the file, that's the section, we're done here. slay, go read the actual source if you need more ππ
π¦ where this page comes from
- arch rolling: lapack-doc 3.12.1-2 Β· custom
- π girlified by deepseek-ai/DeepSeek-V4.1-Flash-1017 on : a language model's rewrite of the original, under its terms