My schedule Nov. 9-10

Assignment part 1:

1. Read the initial assignment
   • C version of document
   • FORTRAN version of document
2. Read the README file in subdirectory Codes assignment/Codes

Project assignments to teams:

1. Translate the LAPACK reduction to bidiagonal form (DGEBRD) to FLAME.
   • Team: Li-Da Huang (lida@cs), Liang-Hai Lee (lianghai@archimedes.ae), Yi-Shao Lai (yishao@max.ae)
2. Translate the LAPACK condition number estimator for a linear system (DGECON) to FLAME.
• Ryan Martino (rmartino@ticam), Irina Mardanova (irina@ticam), Katerina Sokolova (katya@ticam)
3. Translate the LAPACK reduction to Hessenberg form (DGEHRD) to FLAME.
• Qinghua He, Yuqiang Guan, Hijie Xu
4. Translate the LAPACK LQ factorization (DGELQF) to FLAME. (Note: the LQ factorization is much like the QR factorization, except that a lower triangular matrix is computed).
• Vineet Kahlon (kahlon@cs), Ramgopal Mettu
5. Translate the LAPACK QR factorization with column pivoting (DGEQPF) to FLAME.
• Yongjie Zhang (yongjie@gyro.ae), Ruiqi Hu (hurq@cs), Wanwan Ren (rww6@cs)
6. Translate the LAPACK iterative refinement method (DGERFS) to FLAME.
• Erik Reeber (reeber@cs), Yufeng Zhang (zhang_yufeng@usa.net), Teck Toc (toktb@cs)
7. Translate the LAPACK RQ factorization with column pivoting (DGERQF) to FLAME.
• Jill Zarestky (jillz@ticam), Cara Stockham (crstock@ticam), Tara LaForce (tlaforce@ticam)
8. Translate the LAPACK routine for computing the inverse of a matrix (DGETRI) to FLAME. (Alternatively: implement our better matrix inversion routine given in a recent paper. See the PLAPACK webpage: http://www.cs.utexas.edu/users/plapack/)
• Shawn Snider (shawn@ticam), Michael Brewer, Jeff Napper
9. Translate the LAPACK routine that takes a number of Householder transformations, as computed during the QR factorization, and forms the matrix Q (DOPGTR) to FLAME.
• Sung Chang, Yaoquing Yang, Milos Milosevic
10. Translate the LAPACK routine that applies Q, stored as Householder transformations, to a matrix (DOPMTR) to FLAME.
11. Translate the LAPACK routine for computing the inverse of a symmetric positive definite matrix (DPOTRI) to FLAME. (Alternatively: implement our better matrix inversion routine given in a recent paper. See the PLAPACK webpage: http://www.cs.utexas.edu/users/plapack/)

1. Write a FLAME wrapper to the routine from lapack.
2. Write a driver routine to test the routine created in 1. Use the FLA_Obj_show routine to print out some results that can be checked using MATLAB.
3. Rewrite the target routine in FLAME format. The best way to do this is to do the top level routine first, making FLAME wrappers to routines called by this top level routine. Then, layer by layer, replace all routines called by the top level routine.