LAPACK (Linear Algebra PACKage) is a commonly used library of subroutines for numerical linear algebra tasks, including solutions of linear sets of equations, linear least squares, eigenvalue problems, and singular value decomposition. LAPACK routines may be used with fortran, C and relatives and a ...

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Lapack : dgeev strange behaviour

I have a problem that is quite strange. I use c++ and dgeev Lapack to diagonalize and find the eigenvectors of a 36x36 real non symmetrical matrix. The documentation explains the following : if ...
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43 views

How can QR iteration with complex matrices produce complex diagonal entries?

In Lapack (zhseqr) and matlab, the eigenvalues of a complex matrix are computed successfully. I notice that QR iteration or algorithm is involved with that process. QR iteration repeats to call QR ...
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1answer
72 views

Threaded QR with column pivoting

My program needs to perform pivoted QR decomposition on tall (e.g. 1e9 by 100) matrices. I run into the bottleneck that the major computational time of my program is spent on doing serial pivoted-QR ...
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1answer
69 views

Flop counts for LAPACK symmetric eigenvalue routines DSYEV, DSYEVD, DSYEVX and DSYEVR

LAPACK has following 4 routines for calculating eigenvalues of a real symmetric matrix; namely DSYEV, DSYEVD, DSYEVX and DSYEVR (DSYEVR being the recommended one). If I were to calculate both ...
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Why would this a pair of E5-2670 cpus be faster than 4 E5-2640 cpus for large matrix diagonalisation problems?

Not really much more to say; Of several computers available for use, these are two of the larger ones; one has 2x E5-2670, and the other has 4x E5-4640. The problems we're looking at essentially boil ...
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3answers
283 views

Fast vector - “diagonal” matrix multiplication

Let $\mathbf{1}\in\mathbb{R}^d$ be a vector with all elements equal to $1$. Define: $$\mathbf{D} = \mathrm{diag}(\mathbf{1}^\top,\mathbf{1}^\top,\ldots,\mathbf{1}^\top) = \begin{bmatrix} 1 \cdots 1 ...
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2answers
85 views

Do vendors release their own LAPACK library?

Every CPU vendor seems to make BLAS libraries that are specialized to run on their hardware. Do they do the same for LAPACK? Or is that a non-issue because LAPACK is written entirely in terms of BLAS ...
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1answer
71 views

cgees subroutine

I'm tryng to learn to use a lapack subroutine but I got stuck. I hope this is the right forum... In this fortran program I'd like as a test to find the Shur form of the matrix ((0,1)(1,0)) using ...
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1answer
197 views

Solving for null space of a matrix with mkl LAPACK

I want to find a solution for $xA=0$, where $A$ is a square matrix. I know that most of the LAPACK routines solve for $Ax=b$. So I take $A^T$ as a, and set $b=0$. I have an additional restriction of ...
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1answer
185 views

how to use lanczos code from netlib for large sparse symmetric matrix?

I want to use lanczos method to calculate the few lowest eigenvalue and eigen-vector of a large sparse symmetric matrix(~50k x ~50k). In http://www.netlib.org/lanczos/index.html I found the codes ...
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3answers
277 views

Eigenvectors: Mathematica vs. LAPACK dgeev

I've been using LAPACK dgeev in FORTRAN in the last months spending hours to diagonalize ~4000*4000 matrices. It takes about 2'75 hours to find eigenvalues and ...
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344 views

what is difference “DSYEV(LAPACK SUBROUTINE)” and “Lanczos”?

I am working on Fermion and Boson Hubbard Models, in which the dimension of Hilbert Spaces are quite large (~50k). Because the Hamiltonian matrix is ~50k X ~50k, to diagonalize these big sparse ...
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0answers
79 views

Lapack++ for QR algorithm

I have recently started using Lapack++ which I found convenient for my programming purpose, in general. Now, I need to solve a matrix using QR algorithm. I've searched the user manual and I found a ...
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3answers
442 views

What is the relationship of BLAS, LAPACK, and other linear algebra libraries?

I have been looking into C++ linear algebra libraries for a project I've been working on. Something that I still don't have any grasp on is the connection of BLAS and LAPACK to other linear algebra ...
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1answer
181 views

lapack singular matrix

I'd like to find a condition that allows me to determine if a matrix is invertible or not. naively, I computed the determinant to see if it was zero. but then I realized that even for very small ...
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2answers
217 views

lapack dorgqr qr decomposition matrix $m\times n$ with $m<n$

I'd like to do a $A=QR$ decomposition of a matrix $A$, with $m\times n$. I use dgeqrf_ (or dgeqp3_) to proceed to the first part ...
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3answers
293 views

Is there any benefit to compiling LAPACK from source versus installing the prebuilt package from Ubuntu?

I know that ATLAS is able to optimize itself for the machine it is compiled on and thus maximum benefits are found by compiling from source. Is there any benefit to compiling LAPACK from source? It ...
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1answer
124 views

$\mathbf{UDU}^\top$ decomposition routines in LAPACK/Eigen?

I would like to compute the decomposition of a real symmetric positive definite matrix $\mathbf{A} = \mathbf{UDU}^\top$. LINPACK seems to have it as DSIFA, but I ...
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3answers
1k views

Solving a sparse and highly ill-conditioned system

I intend to solve Ax = b where A is complex, sparse, unsymmetric and highly ill-conditioned (condition number ~ 1E+20) square or rectangular matrix. I have been able to solve the system with ZGELSS in ...
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2answers
1k views

solve $xA=b$ for $x$ using LAPACK and BLAS

I am porting an existing code from MATLAB to C++ and have a linear system to solve $xA=b$ (rather than the more typical form $Ax=b$) The matrix $A$ is dense, and of general form, but is no larger ...
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1answer
214 views

Singular matrix - but SVD works - what does the eigenvalues mean? Find I the “dependent” lines?

please can I ask a bit stupid question? I have a complex matrix A as a set of equations. I wanted to find the solution of Ax=b where b is vector of right-hand side. So I have called zgetrf on A (does ...
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96 views

FFT - function only in sine series? Can be done with MKL / Lapack?

please can I ask, how one can make from function sine series (Fourier transform) with MKL? I can do "normal" exponential FFT with MKL (Lapack of course), how can I say that I want only sine series? ...
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2answers
173 views

LAPACK - singular matrices - what does the positive integer info mean?

please can you help me with my code - I use Lapack to solve complex matrix (quite biq) and do it in two steps: I call zgetrf (LU factorization) and then ...
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1answer
922 views

Threaded OpenBlas benchmark slower than system blas?

I'm not sure if I did something wrong or if I just didn't understand the concept of an optimized BLAS. I'm a FEM engineer trying to optimize my setup on a small cluster computer (six nodes). I'm ...
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102 views

Understanding Inner blocking size in lapack/plasma

I could not get accurate description that aids to my understanding of inner blocking size parameter that is used in many LAPACK routines(such as DGEQRT, DLARFB). Thanks
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1answer
438 views

Magma vs. Plasma

I'm having a difficult time understanding the difference between the linear algebra packages MAGMA and PLASMA from just a quick glance. It looks like MAGMA is oriented towards GPU's and vector ...
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2answers
617 views

What are the fastest available implementations of BLAS/LAPACK or other linear algebra routines on GPU systems?

nVidia, for example, has CUBLAS, which promises 7-14x speedup. Naively, this is nowhere near the theoretical throughput of any of nVidia's GPU cards. What are the challenges in speeding up linear ...
5
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1answer
143 views

Dense generalized hermitian indefinite eigenvalue problem

Lapack contains a driver routine to solve dense generalized Hermitian positive definite eigenvalue problems of the form $Ax=\lambda Bx$, where $A$ and $B$ are both Hermitian, and $B$ is positive ...
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1answer
750 views

BLAS/LAPACK subroutine to add two matrices with different offsets and leading dimensions

I currently searching for a subroutine from BLAS or LAPACK which realizes the following operation A = alpha*A + beta * B where A and B have different leading ...
8
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1answer
329 views

Does PETSc ever make use of LAPACK libraries for sparse matrix math?

Does compiling PETSc with an external BLAS/LAPACK library significantly affect performance on sparse matrices, or does it only use those libraries for dense matrix math?
4
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1answer
77 views

Efficient computation of the extension of a linear basis to completion when the basis is almost complete (ideally using LAPACK routines)

I have a $p \times n$ matrix $B$ (where $n < p$) with orthonormal columns and would like to find a numerically efficient way to extend this matrix to get a complete $p$-dimensional orthonormal ...
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3answers
2k views

Understanding how Numpy does SVD

I have been using different methods to calculate both the rank of a matrix and the solution of a matrix system of equations. I came across the function linalg.svd. Comparing this to my own effort of ...
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2answers
1k views

What is the corresponding LAPACK function behind Matlab [Q,R,E]=qr(A)?

I currently trying to cheaply compute a good rank estimate for a matrix $A$. Therefore I compute a columnt pivoting QR decompostion using [Q,R,E]=qr(A) in ...
11
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3answers
727 views

Why isn't my Matrix-Vector Multiplication Scaling?

Sorry for the long post but I wanted to include everything that I thought was relevant in the first go. What I want I am implementing a parallel version of Krylov Subspace Methods for Dense ...
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2answers
2k views

How do I use ScaLapack/PBLAS for Matrix-Vector Multiplication?

After going to all possible "Introductions" to ScaLapack, I still can't understand how to carry out a simple PDGEMV operation using it. Here is what I must do : ...
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1answer
1k views

How does LAPACK solve tridiagonal systems and why

In my project I have to solve a couple of tridiagonal matrices at every time step, so it is crucial to have a good solver for those. I did my own implementation, just the classical way to do it ...
5
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4answers
278 views

Easily accessible scientific code that uses LAPACK

I would like to analyze some well-used scientific codes that make heavy use of LAPACK. I.e. I'm looking for codes that both spend a lot of time within LAPACK functions and use LAPACK non-trivially ...
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3answers
869 views

Matrix exponential of a real asymmetric matrix with Fortran 95 and LAPACK

I recently asked a question along the same lines for skew-Hermitian matrices. Inspired by the success of that question, and after banging my head against a wall for a couple of hours, I'm looking at ...
9
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3answers
652 views

Matrix exponential of a skew-Hermitian matrix with fortran 95 and LAPACK

I'm just getting tucked into fortran 95 for some quantum mechanics simulations. Honestly, I've been spoiled by Octave so I've taken matrix exponentiation for granted. Given a (small, $n\leq 36$) ...