Developer Reference for Intel® oneAPI Math Kernel Library - C

Developer Reference

  • 0.10
  • 10/21/2020
  • Public Content
Contents

?larrv2

Computes the eigenvectors of the tridiagonal matrix
T
 =
L
*
D
*
L
T
 given
L
,
D
 and the eigenvalues of
L
*
D
*
L
T
.

Syntax

void slarrv2
(
MKL_INT*
n
,
float*
vl
,
float*
vu
,
float*
d
,
float*
l
,
float*
pivmin
,
MKL_INT*
isplit
,
MKL_INT*
m
,
MKL_INT*
dol
,
MKL_INT*
dou
,
MKL_INT*
needil
,
MKL_INT*
neediu
,
float*
minrgp
,
float*
rtol1
,
float*
rtol2
,
float*
w
,
float*
werr
,
float*
wgap
,
MKL_INT*
iblock
,
MKL_INT*
indexw
,
float*
gers
,
float*
sdiam
,
float*
z
,
MKL_INT*
ldz
,
MKL_INT*
isuppz
,
float*
work
,
MKL_INT*
iwork
,
MKL_INT*
vstart
,
MKL_INT*
finish
,
MKL_INT*
maxcls
,
MKL_INT*
ndepth
,
MKL_INT*
parity
,
MKL_INT*
zoffset
,
MKL_INT*
info
);
void dlarrv2
(
MKL_INT*
n
,
double*
vl
,
double*
vu
,
double*
d
,
double*
l
,
double*
pivmin
,
MKL_INT*
isplit
,
MKL_INT*
m
,
MKL_INT*
dol
,
MKL_INT*
dou
,
MKL_INT*
needil
,
MKL_INT*
neediu
,
double*
minrgp
,
double*
rtol1
,
double*
rtol2
,
double*
w
,
double*
werr
,
double*
wgap
,
MKL_INT*
iblock
,
MKL_INT*
indexw
,
double*
gers
,
double*
sdiam
,
double*
z
,
MKL_INT*
ldz
,
MKL_INT*
isuppz
,
double*
work
,
MKL_INT*
iwork
,
MKL_INT*
vstart
,
MKL_INT*
finish
,
MKL_INT*
maxcls
,
MKL_INT*
ndepth
,
MKL_INT*
parity
,
MKL_INT*
zoffset
,
MKL_INT*
info
);
Include Files
  • mkl_scalapack.h
Description
?larrv2
 computes the eigenvectors of the tridiagonal matrix
T
 =
L
D
L
T
 given
L
,
D
 and approximations to the eigenvalues of
L
D
L
T
. The input eigenvalues should have been computed by larre2a or by previous calls to
?larrv2
.
The major difference between the parallel and the sequential construction of the representation tree is that in the parallel case, not all eigenvalues of a given cluster might be computed locally. Other processors might "own" and refine part of an eigenvalue cluster. This is crucial for scalability. Thus there might be communication necessary before the current level of the representation tree can be parsed.
Please note:
  • The calling sequence has two additional integer parameters,
    dol
     and
    dou
    , that should satisfy
    m
    ≥
    dou
    ≥
    dol
    ≥
    1. These parameters are only relevant when both eigenvalues and eigenvectors are computed (
    stegr2b
     parameter
    jobz
     = 'V').
    ?larrv2
     only computes the eigenvectors corresponding to eigenvalues
    dol
     through
    dou
     in
    w
    . (That is, instead of computing the eigenvectors belonging to
    w
    [0] through
    w
    [
    m
    -1]
    , only the eigenvectors belonging to eigenvalues
    w
    [
    dol
     - 1] through
    w
    [
    dou
     -1]
     are computed. In this case, only the eigenvalues
    dol
    :
    dou
     are guaranteed to be accurately refined to all figures by Rayleigh-Quotient iteration.
  • The additional arguments
    vstart
    ,
    finish
    ,
    ndepth
    ,
    parity
    ,
    zoffset
     are included as a thread-safe implementation equivalent to save variables. These variables store details about the local representation tree which is computed layerwise. For scalability reasons, eigenvalues belonging to the locally relevant representation tree might be computed on other processors. These need to be communicated before the inspection of the RRRs can proceed on any given layer. Note that only when the variable
    finish
     is
    non-zero
    , the computation has ended. All eigenpairs between
    dol
     and
    dou
     have been computed.
    m
     is set to
    dou
     -
    dol
     + 1.
  • ?larrv2
     needs more workspace in
    z
     than the sequential
    slarrv
    . It is used to store the conformal embedding of the local representation tree.
Optimization Notice
Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.
Notice revision #20110804
This notice covers the following instruction sets: SSE2, SSE4.2, AVX2, AVX-512.
Input Parameters
n
The order of the matrix.
n
≥
 0.
vl
,
vu
Lower and upper bounds of the interval that contains the desired eigenvalues.
vl
 <
vu
. Needed to compute gaps on the left or right end of the extremal eigenvalues in the desired range.
vu
 is currently not used but kept as parameter in case needed.
d
Array of size
n
The
n
 diagonal elements of the diagonal matrix
d
. On exit,
d
 is overwritten.
l
Array of size
n
The (
n
-1) subdiagonal elements of the unit bidiagonal matrix
L
 are in elements
0 to
n
-2
 of
l
 (if the matrix is not split.) At the end of each block is stored the corresponding shift as given by
?larre
. On exit,
l
 is overwritten.
pivmin
The minimum pivot allowed in the sturm sequence.
isplit
Array of size
n
The splitting points, at which
the matrix
T
 breaks up into blocks.
The first block consists of rows/columns 1 to
isplit
[ 0 ], the second of rows/columns
isplit
[ 0 ] + 1 through
isplit
[ 1 ], etc.
m
The total number of input eigenvalues. 0
≤
m
≤
n
.
dol
,
dou
If you want to compute only selected eigenvectors from all the eigenvalues supplied, you can specify an index range
dol
:
dou
. Or else the setting
dol
=1,
dou
=
m
 should be applied. Note that
dol
 and
dou
 refer to the order in which the eigenvalues are stored in
w
. If you want to compute only selected eigenpairs, the columns
dol
-1 to
dou
+1 of the eigenvector space
Z
 contain the computed eigenvectors. All other columns of
Z
 are set to zero.
If
dol
 > 1, then
Z
(:,
dol
-1-
zoffset
) is used.
If
dou
 <
m
, then
Z
(:,
dou
+1-
zoffset
) is used.
needil
,
neediu
Describe which are the left and right outermost eigenvalues that still need to be included in the computation. These indices indicate whether eigenvalues from other processors are needed to correctly compute the conformally embedded representation tree.
When
dol
≤
needil
≤
neediu
≤
dou
, all required eigenvalues are local to the processor and no communication is required to compute its part of the representation tree.
minrgp
The minimum relative gap threshold to decide whether an eigenvalue or a cluster boundary is reached.
rtol1
,
rtol2
Parameters for bisection. An interval [
left
,
right
] has converged if
right
-
left
 < max(
rtol1
*
gap
,
rtol2
*max(|
left
|,|
right
|) )
w
Array of size
n
The first
m
 elements of
w
 contain the approximate eigenvalues for which eigenvectors are to be computed. The eigenvalues should be grouped by split-off block and ordered from smallest to largest within the block. (The output array
w
 from
?stegr2a
 is expected here.) Furthermore, they are with respect to the shift of the corresponding root representation for their block.
werr
Array of size
n
The first
m
 elements contain the semiwidth of the uncertainty interval of the corresponding eigenvalue in
w
.
wgap
Array of size
n
The separation from the right neighbor eigenvalue in
w
.
iblock
Array of size
n
The indices of the blocks (submatrices) associated with the corresponding eigenvalues in
w
;
iblock
[
i
]=1 if eigenvalue
w
[
i
] belongs to the first block from the top,
iblock
[
i
]=2 if
w
[
i
] belongs to the second block, and so on
.
indexw
Array of size
n
The indices of the eigenvalues within each block (submatrix). For example:
indexw
[
i
]= 10 and
iblock
[
i
]=2 imply that the (
i
+1)-th eigenvalue
w
[
i
] is the 10th eigenvalue in block 2
.
gers
Array of size 2*
n
The
n
 Gerschgorin intervals (the
i
-th Gerschgorin interval is
(
gers
[2*
i
-2],
gers
[2*
i
-1])
). The Gerschgorin intervals should be computed from the original unshifted matrix.
Not used but kept as parameter for possible future use.
sdiam
Array of size
n
The spectral diameters for all unreduced blocks.
ldz
The leading dimension of the array
z
.
ldz
≥
 1, and if
stegr2b
 parameter
jobz
 = 'V',
ldz
≥
 max(1,
n
).
work
(workspace) array of size 12*
n
iwork
(workspace) Array of size 7*
n
vstart
Non-zero
 on initialization, set to
zero
 afterwards.
finish
A flag that indicates whether all eigenpairs have been computed.
maxcls
The largest cluster worked on by this processor in the representation tree.
ndepth
The current depth of the representation tree. Set to zero on initial pass, changed when the deeper levels of the representation tree are generated.
parity
An internal parameter needed for the storage of the clusters on the current level of the representation tree.
zoffset
Offset for storing the eigenpairs when
z
 is distributed in 1D-cyclic fashion.
OUTPUT Parameters
needil
,
neediu
w
Unshifted eigenvalues for which eigenvectors have already been computed.
werr
Contains refined values of its input approximations.
wgap
Contains refined values of its input approximations. Very small gaps are changed.
z
Array
of size
ldz
 * max(1,
m
)
If
info
 = 0, the first
m
 columns of
the matrix
Z
, stored in the array
z
,
 contain the orthonormal eigenvectors of the matrix
T
 corresponding to the input eigenvalues, with the
i
-th column of
Z
 holding the eigenvector associated with
w
[
i
 - 1]
.
In the distributed version, only a subset of columns is accessed, see
dol
,
dou
, and
zoffset
.
isuppz
Array of size 2*max(1,
m
)
The support of the eigenvectors in
z
, i.e., the indices indicating the non-zero elements in
z
. The
i
-th eigenvector is non-zero only in elements
isuppz
[ 2*
i
-2 ] through
isuppz
[ 2*
i
-1 ]
.
vstart
Non-zero
 on initialization, set to
zero
 afterwards.
finish
A flag that indicates whether all eigenpairs have been computed.
maxcls
The largest cluster worked on by this processor in the representation tree.
ndepth
The current depth of the representation tree. Set to zero on initial pass, changed when the deeper levels of the representation tree are generated.
parity
An internal parameter needed for the storage of the clusters on the current level of the representation tree.
info
= 0: successful exit
> 0: A problem occured in
?larrv2
.
< 0: One of the called
function
s signaled an internal problem.
Needs inspection of the corresponding parameter
info
 for further information.