LUSolveFlops (3p)

Name

LUSolveFlops - tion count of the solve step of the SuperLU solver.

Synopsis

#include <sunperf.h>


float LUSolveFlops(SuperLUStat_t *stat);


float LUSolveFlops_64(SuperLUStat_t_64 *stat);

Description

Oracle Solaris Studio Performance Library                     LUSolveFlops(3P)



NAME
       LUSolveFlops  - A query function that returns the floating point opera-
       tion count of the solve step of the SuperLU solver.


SYNOPSIS
       #include <sunperf.h>


       float LUSolveFlops(SuperLUStat_t *stat);


       float LUSolveFlops_64(SuperLUStat_t_64 *stat);


PURPOSE
       LUSolveFlops returns the floating point operation count  in  the  solve
       step  of  the SuperLU solver.  This information is collected and stored
       in a structure object of type SuperLUStat_t:

       typedef struct {
           int    *panel_histo;
           double *utime;
           float  *ops;
           int    TinyPivots;
           int    RefineSteps;
       } SuperLUStat_t;

       typedef struct {
           long   *panel_histo;
           double *utime;
           float  *ops;
           long   TinyPivots;
           long   RefineSteps;
       } SuperLUStat_t_64;

       where


       panel_histo is histogram of panel size distribution

       utime is running time at various phases

       ops is operation count at various phases

       TinyPivots is number of tiny pivots

       RefineSteps is number of iterative refinement steps

LUSolveFlops returns the single precision floating point value  in  array  ops
that represents the number of floating point operations performed in the solve
step.


ARGUMENTS
       SuperLUStat_t *stat (input)
                 On entry, stat points to a SuperLUStat_t structure.


SEE ALSO
       StatInit

       StatFree

       LUFactTime

       LUSolveTime

       LUFactFlops

       SuperMatrix

       http://crd.lbl.gov/~xiaoye/SuperLU/

       James W. Demmel, Stanley C. Eisenstat, John R. Gilbert,  Xiaoye  S.  Li
       and  Joseph  W. H. Liu, "A supernodal approach to sparse partial pivot-
       ing", SIAM J. Matrix Analysis and Applications, Vol. 20, Num. 3,  1999,
       pp. 720-755.



                                  7 Nov 2015                  LUSolveFlops(3P)