<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<html><head><meta http-equiv="Content-Type" content="text/html;charset=UTF-8">
<title>SuperLU: SRC/ssp_blas3.c File Reference</title>
<link href="doxygen.css" rel="stylesheet" type="text/css">
<link href="tabs.css" rel="stylesheet" type="text/css">
</head><body>
<!-- Generated by Doxygen 1.5.5 -->
<div class="navigation" id="top">
<div class="tabs">
<ul>
<li><a href="index.html"><span>Main Page</span></a></li>
<li><a href="annotated.html"><span>Data Structures</span></a></li>
<li class="current"><a href="files.html"><span>Files</span></a></li>
</ul>
</div>
</div>
<div class="contents">
<h1>SRC/ssp_blas3.c File Reference</h1>Sparse BLAS3, using some dense BLAS3 operations. <a href="#_details">More...</a>
<p>
<code>#include "<a class="el" href="slu__sdefs_8h-source.html">slu_sdefs.h</a>"</code><br>
<table border="0" cellpadding="0" cellspacing="0">
<tr><td></td></tr>
<tr><td colspan="2"><br><h2>Functions</h2></td></tr>
<tr><td class="memItemLeft" nowrap align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="ssp__blas3_8c.html#4922193147765a6b36d753e5db65a268">sp_sgemm</a> (char *transa, char *transb, int m, int n, int k, float alpha, <a class="el" href="structSuperMatrix.html">SuperMatrix</a> *<a class="el" href="ilu__zdrop__row_8c.html#c900805a486cbb8489e3c176ed6e0d8e">A</a>, float *b, int ldb, float beta, float *c, int ldc)</td></tr>
</table>
<hr><a name="_details"></a><h2>Detailed Description</h2>
<pre>
-- SuperLU routine (version 2.0) --
Univ. of California Berkeley, Xerox Palo Alto Research Center,
and Lawrence Berkeley National Lab.
November 15, 1997
</pre> <hr><h2>Function Documentation</h2>
<a class="anchor" name="4922193147765a6b36d753e5db65a268"></a><!-- doxytag: member="ssp_blas3.c::sp_sgemm" ref="4922193147765a6b36d753e5db65a268" args="(char *transa, char *transb, int m, int n, int k, float alpha, SuperMatrix *A, float *b, int ldb, float beta, float *c, int ldc)" -->
<div class="memitem">
<div class="memproto">
<table class="memname">
<tr>
<td class="memname">int sp_sgemm </td>
<td>(</td>
<td class="paramtype">char * </td>
<td class="paramname"> <em>transa</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">char * </td>
<td class="paramname"> <em>transb</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"> <em>m</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"> <em>n</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"> <em>k</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float </td>
<td class="paramname"> <em>alpha</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="structSuperMatrix.html">SuperMatrix</a> * </td>
<td class="paramname"> <em>A</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float * </td>
<td class="paramname"> <em>b</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"> <em>ldb</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float </td>
<td class="paramname"> <em>beta</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">float * </td>
<td class="paramname"> <em>c</em>, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">int </td>
<td class="paramname"> <em>ldc</em></td><td> </td>
</tr>
<tr>
<td></td>
<td>)</td>
<td></td><td></td><td width="100%"></td>
</tr>
</table>
</div>
<div class="memdoc">
<p>
<pre>
Purpose
=======</pre><p>
<pre> sp_s performs one of the matrix-matrix operations</pre><p>
<pre> C := alpha*op( A )*op( B ) + beta*C,</pre><p>
<pre> where op( X ) is one of</pre><p>
<pre> op( X ) = X or op( X ) = X' or op( X ) = conjg( X' ),</pre><p>
<pre> alpha and beta are scalars, and A, B and C are matrices, with op( A )
an m by k matrix, op( B ) a k by n matrix and C an m by n matrix.</pre><p>
<pre> Parameters
==========</pre><p>
<pre> TRANSA - (input) char*
On entry, TRANSA specifies the form of op( A ) to be used in
the matrix multiplication as follows:
TRANSA = 'N' or 'n', op( A ) = A.
TRANSA = 'T' or 't', op( A ) = A'.
TRANSA = 'C' or 'c', op( A ) = conjg( A' ).
Unchanged on exit.</pre><p>
<pre> TRANSB - (input) char*
On entry, TRANSB specifies the form of op( B ) to be used in
the matrix multiplication as follows:
TRANSB = 'N' or 'n', op( B ) = B.
TRANSB = 'T' or 't', op( B ) = B'.
TRANSB = 'C' or 'c', op( B ) = conjg( B' ).
Unchanged on exit.</pre><p>
<pre> M - (input) int
On entry, M specifies the number of rows of the matrix
op( A ) and of the matrix C. M must be at least zero.
Unchanged on exit.</pre><p>
<pre> N - (input) int
On entry, N specifies the number of columns of the matrix
op( B ) and the number of columns of the matrix C. N must be
at least zero.
Unchanged on exit.</pre><p>
<pre> K - (input) int
On entry, K specifies the number of columns of the matrix
op( A ) and the number of rows of the matrix op( B ). K must
be at least zero.
Unchanged on exit.</pre><p>
<pre> ALPHA - (input) float
On entry, ALPHA specifies the scalar alpha.</pre><p>
<pre> A - (input) SuperMatrix*
Matrix A with a sparse format, of dimension (A->nrow, A->ncol).
Currently, the type of A can be:
Stype = NC or NCP; Dtype = SLU_S; Mtype = GE.
In the future, more general A can be handled.</pre><p>
<pre> B - FLOAT PRECISION array of DIMENSION ( LDB, kb ), where kb is
n when TRANSB = 'N' or 'n', and is k otherwise.
Before entry with TRANSB = 'N' or 'n', the leading k by n
part of the array B must contain the matrix B, otherwise
the leading n by k part of the array B must contain the
matrix B.
Unchanged on exit.</pre><p>
<pre> LDB - (input) int
On entry, LDB specifies the first dimension of B as declared
in the calling (sub) program. LDB must be at least <a class="el" href="slamch_8c.html#ffe776513b24d84b39af8ab0930fef7f">max( 1, n )</a>.
Unchanged on exit.</pre><p>
<pre> BETA - (input) float
On entry, BETA specifies the scalar beta. When BETA is
supplied as zero then C need not be set on input.</pre><p>
<pre> C - FLOAT PRECISION array of DIMENSION ( LDC, n ).
Before entry, the leading m by n part of the array C must
contain the matrix C, except when beta is zero, in which
case C need not be set on entry.
On exit, the array C is overwritten by the m by n matrix
( alpha*op( A )*B + beta*C ).</pre><p>
<pre> LDC - (input) int
On entry, LDC specifies the first dimension of C as declared
in the calling (sub)program. LDC must be at least <a class="el" href="slamch_8c.html#ffe776513b24d84b39af8ab0930fef7f">max(1,m)</a>.
Unchanged on exit.</pre><p>
<pre> ==== Sparse Level 3 Blas routine.
</pre>
</div>
</div><p>
</div>
<hr size="1"><address style="text-align: right;"><small>Generated on Thu Aug 25 13:43:50 2011 for SuperLU by
<a href="http://www.doxygen.org/index.html">
<img src="doxygen.png" alt="doxygen" align="middle" border="0"></a> 1.5.5 </small></address>
</body>
</html>
