Performance Problems with intrinsic array multiplikation in Fortran with Su

Hello,
I found a serious performance problem in my application with intrinsic array multiplikation. Therefore I wrote a small test program to check if this a general problem or only exists in my code.
The test program (as seen below) was compiled with Sunstudio12 und Solaris 5.10 on an 64 bit Amd Opteron Machine. First with high optimization (f95 -fast -g), and the second time with out optimization (f95 -O0 -g). In both cases the intrinsic array mupltiplication had a lot of tlb and L2 cache misses (I made some test with the performance analyzer) which caused a huge increase in computation time compared to the explicit loop. In the ideal case the compiler should create the nested loops from the intrinsic statement and both functions should use exactly the same computing time.
I also tried compiling with Studio11, the problem also occurs there. Maybe its a compiler bug but I'm not sure.
Greetings
Michael Kroeger
program test
!Test zur Ausfuehrung einer einfachen array Multiplikation
implicit none
real,dimension(:,:,:),pointer::check1,check2
integer i,j,k,ni,nj,nk,status
ni=1000
nj=1000
nk=100
allocate(check1(0:ni,0:nj,0:nk),STAT=status)
write(*,*)status
allocate(check2(0:ni,0:nj,0:nk),STAT=status)
write(*,*)status
check1(i,j,k)=25
check2(i,j,k)=25
call intrinsic_f(check1)
call withloop(check2,i,j,k)
deallocate(check1,check2)
contains
subroutine intrinsic_f(check1)
real, dimension(:,:,:),pointer::check1
check1=check1*5
end subroutine intrinsic_f
subroutine withloop(check2,ni,nj,nk)
real, dimension(:,:,:),pointer::check2
integer i,j,k,nk,nj,ni
do k=0,nk
do j=0,nj
do i=0,ni
check2(i,j,k)=check2(i,j,k)*5
enddo
enddo
enddo
end subroutine withloop
end program

I will try the large pages, but what me puzzles is, that the intrinsic function has cache misses, but the loop function has not. All documentation says, that the compiler would expand the intrinsic function into 3 nested loops, so that both functions should be essential the same (and the compiler says it has created 3 loops from the intrinsic). Since they are not the same, this is a severe problem.
I have a fairly large code for high performance simulations, and this intrinsic functions are a significant bottle neck. If it is not a compiler bug, I would have to rewrite all intrinsic functions into loops.

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    vkorg EQ i_mvke-vkorg AND
    kunnr IN s_kunnr AND
    werks = p_werks AND
    vrsio EQ p_versn.
    GET THE RECORD TOTAL
    ADD 1 TO w_s716_total_count.
    GET THE ONTIME TOTAL
    IF s716-zcrdotov = 1.
    ADD 1 TO w_s716_ontime_count.
    ENDIF.
    ENDSELECT.
    PERFORM fill_output_table.
    endloop. "i_mvke
    Message was edited by: Agasti Kale

    hi
    good
    wrong->
    SELECT kunnr zzobklgq zzcbklgq
    FROM s679 INTO
    (s679-kunnr,s679-zzobklgq,s679-zzcbklgq) WHERE
    matnr EQ i_mvke-matnr AND
    vrsio EQ p_versn AND
    sptag IN s_billed AND
    werks EQ p_werks AND
    vkorg EQ i_mvke-vkorg AND
    kunnr IN s_kunnr.
    write->
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    WHERE
    matnr EQ i_mvke-matnr AND
    vrsio EQ p_versn AND
    sptag IN s_billed AND
    werks EQ p_werks AND
    vkorg EQ i_mvke-vkorg AND
    kunnr IN s_kunnr.
    do the changes accordingly in the below select statements. you have not post the detail report otherwise i could have help you in other select statements also.
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    >
    Matthias Weisensel wrote:
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    First, thanks for the responses above. I'm impressed with the quality of thought put into them. (Do the forum rules allow me to offer rewards? :) One suggestion in particular made a big performance improvement, and I’m encouraged to hear of good performance in pure XML situations. Unfortunately, I think there is a real performance challenge in two use cases that are pertinent to the XML+relational subject of this post and probably increasingly common as XML DB usage increases:
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    -- The main record table:
    create table RECORDS (
    SSN varchar2(20),
    XMLREC sys.xmltype
    xmltype column XMLREC store as binary xml;
    create index records_ssn on records(ssn);
    -- A dozen code tables represented by one like this:
    create table CODES (
    CODE varchar2(4),
    DESCRIPTION varchar2(500)
    create index codes_code on codes(code);
    -- Some XML records with coded values (the real records are much more complex of course):
    -- I think this took about a minute or two
    DECLARE
    ssn varchar2(20);
    xmlrec xmltype;
    i integer;
    BEGIN
    xmlrec := xmltype('<?xml version="1.0"?>
    <Root>
    <Id>123456789</Id>
    <Element>
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    <Subelement2><Code>21</Code></Subelement2>
    <Subelement3><Code>31</Code></Subelement3>
    </Element>
    <Element>
    <Subelement1><Code>11</Code></Subelement1>
    <Subelement2><Code>21</Code></Subelement2>
    <Subelement3><Code>31</Code></Subelement3>
    </Element>
    <Element>
    <Subelement1><Code>11</Code></Subelement1>
    <Subelement2><Code>21</Code></Subelement2>
    <Subelement3><Code>31</Code></Subelement3>
    </Element>
    </Root>
    for i IN 1..100000 loop
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    end loop;
    commit;
    END;
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    i integer;
    BEGIN
    description := 'This is the code description ';
    for i IN 1..3000 loop
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    end loop;
    commit;
    end;
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    -- A typical real record has 5 Elements and 20 Subelements, meaning more than 20 seconds to display the record
    -- Note we are accessing a single XML record based on SSN
    -- Note also we are reusing the one test code table multiple times for convenience of this test
    select xmlquery('
    for $r in Root
    return
    <Root>
    <Id>123456789</Id>
    {for $e in $r/Element
        return
        <Element>
          <Subelement1>
            {$e/Subelement1/Code}
    <Description>
    {ora:view("disaac","codes")/ROW[CODE=$e/Subelement1/Code]/DESCRIPTION/text() }
    </Description>
    </Subelement1>
    <Subelement2>
    {$e/Subelement2/Code}
    <Description>
    {ora:view("disaac","codes")/ROW[CODE=$e/Subelement2/Code]/DESCRIPTION/text()}
    </Description>
    </Subelement2>
    <Subelement3>
    {$e/Subelement3/Code}
    <Description>
    {ora:view("disaac","codes")/ROW[CODE=$e/Subelement3/Code]/DESCRIPTION/text() }
    </Description>
    </Subelement3>
    </Element>
    </Root>
    ' passing xmlrec returning content)
    from records
    where ssn = '10000';
    The plan shows the nested loop access that slows things down.
    By contrast, a functionally-similar SQL query on relational data will use a hash join and perform 10x to 100x faster, even for a single record. There seems to be no way for the optimizer to see the regularity in the XML structure and perform a corresponding optimization in joining the code tables. Not sure if registering a schema would help. Using structured storage probably would. But should that be necessary given we’re working with a single record?
    Operation Object
    |SELECT STATEMENT ()
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    | NESTED LOOPS (SEMI)
    | TABLE ACCESS (FULL) CODES
    | XPATH EVALUATION ()
    | SORT (AGGREGATE)
    | NESTED LOOPS (SEMI)
    | TABLE ACCESS (FULL) CODES
    | XPATH EVALUATION ()
    | SORT (AGGREGATE)
    | NESTED LOOPS (SEMI)
    | TABLE ACCESS (FULL) CODES
    | XPATH EVALUATION ()
    | SORT (AGGREGATE)
    | XPATH EVALUATION ()
    | SORT (AGGREGATE)
    | XPATH EVALUATION ()
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    | FILTER ()
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    | FILTER ()
    | NESTED LOOPS ()
    | FAST DUAL ()
    | TABLE ACCESS (BY INDEX ROWID) SYS113473_RECORDS_R_PATH_TABLE
    | INDEX (RANGE SCAN) SYS113473_RECORDS_R_PATHID_IX
    | SORT (GROUP BY)
    | FILTER ()
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    | FAST DUAL ()
    | TABLE ACCESS (BY INDEX ROWID) SYS113473_RECORDS_R_PATH_TABLE
    | INDEX (RANGE SCAN) SYS113473_RECORDS_R_PATHID_IX
    | SORT (AGGREGATE)
    | FILTER ()
    | TABLE ACCESS (FULL) CODES
    | FILTER ()
    | NESTED LOOPS ()
    | FAST DUAL ()
    | TABLE ACCESS (BY INDEX ROWID) SYS113473_RECORDS_R_PATH_TABLE
    | INDEX (RANGE SCAN) SYS113473_RECORDS_R_PATHID_IX
    | SORT (GROUP BY)
    | FILTER ()
    | NESTED LOOPS ()
    | FAST DUAL ()
    | TABLE ACCESS (BY INDEX ROWID) SYS113473_RECORDS_R_PATH_TABLE
    | INDEX (RANGE SCAN) SYS113473_RECORDS_R_PATHID_IX
    | SORT (AGGREGATE)
    | FILTER ()
    | TABLE ACCESS (FULL) CODES
    | FILTER ()
    | NESTED LOOPS ()
    | FAST DUAL ()
    | TABLE ACCESS (BY INDEX ROWID) SYS113473_RECORDS_R_PATH_TABLE
    | INDEX (RANGE SCAN) SYS113473_RECORDS_R_PATHID_IX
    | SORT (AGGREGATE)
    | FILTER ()
    | NESTED LOOPS ()
    | FAST DUAL ()
    | TABLE ACCESS (BY INDEX ROWID) SYS113473_RECORDS_R_PATH_TABLE
    | INDEX (RANGE SCAN) SYS113473_RECORDS_R_PATHID_IX
    | SORT (AGGREGATE)
    | TABLE ACCESS (BY INDEX ROWID) SYS113473_RECORDS_R_PATH_TABLE
    | INDEX (RANGE SCAN) SYS113473_RECORDS_R_PATHID_IX
    | TABLE ACCESS (BY INDEX ROWID) RECORDS
    | INDEX (RANGE SCAN) RECORDS_SSN
    Am I on the right path, or am I totally using the wrong approach? I thought about using XSLT but was unsure how to reference the code tables.
    I’ve done the best I can constraining the main record to a single row passed to the XMLQUERY. Given Mark’s post (thanks!) should I be joining and constraining the code tables in the SQL WHERE clause too? That’s going to make the query much more complicated, but right now we’re more concerned about performance than complexity.

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