TweetFollow Us on Twitter

FORTRAN Benchmarks
Volume Number:7
Issue Number:1
Column Tag:Jörg's Folder

Absoft's MacFORTRAN II

By Jörg Langowski, MacTutor Editorial Board

Note: Source code files accompanying article are located on MacTech CD-ROM or source code disks.

“Two FORTRANS for MPW”

You have read several columns on the FORTRAN compiler by Language Systems, which for a while was the only one to offer MPW support. Not for long, though; the creators of the first Fortran compiler for the Macintosh, Absoft Co., were not asleep and brought out their MPW FORTRAN, first MacFORTRAN/MPW and recently MacFortran II. A comparison between the two compilers was long overdue, and this month you will find those long-awaited benchmark figures, together with some insights into the code produced by the two compilers.

When I read the Whetstone benchmark figures in the Absoft ad, which were above those of Language Systems’ compiler by more than a factor of two, I was surprised, and curious to find out how they were able to do this. I asked for a sample copy, which they kindly provided, together with a corresponding T-Shirt, so that I can now run advertising for both Language Systems (odd days) and Absoft (even days).

The Absoft MacFORTRAN II package is very easy to set up and use. It comes with a well-written manual and an installation script for MPW 3.1. The manual is very well structured and has an extensive index; the documentations of Absoft and LS Fortran match each other in quality. An extensive set of examples is also provided, showing standard Fortran programming, toolbox calls, performance analysis and Hypercard interfacing.

Code optimization

The installation script sets up a menu that allows you to invoke the Commando interface to the compiler. That interface is almost indispensable; you have a choice between so many different options that it becomes hard to remember or type in everything. Most of these options have to do with code optimization. Absoft lets you switch on or off every available optimization individually. The most important basic optimizations are turned on by the -O compiler switch. They include: subexpression elimination, loop invariant code removal, use unchanged DATA-initialized variables as constants, inline intrinsic functions, and peephole optimization at the machine code level. These optimizations correspond approximately to what the Language System compiler does when you select -opt=3.

However, MacFortran II has more in store. Three more ways of optimizing the code are provided. First, subroutines may be ‘folded’ into the main code, eliminating call overhead (if they are defined in the same file). Second, loops may be expanded into sequences of instructions (‘loop unrolling’). This is approximately equivalent to expanding

do i=1,n
 a(i) = b(i) + c(i)
end do

into

C 1

do i=1,n,2
 a(i) = b(i) + c(i)
 a(i+1) = b(i+1) + c(i+1)
end do

assuming that n is even. This cuts down the number of loop index tests by a factor of two and allows for parallelization on machines that support it (on the Mac’s floating point processor, you can at least distribute the calculation over different FP registers).

The third optimization, called ‘strength reduction’, will try to substitute integer multiplication in loops by integer additions where possible. For instance, the loop:

do i=1,n
 a(i) =i * m
end do

can also be written as

C2

i1 = m
do i=1,n
 a(i) =i1
 i1 = i1 + m
end do

which will run faster if the addition takes less time than the multiplication.

These last three optimizations strategies are often applied already in the source code by Fortran programmers. As an example of loop unrolling, consider the following piece of code from a frequently-employed matrix/vector multiplication routine from the public domain Linpack library:

C 3

      jmin = j+16
      do 60 j = jmin, n2, 16
         do 50 i = 1, n1
            y(i) = ((((((((((((((( (y(i))
     $             + x(j-15)*m(i,j-15)) + x(j-14)*m(i,j-14))
     $             + x(j-13)*m(i,j-13)) + x(j-12)*m(i,j-12))
     $             + x(j-11)*m(i,j-11)) + x(j-10)*m(i,j-10))
     $             + x(j- 9)*m(i,j- 9)) + x(j- 8)*m(i,j- 8))
     $             + x(j- 7)*m(i,j- 7)) + x(j- 6)*m(i,j- 6))
     $             + x(j- 5)*m(i,j- 5)) + x(j- 4)*m(i,j- 4))
     $             + x(j- 3)*m(i,j- 3)) + x(j- 2)*m(i,j- 2))
     $             + x(j- 1)*m(i,j- 1)) + x(j)   *m(i,j)
   50    continue
   60 continue

Here, sixteen of the basic operations are performed in one pass of the loop. Of course, it is necessary to provide code that deals with array dimensions which are not an integer multiple of 16 (or 8, 4, 2). With the loop unrolling option of Absoft’s Fortran, the compiler does this for you.

The increase in execution speed that loop unrolling and subroutine folding provide depends very much on the type of code being operated upon. The Whetstone benchmark, for instance, is strongly affected by subroutine folding. This is not surprising, since the benchmark consists mainly of calls to small subroutines executed over and over again in loops. I have reprinted the Whetstone benchmark in Listing 1, so you can actually see what it is doing.

If you activate loop unrolling and subroutine folding in addition to the basic optimizations, Absoft Fortran runs the Whetstone benchmark at 2466 KWhet/s on a Mac IIx. Language Systems, at its highest optimization level, reaches only 1035 KWhet/s (see Table 1). In real life however, where benchmarks don’t necessarily apply, the speed increase is not quite so dramatic, although still substantial. Absoft Fortran with the basic optimizations still executes the Whetstone program 40% faster than LS Fortran.

The Linpack Benchmark, which mainly tests performance in operations on big matrices, executes about 30% faster under Absoft than under LS Fortran. Note that the loop unrolling actually slows down execution here, because the time-consuming calculations are already unrolled in the source code of the Linpack package. This shows you that you have to test this option carefully before using to see whether it really increases the speed.

Table 1: Language Systems and Absoft Fortran performances on different benchmarks

Compiler Whetstone Linpack Matmult

[KWhet/s] [MFlops] [s]

LSF opt=0 929 0.077 0.1 / 4.80

LSF opt=3 1035 0.103 0.05 / 2.45

ABF no opt. 1265 0.121 0.07 / 3.93

ABF -O 1264 0.134 0.05 / 2.17

ABF -O -h2 1317 0.132 0.07 / 1.93

ABF -O -h4 1345 - 0.05 / 1.91

ABF -O -h8 1346 - 0.07 / 1.95

ABF -O -k 770 (!) 0.126 0.05 / 2.18

ABF -O -Z -G -h2 2466 (!) - 0.05 / 2.16

Why is the code created by the Absoft compiler - even with only the basic optimizations - faster than the LS Fortran code? To understand this, let’s look at the assembler code generated for the matrix multiplication benchmark example from MacTutor Vol. 5, #8. Listing 1 shows the central loop of the multiplication routine for various optimization settings.

You can clearly see that both compilers throw away a lot of redundant code when the optimization is turned on (LSF, opt=3 vs. opt=0; ABF, -O vs. no options). The code generated by both compilers is very tight, but Absoft keeps many more variables in registers. Looking at the complete routine, which is not printed here for space reasons, reveals that Absoft uses all registers except A1, A5, and D1. Language Systems keeps most variables in a local stack frame and must access memory to get them; also, it does not fully exploit the available addressing modes of the 68020, even with the -68020 option turned on. This might be a compromise taken to allow easier generation of 68000 and 68020 code by the same compiler. Since the Absoft Fortran works only on 68020/30 based machines, it could probably be designed to exploit that CPU more efficiently. The floating point registers are used by both compilers to full extent. Note that Absoft does the addition (intermediate calculation in the central loop) in extended precision before converting back to double precision for the final result.

The difference in A and D register use is mainly due to the fact that LS Fortran always generates code that is fully linker-compatible with the other MPW compilers. This means it follows the register-saving conventions which require a subroutine to leave the contents of all registers except A0, A1, D0, D1, and D2 untouched. As long as one just runs a Fortran program, it is not necessary to follow these conventions for each subroutine, but when Fortran routines are to be called from Pascal, it is. Absoft Fortran has an option (-k) that saves and restores A2-A5/D3-D7 at the beginning and the end of each routine, to keep full compatibility with the Macintosh calling conventions. For running plain Fortran code, one does not need this option. Including the register-saving code in Absoft Fortran decreases the Whetstone performance dramatically (as you’ve seen above, the Whetstone figures are very much influenced by the efficiency of subroutine calling). The other benchmarks are not much affected by this option, since subroutine calls make up only a small amount of the total execution time.

Summarizing the benchmark figures, Linpack being the most significant for floating-point calculations, we can grant a fair advantage of about 25-35% in execution speed of Absoft MacFortran II over Language Systems Fortran 2.1. This is in agreement with practical observations; other users of both compilers who I discussed with generally observe speed increases of approx. 30% for pure Fortran code on the Absoft compared to the Language Systems compiler. These figures may be much different for applications which do a lot of cross-language calls.

The loop unrolling options (-h2, -h4, -h8) do not seem to affect the execution speed too much; there is a 10% improvement for the matrix multiplication, and no improvement at all for the Linpack benchmark whose code is already unrolled. The Whetstone benchmark is improved by only about 5%. To show you what the loop unrolling is doing, I have also listed the assembly output for the double (-U) and quadruple (-h4) unrolling.

MacFortran II’s Macintosh interface

Compared to the excellent Macintosh interface that Language Systems Fortran offers, the Absoft MRWE (Macintosh Runtime Window Environment) seems a little rough. It provides you with a resizable terminal window and keyboard input and the possibility to save the output to a file at the end of the program. The elegant menu setup that Language Systems has, where you can assign vectors to Fortran subroutines to user-defined menu items, is missing here.

The good news is that Absoft provides the full source of MRWE, which gives the user the opportunity to read and understand what the code is doing (all Fortran), and possibly modify it. What I also liked about MRWE is that the window setup, dialogs, etc. are kept in resources where they should be. Language Systems takes the easy way out by hard-encoding the window environment into its code. Although LSF’s runtime interface it is very powerful, it would be even better if it were properly resource-based.

Both Fortrans offer optional inclusion of background-processing code under Multifinder. The amount of backgrounding can be controlled by the user in both cases.

Absoft does toolbox calls in a similar way as LS Fortran, by simply calling the routine and adding VAL modifiers to the parameters where call by value is needed. It is not possible to use Pascal calling conventions (as it is in LS Fortran through a PEXTERNAL declaration). The usage of handles and pointers is less convenient than in LS Fortran, where you can use STRUCTURE declarations; that extension is missing in Absoft Fortran and has to be simulated by lots of EQUIVALENCE statements.

For toolbox calling convenience and the Macintosh runtime environment, Language Systems clearly has the advantage.

Summary

Absoft’s MacFortran II is the fastest Fortran for the Macintosh currently available, being about 30% faster than the runner-up, LS Fortran 2.1. For pure number crunching this speed difference might be relevant. If you want easy addition of a Macintosh ‘look and feel’ to your Fortran program, you might prefer LSF with its capability to associate subroutines with menu items. This could in principle be done in Absoft Fortran, but only by modifying the MRWE code, which would be more difficult. If you do a lot of cross-language calling, LSF may have the advantage over Absoft. Another advantage of LSF is the total compatibility with VAX Fortran; for adapting Vax programs to Absoft, one still needs to make some changes now and then, e.g. in I/O statements.

The ideal setup would again be to compile computation-intensive parts in Absoft Fortran with the Pascal-calling option on (taking care not to have too many calls to small subroutines), and run the main program from the Language Systems runtime environment. Well, maybe the two products will move closer to each other in time, Language Systems optimizing its code even more and Absoft adding some convenience to its Mac interface.

Final words

At the end, I want to apologize to Steve Hawley (the author of SteveForth that I reviewed a while ago). I did not see his letter before it was printed in this magazine. I had actually made the error to think that SteveForth was freely available for anyone interested in testing it, because it was on a public accessible FTP host (It was actually removed soon after I had discovered it). Sorry for giving the impression that this is a finished product; SteveForth is not public domain or shareware, but Steve Hawley might make it available later when he gets around to doing some more work on it. I still think that his Forth implementation contains some very interesting ideas, and would be happy to see and review a later version.

At the last minute, I found some very useful information for those of you interested in downloading free-distribution Macintosh software from the Internet network. On the Info-mac mailing list, the following table appeared:

Date: Sun, 11 Nov 90 13:03:56 CST

From: ST5845%SIUCVMB.BITNET@forsythe.stanford.edu

Subject: ftp sites

Here is the list of anonymous FTP sites I promised to share with the net a few weeks ago:

List of Anonymous FTP sites with Macintosh Archives:

------------------------------------------------------------

apple.com 130.43.2.2 /pub/dts/mac

arisia.xerox.com 13.1.100.206 sunfixes, mac, LispUsers, tcp/ip,

ba.excelan.com 130.57.8.6 misc. (looking for suggestions)

bnlux0.bnl.gov 130.199.128.1 looking for suggestions

boombox.micro.umn.edu 128.101.95.95 POP2 email(hypercard->unix host)

brownvm.brown.edu 128.148.128.40 mac

bu.edu 128.197.2.6 RFCs. mail utils, games source, etc.

cc.sfu.ca 128.189.32.250 msdos, mac

citi.umich.edu 35.1.128.16 pathalias, CITI macIP, webster

doc.cso.uiuc.edu 128.174.73.30 msdos (pcsig), mac

elbereth.rutgers.edu 128.6.4.61 sci-fic works, startrek guides,

f.ms.uky.edu 128.163.128.6 mac, msdos, unix-pc

funet.fi 128.214.1.1

genbank.bio.net 134.172.1.160 National Repository for Gene

grape.ecs.clarkson.edu 128.153.13.196 /f/gif

hubcap.clemson.edu 192.5.219.1 /pub/gif

indri.primate.wisc.edu 128.104.230.11 macintosh TransSkel TransDisplay

ix1.cc.utexas.edu 128.83.1.21 /pub/macintosh

merlin.cs.purdue.edu 128.10.2.3 ConcurrenC, Xinu, mac, GIF

net.bio.net 128.92.192.252 /pub/mac

net1.ucsd.edu 128.54.16.10 mac

nyssa.cs.orst.edu 128.193.32.17 GIF, games, misc.

oswego.oswego.edu 129.3.1.1 GNU, mac, kermit

p6xje.ldc.lu.se 130.235.133.7 NCSA telnet 2.2ds, PC networking

pine.circa.ufl.edu 128.227.128.55 this list, RFCs, Internet Worm

polyslo.calpoly.edu 129.65.17.1 Hitchers guide 2 INET:Email list

rascal.ics.utexas.edu 128.83.144.1 /mac

sally.cs.utexas.edu 128.83.1.21 /mac

ssyx.ucsc.edu 128.114.133.1 /pub/mac-misc /pub/startrek

sdres.isd.usgs.gov 130.11.1.2 U.S. Geological Survey public files

sumex-aim.stanford.edu 36.44.0.6 mac archives, Mycin (sun4), imap

sun.cnuce.cnr.it 192.12.192.4 atalk, ka9q, GNU

surya.waterloo.edu 129.97.129.72 /images

tank.uchicago.edu 128.135.4.27 mac

tolsun.oulu.fi 128.214.5.6 amiga, atari, c64, msdos, mac, irc

topaz.rutgers.edu 128.6.4.194 amiga, others, too much to list

trwind.trw.com 129.4.16.70 NNStat,mac, named, sun-utils

tut.fi 128.214.1.2 Images, lots of misc. unix

ucbvax.berkeley.edu 128.32.137.3 /pub/mac

umaxc.weeg.uiowa.edu 128.255.64.80 NCSA telnet, sendmail

umn-cs.cs.umn.edu 128.101.224.1 Sendmail, vectrex, mac, unix-pc,

utsun.s.u-tokyo.ac.jp 133.11.7.250 Japanese PD, msdos, mac, unix, etc.

uwasa.fi 128.214.12.3 mac, pc, suntools, unix, vms

uxa.cso.uiuc.edu 128.174.2.1 mac, msdos (pcsig)

uxe.cso.uiuc.edu 128.174.5.54 /mac/pc/gifs/pc/grape

vega.hut.fi 130.233.200.42 msdos, mac, Kermit, fusion docs,

watmath.waterloo.edu 129.97.128.1 lots of stuff

whitechapel.media.mit.edu 18.85.0.125 OBVIUS, macnh

wpi.wpi.edu 130.215.24.1 dspl, anime, fusion, mac, GNU, ash,

wsmr-simtel20.army.mil 26.2.0.74 msdos, unix, cpm, mac (tenex)

wuarchive.wustl.edu 128.252.135.4 GNU,X.11R3,GIF,info-mac, 4.3BSD

zaphod.ncsa.uiuc.edu 128.174.20.50 NCSA Telnet source, Mathematica

- also 128.174.25.50

Those of you with access to Internet will know how to download files from those sites. Those with Bitnet access can send mail to BITFTP@PUCC which is the FTP gateway to Internet from Bitnet. To find out how to use that service, send a HELP message to BITFTP.

Listing 1: Benchmarks
Matrix multiplication

   program matbench
   real*8 a(50,50),b(50,50),c(50,50)

   time = second(0.)
   do i=1,50
   do j=1,50
 a(i,j) = i + j*0.01
 b(i,j) = a(i,j)
 end do
   end do
   time = second(0.) - time
   write (*,*) “Time to set up matrices:”,time,” seconds”

   time = second(0.)
   call mat_mult(c,50,a,50,b,50,50,50,50)
   time = second(0.) - time
   write (*,*) “Time to multiply matrices:”,time,” seconds”
   
   pause
   end
   
      subroutine mat_mult(c,nc,a,na,b,nb,n1,n2,n3)
c      sets c=a.b; c must be different from a or b
c      na,nb,nc are first dimensions
c      n1 n2 n3 are problem dimensions
c      c is n1xn3
c      a    n1 n2
c      b    n2 n3
      real*8 c(nc,n3),a(na,n2),b(nb,n3)

      do k=1,n3
        do i = 1,n1
        c(i,k) = 0d0
        end do
        do j=1,n2
        do i=1,n1
        c(i,k) = c(i,k)+a(i,j)*b(j,k)
        end do
        end do
      end do
      return
      end

      FUNCTION SECOND(X)
      CALL UTILIZ(TIME)
      SECOND=TIME
      RETURN
      END

      SUBROUTINE UTILIZ(TIME)
      TIME = LONG(362)/60.0
      END
Whetstone benchmark

C
      PROGRAM WHETSTONE
      DIMENSION E1(4)
      COMMON /A/ E1,J,K,L
      COMMON /B/ T,T2
C     SYNTHETIC BENCHMARK  BY CURNOW/WICHMANN
C     ***************************************
C     INITIALIZE CONSTANTS
      T=0.499975
      T1=0.50025
      T2=2.0
C     READ VALUE OF I, CONTROLLING TOTAL WEIGHT:
C     IF I=10 THE TOTAL WEIGHT IS ONE MILLION WHETSTONE INSTUCTIONS
C
      I=10
C
      CALL UTILIZ(TT1)
      CPU1=SECOND(Z)
      II=I
      N1=0
      N2=12*I
      N3=14*I
      N4=345*I
      N5=0
      N6=210*I
      N7=32*I
      N8=899*I
      N9=616*I
      N10=0
      N11=93*I
C     MODULE 1: SIMPLE IDENTIFIERS
      JJ=100
99999 CONTINUE
      X1=1.0
      X2=-1.0
      X3=-1.0
      X4=-1.0
      IF (N1) 12,15,12
12    CONTINUE
      DO 10 I=1,N1
      X1=( X1+X2+X3-X4)*T
      X2=( X1+X2-X3+X4)*T
      X3=( X1-X2+X3+X4)*T
      X4=(-X1+X2+X3+X4)*T
10    CONTINUE
X     CALL POUT(N1,N1,N1,X1,X2,X3,X4)
15    CONTINUE
C     MODULE 2: ARRAY ELEMENTS
      E1(1)=1.0
      E1(2)=-1.0
      E1(3)=-1.0
      E1(4)=-1.0
      DO 20 I=1,N2
      E1(1)=( E1(1)+E1(2)+E1(3)-E1(4))*T
      E1(2)=( E1(1)+E1(2)-E1(3)+E1(4))*T
      E1(3)=( E1(1)-E1(2)+E1(3)+E1(4))*T
      E1(4)=(-E1(1)+E1(2)+E1(3)+E1(4))*T
20    CONTINUE
X     CALL POUT(N2,N3,N2,E1(1),E1(2),E1(3),E1(4))
C     MODULE 3: ARRAY AS PARAMETER
      DO 30 I=1,N3
      CALL PA(E1)
30    CONTINUE
X     CALL POUT(N3,N2,N2,E1(1),E1(2),E1(3),E1(4))
C     MODULE 4: CONDITIONAL JUMPS
      J=1
      DO 40 I=1,N4
      IF(J.EQ.1) GOTO 42
41    J=2
      GO TO 43
42    J=3
43    IF(J.GT.2) GOTO 45
44    J=0
      GO TO 46
45    J=1
46    IF(J.LT.1) GOTO 48
47    J=1
      GO TO 40
48    J=0
40    CONTINUE
X     CALL POUT(N4,J,J,X1,X2,X3,X4)
C     MODULE 5: OMITTED
C     MODULE 6: INTEGER ARITHMETIC
      J=1
      K=2
      L=3
      DO 60 I=1,N6
      J=J*(K-J)*(L-K)
      K=L*K-(L-J)*K
      L=(L-K)*(K+J)
      E1(L-1)=J+K+L
      E1(K-1)=J*K*L
60    CONTINUE
X     CALL POUT(N6,J,K,E1(1),E1(2),E1(3),E1(4))
C     MODULE 7: TRIG. FUNCTIONS
      X=0.5
      Y=0.5
      DO 70 I=1,N7
      X=T*ATAN(T2*SIN(X)*COS(X)/(COS(X+Y)+COS(X-Y)-1.0))
      Y=T*ATAN(T2*SIN(Y)*COS(Y)/(COS(X+Y)+COS(X-Y)-1.0))
70    CONTINUE
X     CALL POUT(N7,J,K,X,X,Y,Y)
C     MODULE 8: PROCEDURE CALLS
      X=1.0
      Y=1.0
      Z=1.0
      DO 80 I=1,N8
      CALL P3(X,Y,Z)
80    CONTINUE
X     CALL POUT(N8,J,K,X,Y,Z,Z)
C     MODULE 9: ARRAY REFERENCES
      J=1
      K=2
      L=3
      E1(1)=1.0
      E1(2)=2.0
      E1(3)=3.0
      DO 90 I=1,N9
      CALL P0
90    CONTINUE
X     CALL POUT(N9,J,K,E1(1),E1(2),E1(3),E1(4))
C     MODULE 10: INTEGER ARITHMETIC
      J=2
      K=3
      IF (N10) 97,105,97
97    CONTINUE
      DO 100 I=1,N10
      J=J+K
      K=J+K
      J=K-J
      K=K-J-J
100   CONTINUE
X     CALL POUT(N10,J,K,X1,X2,X3,X4)
105   CONTINUE
C     MODULE 11: STANDARD FUNCTIONS
      X=0.75
      DO 110 I=1,N11
      X=SQRT(EXP(ALOG(X)/T1))
110   CONTINUE
      JJ=JJ-1
      IF (JJ.GT.0) GOTO 99999
X     CALL POUT(N11,J,K,X,X,X,X)
      CPU2=SECOND(Z)
      CPU2=1000000.0/FLOAT(II)/(CPU2-CPU1)
      WRITE(*,2) CPU2
2     FORMAT(/// “ TOTAL WEIGHT:” ,F10.3,” (IN THOUSANDS OF WHETSTONE”,
     *       “ INSTRUCTIONS)”)
       CALL UTILIZ(TT2)
       TTT=TT2-TT1
       WRITE(*,7777)TTT
7777   FORMAT(‘ TIME TAKEN  ‘,F12.4)
      END
      SUBROUTINE PA(E)
      DIMENSION E(4)
      COMMON /B/ T,T2
      J=0
100   E(1)=( E(1)+E(2)+E(3)-E(4))*T
      E(2)=( E(1)+E(2)-E(3)+E(4))*T
      E(3)=( E(1)-E(2)+E(3)+E(4))*T
      E(3)=(-E(1)+E(2)+E(3)+E(4))/T2
      J=J+1
      IF (J-6) 100,105,105
105   CONTINUE
      RETURN
      END
      SUBROUTINE P0
      DIMENSION E1(4)
      COMMON /A/ E1,J,K,L
      E1(J)=E1(K)
      E1(K)=E1(L)
      E1(L)=E1(J)
      RETURN
      END
      SUBROUTINE P3(X,Y,Z)
      COMMON /B/ T,T2
   AX=X
      AY=Y
      AX=T*(AX+AY)
      AY=T*(AX+AY)
      Z=(AX+AY)/T2
      RETURN
      END
      SUBROUTINE POUT(N,J,K,X1,X2,X3,X4)
      WRITE(*,4) N
      WRITE(*,4) J
      WRITE(*,4) K
      WRITE(*,3) X1
      WRITE(*,3) X2
      WRITE(*,3) X3
      WRITE(*,3) X3
      WRITE(*,3) X4
3     FORMAT(1X,E25.15)
4     FORMAT(1X,I10)
      RETURN
      END

      FUNCTION SECOND(X)
      CALL UTILIZ(TIME)
      SECOND=TIME
      RETURN
      END

      SUBROUTINE UTILIZ(TIME)
      TIME = LONG(362)/60.0
      END

Listing 2: Assembly listing of inner loops of matrix multiply routine


LS Fortran, no optimization

L10009  EQU *
 ;  File “matmult.f”;  Line         16
 MOVE.L $FFFFFFF8(A6),D1
 SUB.L  $FFFFFFAC(A6),D1
 ASL.L  #3,D1
 MOVE.L $FFFFFFF4(A6),D2
 SUB.L  $FFFFFFB8(A6),D2
 MULS.L $FFFFFFB4(A6),D2
 ADD.L  D1,D2
 MOVE.L D2,$FFFFFF84(A6)
 MOVE.L $FFFFFFF8(A6),D1
 SUB.L  $FFFFFFAC(A6),D1
 ASL.L  #3,D1
 MOVE.L $FFFFFFF4(A6),D2
 SUB.L  $FFFFFFB8(A6),D2
 MULS.L $FFFFFFB4(A6),D2
 ADD.L  D1,D2
 MOVE.L D2,$FFFFFF68(A6)
 MOVE.L $FFFFFFF8(A6),D1
 SUB.L  $FFFFFFC4(A6),D1
 ASL.L  #3,D1
 MOVE.L $FFFFFFFC(A6),D2
 SUB.L  $FFFFFFD0(A6),D2
 MULS.L $FFFFFFCC(A6),D2
 ADD.L  D1,D2
 MOVE.L D2,$FFFFFF6C(A6)
 MOVE.L $FFFFFFFC(A6),D1
 SUB.L  $FFFFFFDC(A6),D1
 ASL.L  #3,D1
 MOVE.L $FFFFFFF4(A6),D2
 SUB.L  $FFFFFFE8(A6),D2
 MULS.L $FFFFFFE4(A6),D2
 ADD.L  D1,D2
 MOVE.L D2,$FFFFFF70(A6)
 MOVEA.L$0020(A6),A0
 ADDA.L $FFFFFF6C(A6),A0
 FMOVE.D(A0),FP7
 MOVEA.L$0018(A6),A1
 ADDA.L $FFFFFF70(A6),A1
 FMUL.D (A1),FP7
 MOVEA.L$0028(A6),A1
 ADDA.L $FFFFFF68(A6),A1
 FADD.D (A1),FP7
 MOVEA.L$0028(A6),A1
 ADDA.L $FFFFFF84(A6),A1
 FMOVE.DFP7,(A1)
 ;  File “matmult.f”;  Line         17
 ADDQ.L #1,$FFFFFFF8(A6)
 SUBQ.L #1,D7
 BGT    L10009

LS Fortran, -opt=3 optimization

L10009  EQU *
 ;  File “matmult.f”;  Line         16
 MOVE.L $FFFFFF5C(A6),$FFFFFF58(A6)
 MOVE.L $FFFFFF64(A6),$FFFFFF40(A6)
 MOVEA.L$0020(A6),A0
 ADDA.L $FFFFFF60(A6),A0
 FMOVE.D(A0),FP7
 MOVEA.L$0018(A6),A1
 ADDA.L $FFFFFF40(A6),A1
 FMUL.D (A1),FP7
 MOVEA.L$0028(A6),A1
 ADDA.L $FFFFFF58(A6),A1
 FADD.D (A1),FP7
 FMOVE.DFP7,(A1)
 ;  File “matmult.f”;  Line         17
 MOVEQ  #$0008,D1
 ADD.L  D1,$FFFFFF5C(A6)
 ADD.L  D1,$FFFFFF60(A6)
 ADDQ.L #1,$FFFFFFF8(A6)
 SUBQ.L #1,D7
 BGT.S  L10009

Absoft Fortran, no optimization

L14:

;                c(i,k) = c(i,k)+a(i,j)*b(j,k)

 move.l d3,d2
 sub.l  #$0001,d2
 move.l (20,a7),d4
 move.l d4,d6
 sub.l  #$0001,d6
 move.l (a7),d0
 muls.l d0,d6
 add.l  d6,d2
 move.l d3,d6
 sub.l  #$0001,d6
 move.l (36,a7),d5
 move.l d5,d7
 sub.l  #$0001,d7
 muls.l (8,a7),d7
 add.l  d7,d6
 sub.l  #$0001,d5
 move.l d4,d7
 sub.l  #$0001,d7
 muls.l (16,a7),d7
 add.l  d7,d5
 move.l (200,a7),a2
 fmove.d(a2,d6.l*8),fp2
 move.l (208,a7),a3
 fmove.d(a3,d5.l*8),fp3
 fmul.x fp3,fp2
 move.l (192,a7),a4
 fmove.d(a4,d2.l*8),fp4
 fadd.x fp2,fp4
 move.l d3,d2
 sub.l  #$0001,d2
 move.l d4,d5
 sub.l  #$0001,d5
 muls.l d0,d5
 add.l  d5,d2
 fmove.dfp4,(a4,d2.l*8)
 add.l  #$0001,d3
 move.l (44,a7),d6
 move.l d6,d7
 sub.l  #$0001,d7

;            end do

 move.l d7,(44,a7)
;  loop bottom branch
 tst.l  d7
 bgt    L14

Absoft Fortran, -O optimization

L14:
 move.l d6,d7
 sub.l  #$0001,d7
 move.l d7,d2
 add.l  (236,a7),d2
 add.l  (240,a7),d7
 fmove.d(a2,d7.l*8),fp2
 fmul.d (248,a7),fp2
 fmove.d(a3,d2.l*8),fp3
 fadd.x fp2,fp3
 fmove.dfp3,(a3,d2.l*8)
 add.l  #$0001,d6
 sub.l  #$0001,d4

;            end do

 tst.l  d4
 bgt    L14

Absoft Fortran, -O -U optimization

L27:
 move.l d4,d2
 sub.l  #$0001,d2
 move.l d2,d7
 add.l  d3,d7
 add.l  d0,d2
 fmove.d(a2,d2.l*8),fp2
 fmul.x fp3,fp2
 fmove.d(a3,d7.l*8),fp4
 fadd.x fp2,fp4
 fmove.dfp4,(a3,d7.l*8)
 move.l d4,d2
 add.l  #$0001,d2
 move.l d2,d4
 sub.l  #$0001,d4
 move.l d4,d7
 add.l  d3,d7
 add.l  d0,d4
 fmove.d(a2,d4.l*8),fp5
 fmul.x fp3,fp5
 fmove.d(a3,d7.l*8),fp6
 fadd.x fp5,fp6
 fmove.dfp6,(a3,d7.l*8)
 move.l d2,d4
 add.l  #$0001,d4
 sub.l  #$0002,d6

;            end do

 tst.l  d6
 bgt    L27
 move.l d4,(28,a7)

Absoft Fortran, -O -h4 optimization

L27:
 move.l d4,d2
 sub.l  #$0001,d2
 move.l d2,d7
 add.l  d3,d7
 add.l  d0,d2
 fmove.d(a2,d2.l*8),fp2
 fmul.x fp3,fp2
 fmove.d(a3,d7.l*8),fp4
 fadd.x fp2,fp4
 fmove.dfp4,(a3,d7.l*8)
 move.l d4,d2
 add.l  #$0001,d2
 move.l d2,d4
 sub.l  #$0001,d4
 move.l d4,d7
 add.l  d3,d7
 add.l  d0,d4
 fmove.d(a2,d4.l*8),fp5
 fmul.x fp3,fp5
 fmove.d(a3,d7.l*8),fp6
 fadd.x fp5,fp6
 fmove.dfp6,(a3,d7.l*8)
 add.l  #$0001,d2
 move.l d2,d4
 sub.l  #$0001,d4
 move.l d4,d7
 add.l  d3,d7
 add.l  d0,d4
 fmove.d(a2,d4.l*8),fp7
 fmul.x fp3,fp7
 fmove.d(a3,d7.l*8),fp0
 fadd.x fp7,fp0
 fmove.dfp0,(a3,d7.l*8)
 add.l  #$0001,d2
 move.l d2,d4
 sub.l  #$0001,d4
 move.l d4,d7
 add.l  d3,d7
 add.l  d0,d4
 fmove.d(a2,d4.l*8),fp2
 fmul.x fp3,fp2
 fmove.d(a3,d7.l*8),fp1
 fadd.x fp2,fp1
 fmove.dfp1,(a3,d7.l*8)
 move.l d2,d4
 add.l  #$0001,d4
 sub.l  #$0004,d6

;            end do

 tst.l  d6
 bgt    L27

 

Community Search:
MacTech Search:

Software Updates via MacUpdate

5 slither.io mash-ups we'd love to...
If there's one thing that slither.io has proved, it's that the addictive gameplay of Agar.io can be transplanted onto basically anything and it will still be good fun. It wouldn't be surprising if we saw other developers jumping on the bandwagon,... | Read more »
How to navigate the terrain in Sky Charm...
Sky Charms is a whimsical match-'em up adventure that uses creative level design to really ramp up the difficulty. [Read more] | Read more »
Victorious Knight (Games)
Victorious Knight 1.3 Device: iOS Universal Category: Games Price: $1.99, Version: 1.3 (iTunes) Description: New challenges awaits you! Experience fresh RPG experience with a unique combat mechanic, packed with high quality 3D... | Read more »
Agent Gumball - Roguelike Spy Game (Gam...
Agent Gumball - Roguelike Spy Game 1.0 Device: iOS Universal Category: Games Price: $2.99, Version: 1.0 (iTunes) Description: Someone’s been spying on Gumball. What the what?! Two can play at that game! GO UNDERCOVERSneak past enemy... | Read more »
Runaway Toad (Games)
Runaway Toad 1.0 Device: iOS Universal Category: Games Price: $2.99, Version: 1.0 (iTunes) Description: It ain’t easy bein’ green! Tap, hold, and swipe to help Toad hop to safety in this gorgeous new action game from the creators of... | Read more »
PsyCard (Games)
PsyCard 1.0 Device: iOS Universal Category: Games Price: $1.99, Version: 1.0 (iTunes) Description: From the makers och Card City Nights, Progress To 100 and Ittle Dew PSYCARD is a minesweeper-like game set in a cozy cyberpunk... | Read more »
Sago Mini Robot Party (Education)
Sago Mini Robot Party 1.0 Device: iOS Universal Category: Education Price: $2.99, Version: 1.0 (iTunes) Description: -- Children's Technology Review Editor's Choice -- | Read more »
How to get a high score in every level o...
Sky Charms is an adorable match three puzzler that provides a decent challenge thanks to its creative level design. It regularly presents something new, forcing you to think on your feet. [Read more] | Read more »
Apestorm: Full Bananas (Games)
Apestorm: Full Bananas 1.0 Device: iOS Universal Category: Games Price: $.99, Version: 1.0 (iTunes) Description: ***Launch sale – limited time only!*** Fugitive Apes have taken to the skies in search of revenge after humans have... | Read more »
How to create bigger words in Spellspire
Words have power. At least they do in Spellspire,a game about blasting out magical attacks by making words out of a jumble of letters. And it's a lot of fun. But if you want to be the best, you're going to have to think tactically when you start... | Read more »

Price Scanner via MacPrices.net

15-inch 2.2GHz Retina MacBook Pro on sale for...
Amazon.com has the 15″ 2.2GHz Retina MacBook Pro on sale for $1699.99 including free shipping. Their price is $300 off MSRP, and it’s the lowest price available for this model from any reseller (and... Read more
Apple Beats Microsoft at Own Game; Amazon Pri...
First quarter seasonality combined with an overall disinterested customer base led to an annual decline of 14.7% in worldwide tablet shipments during the first quarter of 2016 (1Q16). Worldwide... Read more
Aleratec Releases Mac Software Upgrade for 1...
California based Aleratec Inc., designer, developer and manufacturer of Portable Device Management (PDM) charge/sync products for mobile devices and professional-grade duplicators for hard disk... Read more
Sale! Amazon offers 27-inch iMac, 13-inch 2.9...
Amazon has the 27″ 3.2GHz 5K iMac and the 13″ 3.9GHz Retina MacBook Pro on sale for $300 off MSRP, each including free shipping, for a limited time: - 27″ 3.2GHz/1TB HD 5K iMac (model MK462LL/A): $... Read more
Apple refurbished 13-inch Retina MacBook Pros...
Apple has Certified Refurbished 13″ Retina MacBook Pros available for up to $270 off the cost of new models. An Apple one-year warranty is included with each model, and shipping is free: - 13″ 2.7GHz... Read more
13-inch 2.7GHz/128GB Retina MacBook Pro on sa...
Take $200 off MSRP on the price of a new 13″ 2.7GHz/128GB Retina MacBook Pro (model MF839LL/A) at Amazon. Shipping is free: - 13″ 2.7GHz/128GB Retina MacBook Pro: $1099.99 $200 off MSRP Act now if... Read more
Apple refurbished clearance 15-inch Retina Ma...
Apple has Certified Refurbished 2014 15″ 2.2GHz Retina MacBook Pros available for $1609, $390 off original MSRP. Apple’s one-year warranty is included, and shipping is free. They have refurbished 15... Read more
27-inch 5K iMacs on sale for up to $150 off M...
B&H Photo has 27″ 5K iMacs on sale for up to $150 off MSRP including free shipping plus NY sales tax only: - 27″ 3.3GHz iMac 5K: $2199 $100 off MSRP - 27″ 3.2GHz/1TB Fusion iMac 5K: $1849.99 $150... Read more
What Does The Refreshed 12-Inch MacBook Tell...
A lot of commentators are complaining that Apple’s update of the 12-Inch MacBook last week is a bit of a damp squib. I don’t know what they were expecting, since it would be very unlike Apple to do a... Read more
Free Wittify Keyboard Now Available On The Ap...
A team of Harvard Business School students have announced that the Wittify Keyboard, a new app utility for iOS devices, is now available on the Apple App Store. The Wittify keyboard and application... Read more

Jobs Board

*Apple* Retail - Multiple Positions - Apple,...
Job Description: Sales Specialist - Retail Customer Service and Sales Transform Apple Store visitors into loyal Apple customers. When customers enter the store, Read more
*Apple* Solutions Consultant - Apple (United...
# Apple Solutions Consultant Job Number: 48260200 Phoenix, Arizona, United States Posted: Apr. 22, 2016 Weekly Hours: 40.00 **Job Summary** As an Apple Solutions Read more
Restaurant Manager (Neighborhood Captain) - A...
…in every aspect of daily operation. WHY YOU'LL LIKE IT: You'll be the Big Apple . You'll solve problems. You'll get to show your ability to handle the stress and Read more
Simply Mac *Apple* Specialist- Service Repa...
Simply Mac is the largest premier retailer of Apple products in the nation. In order to support our growing customer base, we are currently looking for a driven Read more
*Apple* Retail - Multiple Positions - Apple,...
Job Description: Sales Specialist - Retail Customer Service and Sales Transform Apple Store visitors into loyal Apple customers. When customers enter the store, Read more
All contents are Copyright 1984-2011 by Xplain Corporation. All rights reserved. Theme designed by Icreon.