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32 bit Fortran Execution Time Benchmarks - Vista on AMD X2 5600

Absoft
11.0
ftn95
5.40
g95
0.92
gfortran
4.4.2
intel
11.1.051
Lahey
7.20.00
Nag
5.2
PGI
9.0-4
AC 12.62 22.78 18.46 12.10 11.13 22.78 28.28 25.77
AERMOD 34.81 41.35 50.97 37.63 22.56 34.36 50.56 27.22
AIR 15.53 31.70 17.37 14.09 13.58 19.48 17.78 15.69
CAPACITA 59.93 108.77 89.17 82.40 74.94 102.20 99.29 54.85
CHANNEL 13.92 31.28 17.81 11.31 14.12 15.40 14.50 14.60
DODUC 40.92 65.63 42.71 35.37 35.49 52.15 49.50 37.49
FATIGUE 7.33 41.56 61.18 18.99 12.69 17.05 12.60 9.58
GAS_DYN 5.52 26.55 26.79 11.66 6.21 12.52 18.02 9.18
INDUCT 30.91 104.45 37.09 33.13 64.76 79.94 64.54 28.80
LINPK 22.78 28.28 24.66 23.46 24.95 22.27 22.57 24.15
MDBX 17.82 36.29 25.53 16.78 18.47 27.40 20.35 19.08
NF 25.58 55.88 50.47 30.47 26.16 38.67 30.72 26.12
PROTEIN 44.76 106.81 72.76 52.22 46.75 79.76 71.31 52.51
RNFLOW 31.65 97.93 39.24 35.46 34.05 36.34 48.99 43.42
TEST_FPU 18.83 66.32 28.45 19.58 18.50 20.60 20.63 18.95
TFFT 7.30 8.80 7.53 6.97 7.20 7.35 7.73 7.55
Geometric Mean 19.87 44.86 32.16 22.62 21.20 28.78 28.67 22.12

 

Compiler Switches
Absoft

af90 -m32 -Ofast -speed_math=10 -OPT:fast_math=off:fast_exp=off -march=opteron -xINTEGER -stack:0x8000000    (downloaded acml library was required for -speed_math=10)

FTN95 ftn95  /p6  /optimise  (slink was used to increase the stack size)
g95 g95 -march=opteron -ffast-math -funroll-loops -O3
gfortran  gfortran -march=native -funroll-loops -ffast-math
Intel ifort /O3 /Qipo /QxHost  /no_prec_div  /link /stack:64000000
Lahey lf95 -inline (35) -o1 -sse2 -nstchk -tp4 -ntrace -unroll (6) -zfm
NAG f95 -O4 -V -ieee=full
PGI pgf90 -V -fastsse -Munroll=n:4 -Mipa=fast,inline

  

Notes
All figures are Execution Times in Seconds - measured on a Dell Dimension E521 with an AMD X2  processor 5600 (2.8 GHz), with 4 x 1024MB 533MHz DDR2 Memory, running Windows Vista Business. Each figure is the average over at least 10 runs (many more for some). Measurement error is typically <1%.  Green cells highlight figures within 10% of the fastest.  Red cells indicate figures which are more than 150% of the fastest.

So far as possible, we have used the compiler switches which give the best overall results.  We have not attempted to tune individual benchmarks, and, in particular cases, different switch settings may give better results. 

Thanks are due to Jos Bergervoet for permission to use his CAPACITA benchmark, to Quetzal Associates for permission to use their CHANNEL, FATIGUE, GAS_DYN, INDUCT, PROTEIN and RNFLOW benchmarks, to David Frank for his TEST_FPU benchmark, and to Ted Addison of McVehil-Monnett Associates for permission to use AERMOD, an air quality model used by the US Environmental Protection Agency.

All the benchmarks have been modified slightly to fit into our benchmarking harness. 

The NF benchmark uses  "nested factorization", a little known but very effective iterative linear solver for huge finite difference matrices.  A paper describing nested factorization, and comparing it to other methods is available here.

 The benchmarks were also used to compare Windows/Intel and Linux compilers. 

 Download Polyhedron Benchmarks