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BenchBSSN (80x80x40)

The BenchBSSN benchmark application is the computational kernal for the state of the art black hole simulations performed by the numerical relativity group at the Albert Einstein Institute (Max Planck Institute for Gravitational Physics). Their production simulations are typically run across hundreds of processors for days at a time.

This benchmark assigns a constant load of 80x80x40 grid points on each processor. This is consistent with the actual load used for real production runs.

Machine ID Architecture Fortran Compiler Single Processor
(secs) [1]
MFlops [2][3]
(%Peak)
Scaling
(16 procs) [4]
AMD  
 
Amarok Athlon Box Portland
3.2-3
1145
Apple  
 
G4 Mac Absoft
7.0
Compaq  
 
Lemieux Alpha Native 579 421
(21%)
 
Hitachi  
 
Hitachi SR-8000 SR-8000 Native 889 274
(18%)
IA32 Linux  
 
Platinum Pentium III Portland 3.3-2 2249 108
(11%)
Xeon Pentium Xeon IV 1035.9
IA64 Linux  
 
Titan IA64 efc > 43297 < 5.6
IBM  
 
Psi Power 4 xlc 1225.6 199
(4%)
Seaborg SP3 Native 2863 85
(6%)
SGI  
 
AEI Origin 2000 Native
MIPSpro 7.3.1.2m
4140 59
(15%)

Notes

  1. Measured using Cactus timer (Total time) with gettimeofday clock.
  2. MFlops: This is calculated using the number of floating point operations calculated on the Origin 2000 using perfex including standard optimisation but switching off multadds (compiling with -TARG:madd=OFF). The number of floating point operations for the different cases are listed on the pages describing the individual benchmarks (to come).
  3. MFlops here means 1,000,000 Flops.
  4. Scaling is defined by user time on one processor/user time on 16 processors

Run Notes

[a] Before additional optimisation flags used
      

Cactus Webmaster Last Modified: Wednesday, 29-Jan-2003 03:43:58 CST