Re: [ccp4bb]: Parallelization of ccp4 programs on linux cluster ?

[Serge Cohen <cohen@embl-grenoble.fr>]

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Hi,

On the same topic, code optimistaion, did anyone managed to use the 
atlas (atlas-math.sf.net) optimised version of BLAS and LAPACK to use 
the vector capability of G4 (under MacOS X)?

Someone on the fortran mailing list of Apple cited these figures:

++++
Here are some benchmarks from NASA Langley's Jet3D code, which I 
vectorized
for AltiVec earlier this year, and have been refining little by little:

PowerMac G4 1GHz-DP
OS X 10.1.5 / Absoft f77
1CPU-SCALAR
236 MFLOPS

PowerMac G4 1GHz-DP
OS X 10.1.5 / Absoft f77
2CPU-SCALAR
425 MFLOPS

Pentium 4 2GHz/RAMBUS
RH Linux 7.3 / ifc
842 MFLOPS

Cray SV1ex - 500MHz CPU
UNICOS 10.0.1.1 / f90
888 MFLOPS

PowerMac G4 1GHz-DP
OS X 10.1.5 / Absoft f77
1CPU-ALTIVEC
1160 MFLOPS

PowerMac G4 1GHz-DP
OS X 10.1.5 / Absoft f77
2CPU-ALTIVEC
1843 MFLOPS
+++++

In a more general way, which proportion of the CCP4 suite use BLAS and 
LAPACK rather than their own linear algebra implementation, and which 
benefits one can hope to get by using hardware optimised version of 
these two libraries?

Thanks for any comments.

Serge.

- ----------------------------------------------------
Serge Cohen

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