SI
SI
discoversearch

We've detected that you're using an ad content blocking browser plug-in or feature. Ads provide a critical source of revenue to the continued operation of Silicon Investor.  We ask that you disable ad blocking while on Silicon Investor in the best interests of our community.  If you are not using an ad blocker but are still receiving this message, make sure your browser's tracking protection is set to the 'standard' level.
Technology Stocks : Intel Corporation (INTC) -- Ignore unavailable to you. Want to Upgrade?


To: fyodor_ who wrote (133145)4/22/2001 10:49:37 PM
From: fp_scientist  Read Replies (1) | Respond to of 186894
 
Fyo,

I've never tried Gaussian on an x86 computer, so I have no idea what the specific performance characteristics are like


In DFT with gaussians LCAO, you essentially have 3 steps: (a) doing integrals, which involves evaluation of the Error function and recursion relations, plus contraction of something that looks like matrix-times-vector; (b) exchange-correlation quadrature, which involves things like DEXP, DSIN, ERF, etc, plus polynomial evaluations; and (c) diagonalization of the Hamiltonian matrix. This is a pretty nice combo. In the benchmarks I was mentioning, the P4 did extremely well on PRISM (integrals), where memory bandwidth could be an important issue ...

Mainly CI, MC-SCF and (more recently) Coupled Cluster.

You are on the right track! Why bother with CAS, CI, or QCI if you can do CCSD(T)!
[I've made a contribution or two to the literature on the latter ;-)

fp