[clean-list] Data intensive programming and Clean

[Groenouwe, C.]

I'm trying to find out:
- How, in general, functional programming languages perform on data-intensive tasks (manipulation of large datasets, e.g.: doing some statistical analysis on a table with 100.000 instances and 30 columns) (regarding speed and memory usage)
- Which functional language performs best?

A quick glance at the following benchmark, gave me the impression that Clean and Caml seem to perform best with regard to memory consumption:

http://shootout.alioth.debian.org/

Is that true?

Additional question: which functional languages exploits (hardware) parallelism running on a multi core CPU best? (Or more CPU's)?

Thanks in advance,

Chide



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