Re^2: Perl's hash table implementation

Hi,

Basically, the kind of programming I do involves a lot of hash table work. This makes Perl an attractive technology for me because of its simple hash table interface. When doing an MSc in High Performance Computing I was not allowed to use Perl because my dissertation could not have been taken seriously because, and I quote from my supervisors, 'only C and Fortran are taken seriously as High performance programming languages'. So for my disssertation I had to use a less simple hash table C interface like http://www.cl.cam.ac.uk/~cwc22/hashtable/

And so, in a nutshell, I was just interested in comparing these Hash table implementations. Anyway, thanks for pointing me in the right direction.

Comment on Re^2: Perl's hash table implementation

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Re^3: Perl's hash table implementation by JavaFan (Canon) on Oct 07, 2010 at 09:33 UTC
This makes Perl an attractive technology for me because of its simple hash table interface. Yeah, but the implementation is focussed on Perl. It's certainly not a wrapper around an external C library. It won't be simple to lift the hash implementation out of perl, and adapt it for another language, and still have something that blends well with that language. only C and Fortran are taken seriously as High performance programming languages There may be a few others (or not...), but Perl certainly isn't known for being suitable as a "high performance" language when it comes to number crunching, or dealing with massive amounts of in-memory data.	[reply]
Re^3: Perl's hash table implementation by Anonymous Monk on Oct 07, 2010 at 12:20 UTC
I don't know if it would be useful for your purposes, but you might be interested in PDL: PDL is the Perl Data Language, a perl extension that is designed for scientific and bulk numeric data processing and display. It extends perl's syntax and includes fully vectorized, multidimensional array handling, plus several paths for device-independent graphics output. PDL is fast, comparable and often outperforming IDL and MATLAB in real world applications. PDL allows large N-dimensional data sets such as large images, spectra, etc to be stored efficiently and manipulated quickly.	[reply]