Folks,
How fast is Julia compared to other languages like R and Python in text
processing?
Any benchmarks?
Any parallel processing facility specifically available for text processing
in Julia?
Thanks,
Venkat.
This may have answers:
https://youtu.be/dgfIIZ5yA4E
(though I haven't watched it yet)
On Tue, 2015-09-01 at 14:42, Venkat Ramakrishnan
wrote:
> Folks,
>
> How fast is Julia compared to other languages like R and Python in text
> processing?
> Any benchmarks?
>
> Any parallel processing facility
Thanks Mauro.
Unfortunately, the video doesn't mention any performance benchmarks
that they considered as compared to other languages, before they selected
Julia. Nor their website mentioned in the video.
Anyone else have clues/pointers to information?
Regards,
Venkat.
On Wednesday, 2 September
It really depends on what you mean by 'text processing' - if the critical
section of your code is essentially a loop that iterates over
characters/words of large strings, then Julia could be between 1 and 2
orders of magnitude faster.
If you mean the performance of core string-processing libra
Dear Jonathan,
That's great to hear that you are actively contributing to Julia's text
processing capabilities.
My use case has all of the text functions that you mentioned, so, thanks
for the info. It looks like the nearest competitor is Python, and Julia's
performance is see-sawing compared to
On Wednesday, September 2, 2015 at 10:27:54 AM UTC-4, Venkat Ramakrishnan
wrote:
>
> My use case has all of the text functions that you mentioned, so, thanks
> for the info. It looks like the nearest competitor is Python, and Julia's
> performance is see-sawing compared to Python in the regexp
On Wednesday, September 2, 2015 at 12:19:33 PM UTC-4, Steven G. Johnson
wrote:
>
> Note that regexps in Julia are implemented with the PCRE library. If you
> google "PCRE vs Python" you'll find several comparisons. The upshot seems
> to be that PCRE is about 2x slower than Python's regex imp
Thanks Steven.
I guess since Julia projects itself as a better-performance language,
it would be worthwhile to post the various performance benchmarks
(text, math ops, i/o, etc) on its web-page on every major release as
compared
to its peer's current versions, if not done already which I am not aw
Most stuff gets done by people who need it. If this is important to you but
doesn't exist, your best bet is to do it yourself and contribute it to the
project. I bet there would be interest in adding your benchmarks somewhere
accessible from the web page.
Best,
--Tim
On Thursday, September 03,
No offense, but, the informal model of 'most stuff gets done by people who
need it'
leads to outdated information in external websites, as Steven had pointed
out. I don't see why
it would be any different if I do it (or) someone else does it in an
external site
and puts the link in the julia webpag
There is a plan going forward to have more automated performance
benchmarking linked to git, especially so that performance improvements (or
regressions) can be quantified as they happen. The hardware has been
ordered, but it will take a while to get this kind of automation up and
running.
Ho
Thanks much for the update Steven. I'll see if I can get
recent data from PCRE.
Thx,
Venkat.
On Fri, Sep 4, 2015 at 8:59 AM, Steven G. Johnson
wrote:
> There is a plan going forward to have more automated performance
> benchmarking linked to git, especially so that performance improvements (or
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