[Rcpp-devel] R vectorisation vs. C++ vectorisation
Dirk Eddelbuettel
edd at debian.org
Mon Nov 19 16:56:36 CET 2012
On 19 November 2012 at 09:31, Hadley Wickham wrote:
| Hi all,
|
| Inspired by "Rcpp is smoking fast for agent-based models in data
| frames" (http://www.babelgraph.org/wp/?p=358), I've been doing some
[ I liked that post, but we got flak afterwards as his example was not well
chosen. The illustration of the language speed difference does of course
hold. ]
| exploration of vectorisation in R vs C++ at
| https://gist.github.com/4111256
|
| I have five versions of the basic vaccinate function:
|
| * vacc1: vectorisation in R with a for loop
| * vacc2: used vectorised R primitives
| * vacc3: vectorised with loop in C++
| * vacc4: vectorised with Rcpp sugar
| * vacc5: vectorised with Rcpp sugar, explicitly labelled as containing
| no missing values
|
| And the timings I get are as follows:
|
| Unit: microseconds
| expr min lq median uq max neval
| vacc1(age, female, ily) 6816.8 7139.4 7285.7 7823.9 10055.5 100
| vacc2(age, female, ily) 194.5 202.6 212.6 227.9 260.4 100
| vacc3(age, female, ily) 21.8 22.4 23.4 24.9 35.5 100
| vacc4(age, female, ily) 36.2 38.7 41.3 44.5 55.6 100
| vacc5(age, female, ily) 29.3 31.3 34.0 36.4 52.1 100
|
| Unsurprisingly the R loop (vacc1) is very slow, and proper
| vectorisation speeds it up immensely. Interestingly, however, the C++
| loop still does considerably better (about 10x faster) - I'm not sure
| exactly why this is the case, but I suspect it may be because it
| avoids the many intermediate vectors that R requires. The sugar
| version is about half as fast, but this gets quite a bit faster with
| explicit no missing flags.
|
| I'd love any feedback on my code (https://gist.github.com/4111256) -
| please let me know if I've missed anything obvious.
I don't have a problem with sugar being a little slower that hand-rolling.
The code is so much simpler and shorter. And we're still way faster than
vectorised R. I like that place.
Somewhat off-topic/on-topic: I am still puzzled by how the Julia guys now
revert back from vectorised code to hand-written loops because llvm does
better on those. Speed is good, but concise code with speed is better in my
book.
Hence I would prefer to invoke the 80/20 rule as I think we have better
targets to chase than to narrow that gap. But that's just my $0.02...
If you can't sleep til both version have 20-some microsend medians then by
all means go crazy ;-)
Dirk
--
Dirk Eddelbuettel | edd at debian.org | http://dirk.eddelbuettel.com
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