I recently did a benchmark (admittedly in hindsight not a particularly good 
one) that involved comparison of an implementation of the same small 
program in 
Java<https://github.com/logicchains/ArrayAccessBench/blob/master/Java3.java>and 
in 
Clojure<https://github.com/logicchains/ArrayAccessBench/blob/master/cjmt/src/cjmt/core.clj>,
 
in which most of the time is spent in bignum operations. The results are at 
this 
link<http://togototo.wordpress.com/2014/02/22/memory-access-microbenchmark-clojure-f-go-julia-lua-racket-ruby-self/>(the
 tables at the top; ignore the rest). The Clojure implementation 
appears to consistently perform better than the Java implementation (at 
least on this setup, x86-64 Linux with OpenJDK 1.7.0_25). I'd be interested 
to learn what Clojure does to make it perform faster than Java in this 
case, so I thought here might be a good place to ask.

-- 
You received this message because you are subscribed to the Google
Groups "Clojure" group.
To post to this group, send email to clojure@googlegroups.com
Note that posts from new members are moderated - please be patient with your 
first post.
To unsubscribe from this group, send email to
clojure+unsubscr...@googlegroups.com
For more options, visit this group at
http://groups.google.com/group/clojure?hl=en
--- 
You received this message because you are subscribed to the Google Groups 
"Clojure" group.
To unsubscribe from this group and stop receiving emails from it, send an email 
to clojure+unsubscr...@googlegroups.com.
For more options, visit https://groups.google.com/groups/opt_out.

Reply via email to