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Can we see the source of Lua version ?


2013/2/6 Dimiter 'malkia' Stanev <malkia@gmail.com>
Have you tried this against luajit?

http://luajit.org


On 2/5/2013 3:25 PM, John D. Ramsdell wrote:
I came across the sources to an implementation of Datalog I wrote in
OCaml and placed them on GitHub at
<https://github.com/ramsdell/ocaml-datalog>.  The algorithm is
identical to the one I wrote in Lua, in fact, the OCaml version
preceded the Lua version.  I used a test suite created by Simon
Cruanes and compared the elapse time and the max resident memory size
of the two programs.  Lua was a bit slower and used more memory.  Not
unexpected I suppose.

John

---------------------------------------------------------

        Lua vs. OCaml Datalog Performance

        Elapsed Time    Max Resident

induction 200
Lua     0.25 Sec        3916 KB
OCaml   0.03 Sec        3884 KB

induction 500
Lua     1.42 Sec        8328 KB
OCaml   0.20 Sec        4800 KB

induction 1000
Lua     5.65 Sec        14440 KB
OCaml   0.77 Sec        6808 KB

induction 1500
Lua     14.26 Sec       20668 KB
OCaml   1.16 Sec        8844 KB

reachable 200
Lua     1.05 Sec        40316 KB
OCaml   0.25 Sec        15608 KB

reachable 500
Lua     7.14 Sec        229216 KB
OCaml   3.37 Sec        81852 KB

reachable 1000
Lua     40.16 Sec       972408 KB
OCaml   25.36 Sec       323516 KB

reachable 1500
Lua     97.66 Sec       2169556 KB
OCaml   61.68 Sec       681012 KB
---------------------------------------------------------
#! /bin/sh

# Compares the performance of Datalog in Lua and Datalog in OCaml

# Based on a test suite by Simon Cruanes <https://github.com/c-cube>

# Be sure to make OCaml Datalog with "make native-code"

# Location of Datalog in Lua
DATALOG=${1:-datalog}

# Sizes of test cases
TESTS="200 500 1000 1500"

# Time format
export TIME="\t%e Sec\t%M KB"

# INDUCTION TEST

# Generate a recursive induction example of given size; it makes rules
# p(n+1) if p(n),q(n+1)
# and
# q(n+1) if p(n), q(n)
# for n ranging in [0...size], and adds facts p(0) and q(0)

induction() {
     local n=${1:-10}
     echo '% Problem size: '$n
     for ((i=0; i<$n; i++))
     do
        let j=$i+1
        echo 'p('$j') :- p('$i'), q('$j').'
        echo 'q('$j') :- p('$i'), q('$i').'
     done
     echo 'p(0).'
     echo 'q(0).'
     echo 'p(X)?'
}

# REACHABLE TEST

# Generate a graph example of given size. It produces a cyclic graph
# with vertices in [0...size-1] and edges from i to i+1 mod size. The
# single rule computes a transitive closure of the graph, the
# predicate reachable() describes a clique of size size.

reachable() {
     local n=${1:-10}
     echo '% Problem size: '$n
     echo 'reachable(X,Y) :- edge(X,Y).'
     echo 'reachable(X,Y) :- edge(X,Z), reachable(Z,Y).'
     for ((i=0; i<$n; i++))
     do
        let j=$i+1
        echo 'edge('$i', '$j').'
     done
     echo 'edge('$n', 0).'
     echo 'reachable(X,Y)?'
}

printf "\tLua vs. OCaml Datalog Performance\n\n"
printf "\tElapsed Time\tMax Resident\n"

for i in ${TESTS}
do
     echo
     echo induction $i
     echo -n Lua
     induction $i | /usr/bin/time $DATALOG -o /dev/null
     echo -n OCaml
     induction $i | /usr/bin/time ./datalog -o /dev/null
done

for i in ${TESTS}
do
     echo
     echo reachable $i
     echo -n Lua
     reachable $i | /usr/bin/time $DATALOG -o /dev/null
     echo -n OCaml
     reachable $i | /usr/bin/time ./datalog -o /dev/null
done