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Go vs GCCGO vs Java vs Python vs PyPy for naive factorisation
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GCCGo / Go slow "big" package discussion from some time ago | |
Back at that point, Go's 6g compiler had an implementation of the big package with assembler implementations that hadn't been ported to GCCGo. | |
https://groups.google.com/forum/?fromgroups=#!searchin/golang-nuts/Is$20Go$20%22big%22$20package$20slow?$20is$20Go$20slow?/golang-nuts/ChpHRdGU8ks/gyhBjheZmSEJ | |
Neither Java, PyPy, CPython, Go or GCCGo use GMP | |
CPython and PyPy can "cheat" on small integers as they use normal ints until big integers are required. | |
To make the comparison only over bigints, I've ensured all integers are > 64 bits. | |
smerity@pegasus:~/Coding/goxercise$ time go run factors.go | |
496968652506233122158689 | |
real 0m3.503s | |
user 0m3.516s | |
sys 0m0.056s | |
smerity@pegasus:~/Coding/goxercise$ gccgo -O3 factors.go && time ./a.out | |
496968652506233122158689 | |
real 0m8.453s | |
user 0m8.421s | |
sys 0m0.004s | |
smerity@pegasus:~/Coding/goxercise$ time python factors.py | |
496968652506233122158689 | |
real 0m1.899s | |
user 0m1.880s | |
sys 0m0.012s | |
smerity@pegasus:~/Coding/goxercise$ time ~/Coding/Reference/pypy-2.0-beta1/bin/pypy factors.py | |
496968652506233122158689 | |
real 0m1.169s | |
user 0m1.148s | |
sys 0m0.016s | |
smerity@pegasus:~/Coding/goxercise$ time java Factors | |
496968652506233122158689 | |
real 0m1.614s | |
user 0m1.656s | |
sys 0m0.092s |
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package main | |
import ( | |
"fmt" | |
"math/big" | |
) | |
func main() { | |
// 157 bit n = pq with p ~= 78 bits | |
n := big.NewInt(0) | |
n.SetString("273966616513101251352941655302036077733021013991", 10) | |
i := big.NewInt(0) | |
// Set i to be p - 10e6 | |
i.SetString("496968652506233112158689", 10) | |
// Move temp big int out here so no possible GC thrashing | |
temp := big.NewInt(0) | |
// Avoid creating the new bigint each time | |
two := big.NewInt(2) | |
for { | |
// Check if the odd number is a divisor of n | |
temp.Mod(n, i) | |
if temp.Sign() == 0 { | |
fmt.Println(i) | |
break | |
} | |
i.Add(i, two) | |
} | |
} |
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import java.math.BigInteger; | |
class Factors { | |
public static void main (String [] args) | |
{ | |
// 157 bit n = pq with p ~= 78 bits | |
BigInteger n = new BigInteger("273966616513101251352941655302036077733021013991"); | |
// Set i to be p - 10e6 | |
BigInteger i = new BigInteger("496968652506233112158689"); | |
// Avoid creating a new bigint each time | |
BigInteger two = new BigInteger("2"); | |
while (true) { | |
if (n.mod(i).equals(BigInteger.ZERO)) { | |
System.out.println(i); | |
break; | |
} | |
i = i.add(two); | |
} | |
} | |
} |
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# 157 bit n = pq with p ~= 78 bits | |
n = 273966616513101251352941655302036077733021013991 | |
i = 496968652506233112158689 # prime minus 10e6 | |
while True: | |
if n % i == 0: | |
print i | |
break | |
i += 2 |
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Typical scenario for a Java program is when already warm after boot up and code already JIT compiled. Using Linux time program to calculate the period from the cold boot is not a real world scenario because JVM needs some time during initialization I mean before executing the code. You better add a time measurement code withing each example to bypass the effects of cold boot.