add simple loop bench
fiddled with run numbers a bit recording times with noop removed results slightly worse than hoped
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@ -1,5 +1,3 @@
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#include<stdio.h>
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int fibo(int n){
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int result;
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int a = 0;
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@ -17,10 +15,10 @@ int fibo(int n){
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int main(void)
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{
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int counter = 100000;
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int counter = 50000;
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int fib ;
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while(counter) {
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fib += fibo(20);
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fib = fibo(40);
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counter -= 1;
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}
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}
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@ -10,7 +10,7 @@ int fibo_r(int n)
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int main(void)
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{
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int counter = 1000;
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int counter = 100;
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int fib ;
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while(counter--) {
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fib += fibo_r(20);
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@ -3,7 +3,7 @@
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int main(void)
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{
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setbuf(stdout, NULL); /* to make it equivalent to the other versions, otherwise it caches */
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int counter = 100000;
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int counter = 10000;
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while(counter--) {
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printf("Hello there\n");
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}
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7
test/bench/c/loop.c
Normal file
7
test/bench/c/loop.c
Normal file
@ -0,0 +1,7 @@
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int main(void)
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{
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int counter = 1000000;
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while(counter) {
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counter -= 1;
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}
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}
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@ -18,8 +18,10 @@ func fibo(n int ) int {
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func main() {
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sum := 1
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for sum < 100000 {
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res := 0
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for sum < 50000 {
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sum += 1
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fibo( 20 )
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res = fibo( 40 )
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}
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res += 1
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}
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@ -10,7 +10,7 @@ func fib(n uint) uint {
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func main() {
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sum := 1
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for sum < 1000 {
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for sum < 100 {
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sum += 1
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fib( 20 )
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}
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@ -4,7 +4,7 @@ import "fmt"
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func main() {
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sum := 1
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for sum < 100000 {
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for sum < 10000 {
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sum += 1
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fmt.Println("Hi there")
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}
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@ -2,7 +2,7 @@ package main
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func main() {
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sum := 1
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for sum < 100000 {
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for sum < 1000000 {
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sum += 1
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}
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}
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@ -1,11 +1,13 @@
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# Benchmarks
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hello - output hello world to measure kernel calls
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add - run integer adds by linear fibonacci of 20
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add - run integer adds by linear fibonacci of 40
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call - exercise calling by recursive fibonacci of 20
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noop - a baseline that does nothing
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loop - just counts down, from 1M
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Hello and add run 100k times, calls 1k, to minimize startup impact.
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Loop, Hello, add and call run 1M , 50k, 10k and 100 respectively,
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to minimize startup impact.
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C was linked statically as dynamic linked influences times.
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Output was sent to /dev/null, so as to measure the calling and not the terminal.
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@ -14,16 +16,15 @@ Also output was unbuffered, because that is what rubyx implements.
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# Results
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Results were measured by a ruby script. Mean and variance was measured until variance was low,
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always under one percent. Noop showed that program startup is a factor, so all programs loop
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to 100k.
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always under one percent. Noop showed that program startup is a factor, so all programs loop from 10 to 50k.
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The machine was a virtual arm (qemu) run on a acer swift 5 (i5 8265 3.9GHz), performance roughly equivalent to a raspberry pi.
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Results (in ms) should be seen as relative, not absolute.
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language | noop | hello | add | call
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c | 45 | 3480 | 150 | 1400
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go | 53 | 4000 | 64 | 740
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rubyx | 43 | 1560 | 1800 | 16500
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ruby | 1570 | 8240 | 2290 | 17800
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mruby | 86 | 11210 | 1580 | 26500
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language | noop | hello | add | call | loop
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c | 55 | 380 | 88 | 135 | 6
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go | 52 | 450 | 9 | 77 | 2
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rubyx | 42 | 200 | 1700 | 1700 | 480
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ruby | 1570 | 650 | 1090 | 1500 | 180
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mruby | 86 | 1200 | 1370 | 2700 | 300
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@ -11,9 +11,9 @@ def fibo( n)
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return result
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end
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counter = 100000
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counter = 50000
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while(counter > 0) do
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fibo(20)
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fibo(40)
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counter -= 1
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end
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@ -1,8 +1,8 @@
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counter = 100000;
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counter = 10000;
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while(counter > 0) do
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puts "Hello there"
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# roughly 4 times slower with this, which is like rubyx
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#STDOUT.flush
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STDOUT.flush
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counter = counter - 1
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end
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@ -1,5 +1,5 @@
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counter = 100000
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counter = 1000000
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while(counter > 0) do
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counter = counter - 1
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counter -= 1
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end
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@ -14,12 +14,12 @@ class Space
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return result
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end
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# ran with --parfait=40000
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# ran with --parfait=80000
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def main(arg)
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b = 1000
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while( b >= 1 )
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b = b - 1
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fibo_i(20)
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fibo_i(40)
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end
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return b
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end
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@ -5,8 +5,8 @@ class Space
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return n
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end
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a = fibo_r(n - 1)
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d = fibo_r(n - 2)
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return a + d
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b = fibo_r(n - 2)
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return a + b
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end
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# ran with --parfait=70000
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@ -1,6 +1,5 @@
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class Space
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# ran with --parfait=25000
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# time - noop * 10 + noop
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def main(arg)
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b = 10000
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while( b >= 1 )
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11
test/bench/rubyx/loop.rb
Normal file
11
test/bench/rubyx/loop.rb
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class Space
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# ran with --parfait=101000
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def main(arg)
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b = 100000
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while( b >= 1 )
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b = b - 1
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end
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return b
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end
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end
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@ -17,7 +17,7 @@ class Stats
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def show
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#puts "no per var"
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puts "#{@n} #{@mean} #{@variance / @n}"
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puts "#{@n} #{(@mean*1000).truncate(1)} #{((@variance / @n)*100).truncate(2)}"
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end
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end
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class Runner
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