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2427 changed files with 31826 additions and 3468 deletions
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@ -1,7 +1,6 @@
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#| Recursive, single-thread, single-pass, quicksort implementation
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multi quicksort(@unsorted where @unsorted.elems < 2) { @unsorted }
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multi quicksort(@unsorted) {
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my $pivot = @unsorted.pick;
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my %class{Order} is default([]) = @unsorted.classify: * cmp $pivot;
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|samewith(%class{Less}), |%class{Same}, |samewith(%class{More})
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#| Recursive, single-thread, random pivot, single-pass, quicksort implementation
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multi quicksort(\a where a.elems < 2) { a }
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multi quicksort(\a, \pivot = a.pick) {
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my %prt{Order} is default([]) = a.classify: * cmp pivot;
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|samewith(%prt{Less}), |%prt{Same}, |samewith(%prt{More})
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}
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@ -1,9 +1,8 @@
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#| 7-Line, recursive, parallel, single-pass, quicksort implementation
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multi seven-line-quicksort-parallel(@unsorted where @unsorted.elems < 2) { @unsorted }
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multi seven-line-quicksort-parallel(@unsorted) {
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my $pivot = @unsorted.pick;
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my %partitions{Order} is default([]) = @unsorted.classify( * cmp $pivot );
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my Promise $less = start { samewith(%partitions{Less}) }
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my $more = samewith(%partitions{More});
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await $less andthen |$less.result, |%partitions{Same}, |$more;
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#| Recursive, parallel, random pivot, single-pass, quicksort implementation
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multi quicksort-parallel-naive(\a where a.elems < 2) { a }
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multi quicksort-parallel-naive(\a, \pivot = a.pick) {
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my %prt{Order} is default([]) = a.classify: * cmp pivot;
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my Promise $less = start { samewith(%prt{Less}) }
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my $more = samewith(%prt{More});
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await $less andthen |$less.result, |%prt{Same}, |$more;
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}
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@ -1,31 +1,22 @@
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constant $BATCH-SIZE = 2**10;
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my atomicint $worker = $*KERNEL.cpu-cores;
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#| Recursive, parallel, tuned, single-pass, quicksort implementation
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proto quicksort-parallel(| --> Positional) {*}
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multi quicksort-parallel(@unsorted where @unsorted.elems < 2) { @unsorted }
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multi quicksort-parallel(@unsorted) {
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# separate unsorted input into Order Less, Same and More compared to a random $pivot
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my $pivot = @unsorted.pick;
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my %partitions{Order} is default([]) = @unsorted.classify( * cmp $pivot );
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#| Recursive, parallel, batch tuned, single-pass, quicksort implementation
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sub quicksort-parallel(@a, $batch = 2**9) {
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return @a if @a.elems < 2;
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# atomically decide if we sort the Less partition on a new thread
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my $less = ⚛$worker > 0 &&
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%partitions{Less}.elems > $BATCH-SIZE
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?? (
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$worker⚛--;
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start {
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LEAVE $worker⚛++;
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samewith(%partitions{Less})
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}
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)
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!! samewith(%partitions{Less});
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# separate unsorted input into Order Less, Same and More compared to a random $pivot
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my $pivot = @a.pick;
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my %prt{Order} is default([]) = @a.classify( * cmp $pivot );
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# decide if we sort the Less partition on a new thread
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my $less = %prt{Less}.elems >= $batch
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?? start { samewith(%prt{Less}, $batch) }
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!! samewith(%prt{Less}, $batch);
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# meanwhile use current thread for sorting the More partition
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my $more = samewith(%partitions{More});
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my $more = samewith(%prt{More}, $batch);
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# if we went parallel, we need to await the result
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await $less andthen $less = $less.result if $less ~~ Promise;
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# concat all sorted partitions into a list and return
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|$less, |%partitions{Same}, |$more;
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|$less, |%prt{Same}, |$more;
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}
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@ -1,17 +1,17 @@
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say "x" x 10 ~ " Testing " ~ "x" x 10;
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use Test;
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my @functions-under-test = &quicksort, &quicksort-parallel-naive, &quicksort-parallel;
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my @testcases =
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() => (),
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<a>.List => <a>.List,
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<a a> => <a a>,
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<a b> => <a b>,
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<b a> => <a b>,
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("b", "a", 3) => (3, "a", "b"),
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<h b a c d f e g> => <a b c d e f g h>,
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(2, 3, 1, 4, 5) => (1, 2, 3, 4, 5),
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<a 🎮 3 z 4 🐧> => <a 🎮 3 z 4 🐧>.sort
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;
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my @implementations = &quicksort, &seven-line-quicksort-parallel, &quicksort-parallel;
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plan @testcases.elems * @implementations.elems;
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for @implementations -> &fun {
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;
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plan @testcases.elems * @functions-under-test.elems;
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for @functions-under-test -> &fun {
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say &fun.name;
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is-deeply &fun(.key), .value, .key ~ " => " ~ .value for @testcases;
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}
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@ -1,9 +1,28 @@
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my $elem-length = 8;
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my @large of Str = ('a'..'z').roll($elem-length).join xx 10 * $worker * $BATCH-SIZE;
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say "x" x 11 ~ " Benchmarking " ~ "x" x 11;
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use Benchmark;
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my $runs = 5;
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my $elems = 10 * Kernel.cpu-cores * 2**10;
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my @unsorted of Str = ('a'..'z').roll(8).join xx $elems;
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my UInt $l-batch = 2**13;
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my UInt $m-batch = 2**11;
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my UInt $s-batch = 2**9;
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my UInt $t-batch = 2**7;
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say "Benchmarking by sorting {@large.elems} strings of size $elem-length - using batches of $BATCH-SIZE strings and $worker workers.";
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my @benchmark = gather for @implementations -> &fun {
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&fun(@large);
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take (&fun.name => now - ENTER now);
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say "elements: $elems, runs: $runs, cpu-cores: {Kernel.cpu-cores}, large/medium/small/tiny-batch: $l-batch/$m-batch/$s-batch/$t-batch";
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my %results = timethese $runs, {
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single-thread => { quicksort(@unsorted) },
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parallel-naive => { quicksort-parallel-naive(@unsorted) },
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parallel-tiny-batch => { quicksort-parallel(@unsorted, $t-batch) },
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parallel-small-batch => { quicksort-parallel(@unsorted, $s-batch) },
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parallel-medium-batch => { quicksort-parallel(@unsorted, $m-batch) },
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parallel-large-batch => { quicksort-parallel(@unsorted, $l-batch) },
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}, :statistics;
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my @metrics = <mean median sd>;
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my $msg-row = "%.4f\t" x @metrics.elems ~ '%s';
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say @metrics.join("\t");
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for %results.kv -> $name, %m {
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say sprintf($msg-row, %m{@metrics}, $name);
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}
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say @benchmark;
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