Without good design, good algorithms, and complete understanding of the program's operation, your carefully optimized code will amount to one of mankind's least fruitful creations - a fast slow program.
Don't diddle code to make it faster -- find a better algorithm
In High Performance Game of Life, I chose a very simple design, storing all live cells in a single set. Though pleasing for its simplicity and unboundedness, its drawback is that counting live neighbours becomes a hash lookup, a chronic performance bottleneck. What to do?
Rather than spending more time optimizing my original design -- thus creating a "fast slow program" -- I researched the domain, learning of many different ways to do it. From the many possible approaches, I chose the simplest one I could find that looked interesting and enjoyable, and implemented it in pure Perl.
To try to keep my initial attempt short and understandable, I started with a simplified version based on the the brilliant works of Adam P. Goucher (apg), tiling the universe with 64 x 64 tiles in a conventional way, each tile having eight neighbours. Note that this was chosen for simplicity; more efficient schemes are available, such as the "brick wall" tiling used by Goucher in later versions. For background on the concept of breaking the game of life universe into overlapping tiles, see this description of Life128 and vlife.
My code is loosely based on apgnano (version 2) but advances one tick at a time (rather than two at a time, as apg did) and does not attempt to use universe history. Fair warning though. Despite striving to keep the code simple and short, it's way more complex than my original, Organism.pm swelling from 66 lines of code to 414.
Benchmark Results
I've updated the benchmark results given in my original node. As you can see, even this simplified version, with no attempts made at code optimization, is already an order of magnitude faster than the optimized version of the original.
Version | 375K cells | 750K cells | 1.5 million cells | 3 million cells |
---|---|---|---|---|
new Organism.pm (see below) | 1 secs | 1 secs | 3 secs | 5 secs |
Organism.pm (Mario improvements) | 13 secs | 26 secs | 52 secs | 108 secs |
Organism.pm (Original) | 35 secs | 70 secs | 141 secs | 284 secs |
Game::Life::Infinite:Board | 37 secs | 96 secs | 273 secs | 905 secs |
As for memory use, the maximum Windows Private Bytes used for the three million cell case by each process was:
- New Organism.pm (see below): 700,000K - 1,100,000K (update: seems to vary)
- Organism.pm (Original): 1,455,004K
- Organism.pm (Mario improvements): 1,596,368K
- Game::Life::Infinite:Board: 18,138,504K
Benchmark timings running AppleFritter's Lidka test for 30,000 ticks were:
Version | Lidka 30,000 ticks |
---|---|
new Organism.pm (see below) | 58 secs |
Organism.pm (Mario improvements) | 450 secs |
Organism.pm (Original) | 1635 secs |
Game::Life::Infinite:Board | 640 secs |
Update
- The latest and best Perl implementation: Re^2: More Betterer Game of Life
- The latest and best C++ implementation: Re^2: More Betterer Game of Life
- See also: Re^2: What's Perl good at or better than Python (Game of Life, LLiL, Rosetta and Performance References) (summary of GOL benchmarks, both Perl and C++)
Improving My Initial Attempt
There is certainly plenty of scope for improving my initial attempt. After all, I have not attempted any optimizations at all, just tried to implement ideas from apg's C++/assembler programs in a pure Perl form in a simple and clear way. While all feedback is welcome, I'm especially eager to see:
- Refactorings that make the Perl code shorter, clearer, more idiomatic.
- Performance optimizations.
- Explanations of (and alternatives to) the bit-twiddling code below, specifically the bit operations in st64_tiletick() below I find especially hard to follow.
- Bug fixes. I was shocked when my code worked the second time I ran it - just one coding blunder was corrected before my new Organism.pm passed tgol.t, tgol2.t, tgol3.t and the 30,000 lidka test! So I suspect there may be more bugs lurking in this brand new implementation.
New Organism.pm
Finally, here is my new and improved Organism.pm (update: the latest and best Organism.pm can be found here):
package Organism; use strict; # Note: for this module, perl must be built with 64-bit integers # use Config; # $Config{ivsize} < 8 and die "perl ivsize=$Config{ivsize} is too smal +l"; # ---------------------------------------------------------------- # The Universe is modelled as a set of overlapping tiles. # For background, see http://conwaylife.com/wiki/Life128_and_vlife # We use a simple scheme of 64 x 64 tiles (60 x 60 core) with # conventional tiling (each tile has eight neighbours). # Note that this was chosen for simplicity; more efficient schemes # are available, such as the "brick wall" tiling used by Goucher # in later versions (apgmera, version 3) # # This code is loosely based on apgnano (version 2) but advances # one tick at a time (rather than advancing two at a time) # and does not attempt to use universe history. # This was to keep the implementation short. # # ---------------------------------------------------------------- # SQUARE TILE my $BORDER_WIDTH = 2; my $BORDER_WIDTH_P1 = $BORDER_WIDTH + 1; my $TILE_SIZE_FULL = 64; my $TILE_SIZE_FULL_M1 = $TILE_SIZE_FULL - 1; my $TILE_SIZE_FULL_MB = $TILE_SIZE_FULL - $BORDER_WIDTH; my $TILE_SIZE_CORE = $TILE_SIZE_FULL - 2 * $BORDER_WIDTH; my $TILE_SIZE_CORE_P1 = $TILE_SIZE_CORE + 1; my $MIDDLE60 = 0x3ffffffffffffffc; my $LEFT62 = 0xfffffffffffffffc; my $RIGHT62 = 0x3fffffffffffffff; my $OUTER4 = 0xc000000000000003; my $LEFTMIDDLE = 0x3000000000000000; my $RIGHTMIDDLE = 0x000000000000000c; # Neighbours are numbered clockwise starting with the one directly abo +ve my $NUM_NEIGH = 8; my $NEIGH_TOP = 0; my $NEIGH_TOP_RIGHT = 1; my $NEIGH_RIGHT = 2; my $NEIGH_BOTTOM_RIGHT = 3; my $NEIGH_BOTTOM = 4; my $NEIGH_BOTTOM_LEFT = 5; my $NEIGH_LEFT = 6; my $NEIGH_TOP_LEFT = 7; # Note that the i ^ 4 trick sets i to the opposite one, that is: # 0 > 4 (TOP > BOTTOM) # 1 > 5 (TOP RIGHT > BOTTOM LEFT) # 2 > 6 (RIGHT > LEFT) # 3 > 7 (BOTTOM RIGHT > TOP LEFT) # 4 > 0 (BOTTOM > TOP) # 5 > 1 (BOTTOM LEFT > TOP RIGHT) # 6 > 2 (LEFT > RIGHT) # 7 > 3 (TOP LEFT > BOTTOM RIGHT) # The functions starting with st64_ manipulate # a simple 64 x 64 square tile bitmap. # Note that x and y must be in 0..63 range. # $row is a ref to an array of 64 unsigned 64-bit ints. # The value in row[] bitmap is 0 (dead) or 1 (alive). sub st64_getcellval { my ($row, $x, $y) = @_; my $mk = 1 << (63 - $x); return $row->[$y] & $mk ? 1 : 0; } sub st64_setcellval { my ($row, $x, $y, $v) = @_; my $mk = 1 << (63 - $x); if ($v) { $row->[$y] |= $mk; } else { $row->[$y] &= ~$mk; } } sub st64_insertcells { my $row = shift; for my $r (@_) { st64_setcellval($row, $r->[0], $r->[1], 1) } } # Used for verification and unit testing of st64_tiletick sub st64_getlivecells { my $row = shift; my @cells; for my $y (0 .. 63) { next unless $row->[$y]; for my $x (0 .. 63) { st64_getcellval($row, $x, $y) and push @cells, [ $x, $y ]; } } sort { $a->[0] <=> $b->[0] || $a->[1] <=> $b->[1] } @cells; } # Advance the interior of square tile by one tick. # Return a two element list: # [0] : 1 if square tile changed, else 0. # [1] : neighbour flags (see NEIGH flags above) # indicates which neighbours need to be updated sub st64_tiletick { my $row = shift; my $neigh = 0; my $bigdiff = 0; my @carry = (0) x 64; my @parity = (0) x 64; my @diff = (0) x 64; my ( $aa, $bb, $p, $q, $r, $s, $bit0, $bit1, $bit2 ); my $top = 0; my $bottom = $TILE_SIZE_FULL_M1; while ($top < $TILE_SIZE_FULL_M1 && $row->[$top] == 0) { ++$top } while ($bottom > 0 && $row->[$bottom] == 0) { --$bottom } if ($top > $bottom) { return ( 0, $neigh ) } for my $i ($top .. $bottom) { $aa = $row->[$i] >> 1; $bb = $row->[$i] << 1; $q = $aa ^ $bb; $parity[$i] = $q ^ $row->[$i]; $carry[$i] = ($q & $row->[$i]) | ($aa & $bb); } --$top; ++$bottom; if ($top < 1) { $top = 1 } if ($bottom > $TILE_SIZE_FULL_MB) { $bottom = $TILE_SIZE_FULL_MB } for my $i ($top .. $bottom) { $aa = $parity[$i-1]; $bb = $parity[$i+1]; $q = $aa ^ $bb; $bit0 = $q ^ $parity[$i]; $r = ($q & $parity[$i]) | ($aa & $bb); $aa = $carry[$i-1]; $bb = $carry[$i+1]; $q = $aa ^ $bb; $p = $q ^ $carry[$i]; $s = ($q & $carry[$i]) | ($aa & $bb); $bit1 = $p ^ $r; $bit2 = $s ^ ($p & $r); $p = ($bit0 & $bit1 & ~$bit2) | ($bit2 & ~$bit1 & ~$bit0 & $row- +>[$i]); $diff[$i] = ($row->[$i] ^ $p) & $MIDDLE60; $bigdiff |= $diff[$i]; $row->[$i] = ($p & $MIDDLE60) | ($row->[$i] & ~$MIDDLE60); } $aa = $diff[$BORDER_WIDTH] | $diff[$BORDER_WIDTH_P1]; $bb = $diff[$TILE_SIZE_CORE] | $diff[$TILE_SIZE_CORE_P1]; if ($bigdiff) { if ($bigdiff & $LEFTMIDDLE) { $neigh |= 1 << $NEIGH_LEFT } if ($bigdiff & $RIGHTMIDDLE) { $neigh |= 1 << $NEIGH_RIGHT } } if ($aa) { $neigh |= 1 << $NEIGH_TOP; if ($aa & $LEFTMIDDLE) { $neigh |= 1 << $NEIGH_TOP_LEFT } if ($aa & $RIGHTMIDDLE) { $neigh |= 1 << $NEIGH_TOP_RIGHT } } if ($bb) { $neigh |= 1 << $NEIGH_BOTTOM; if ($bb & $LEFTMIDDLE) { $neigh |= 1 << $NEIGH_BOTTOM_LEFT } if ($bb & $RIGHTMIDDLE) { $neigh |= 1 << $NEIGH_BOTTOM_RIGHT } } my $changed = ($bigdiff != 0) ? 1 : 0; return ( $changed, $neigh ); } # Population count (https://en.wikipedia.org/wiki/Hamming_weight) # See also GCC built-in: __builtin_popcount sub popcount { my $x = shift; my $count; for ($count = 0; $x; ++$count) { $x &= $x - 1 } return $count; } # ---------------------------------------------------------------- # ORGANISM sub count { my $self = shift; my $tiles = $self->{Tiles}; my $cnt = 0; for my $k (keys %{$tiles}) { my $row = $tiles->{$k}->{Row}; for my $y ($BORDER_WIDTH .. $TILE_SIZE_CORE_P1) { next unless $row->[$y]; $cnt += popcount($row->[$y] & $MIDDLE60); } } return $cnt; } # Input a list of [ x, y ] coords sub insert_cells { my $self = shift; for my $r (@_) { $self->setcell($r->[0], $r->[1], 1) } } # Used for verification and testing the state of the organism sub get_live_cells { my $self = shift; my $tiles = $self->{Tiles}; my @cells; for my $k (keys %{$tiles}) { my $sqt = $tiles->{$k}; for my $y ($BORDER_WIDTH .. $TILE_SIZE_CORE_P1) { next unless $sqt->{Row}->[$y]; for my $x ($BORDER_WIDTH .. $TILE_SIZE_CORE_P1) { if (st64_getcellval($sqt->{Row}, $x, $y)) { push @cells, [$TILE_SIZE_CORE * $sqt->{Tx} + $x - $BORDER_WIDTH, $TILE_SIZE_CORE * $sqt->{Ty} + $y - $BORDER_WIDTH]; } } } } sort { $a->[0] <=> $b->[0] || $a->[1] <=> $b->[1] } @cells; } sub get_neighbour { my $self = shift; my $sqt = shift; my $i = shift; unless ($sqt->{Neighbours}->[$i]) { my $x = $sqt->{Tx}; my $y = $sqt->{Ty}; if ($i >= $NEIGH_TOP_RIGHT && $i <= $NEIGH_BOTTOM_RIGHT) { ++ +$x } if ($i >= $NEIGH_BOTTOM_RIGHT && $i <= $NEIGH_BOTTOM_LEFT) { ++ +$y } if ($i >= $NEIGH_BOTTOM_LEFT && $i <= $NEIGH_TOP_LEFT) { -- +$x } if ($i == $NEIGH_TOP_LEFT || $i <= $NEIGH_TOP_RIGHT) { -- +$y } my $tiles = $self->{Tiles}; my $k = pack 'i2', $x, $y; unless (exists $tiles->{$k}) { $tiles->{$k} = { Row => [ (0) x 64 ], Tx => $x, Ty => $y, Updateflags => 0, Neighbours => [], }; } $sqt->{Neighbours}->[$i] = $tiles->{$k}; $sqt->{Neighbours}->[$i]->{Tx} = $x; $sqt->{Neighbours}->[$i]->{Ty} = $y; } return $sqt->{Neighbours}->[$i]; } # Alert the neighbour that its neighbour (the original tile) has chang +ed sub update_neighbour { my $self = shift; my $sqt = shift; my $i = shift; if ($self->get_neighbour($sqt, $i)->{Updateflags} == 0) { push @{$self->{Modified}}, $self->get_neighbour($sqt, $i); } $self->get_neighbour($sqt, $i)->{Updateflags} |= 1 << ($i ^ 4); } # Update the relevant portions of the boundary (a 64-by-64 square # with the central 60-by-60 square removed) by copying data from # the interiors (the 60-by-60 central squares) of the neighbours. # Only perform this copying when necessary. sub update_boundary { my $self = shift; my $sqt = shift; my $temp_modified = $self->{TempModified}; if ( $sqt->{Updateflags} & (1 << $NEIGH_TOP) ) { my $n = $self->get_neighbour($sqt, $NEIGH_TOP); $sqt->{Row}->[0] = ($n->{Row}->[$TILE_SIZE_CORE] & $MIDDLE60) | +($sqt->{Row}->[0] & $OUTER4); $sqt->{Row}->[1] = ($n->{Row}->[$TILE_SIZE_CORE_P1] & $MIDDLE60) + | ($sqt->{Row}->[1] & $OUTER4); } if ( $sqt->{Updateflags} & (1 << $NEIGH_TOP_LEFT) ) { my $n = $self->get_neighbour($sqt, $NEIGH_TOP_LEFT); $sqt->{Row}->[0] = (($n->{Row}->[$TILE_SIZE_CORE] & $MIDDLE60) < +< $TILE_SIZE_CORE) | ($sqt->{Row}->[0] & $RIGHT62); $sqt->{Row}->[1] = (($n->{Row}->[$TILE_SIZE_CORE_P1] & $MIDDLE60 +) << $TILE_SIZE_CORE) | ($sqt->{Row}->[1] & $RIGHT62); } if ( $sqt->{Updateflags} & (1 << $NEIGH_TOP_RIGHT) ) { my $n = $self->get_neighbour($sqt, $NEIGH_TOP_RIGHT); $sqt->{Row}->[0] = (($n->{Row}->[$TILE_SIZE_CORE] & $MIDDLE60) > +> $TILE_SIZE_CORE) | ($sqt->{Row}->[0] & $LEFT62); $sqt->{Row}->[1] = (($n->{Row}->[$TILE_SIZE_CORE_P1] & $MIDDLE60 +) >> $TILE_SIZE_CORE) | ($sqt->{Row}->[1] & $LEFT62); } if ( $sqt->{Updateflags} & (1 << $NEIGH_BOTTOM) ) { my $n = $self->get_neighbour($sqt, $NEIGH_BOTTOM); $sqt->{Row}->[$TILE_SIZE_FULL_MB] = ($n->{Row}->[$BORDER_WIDTH] +& $MIDDLE60) | ($sqt->{Row}->[$TILE_SIZE_FULL_MB] & $OUTER4); $sqt->{Row}->[$TILE_SIZE_FULL_M1] = ($n->{Row}->[3] & $MIDDLE60) + | ($sqt->{Row}->[$TILE_SIZE_FULL_M1] & $OUTER4); } if ( $sqt->{Updateflags} & (1 << $NEIGH_BOTTOM_LEFT) ) { my $n = $self->get_neighbour($sqt, $NEIGH_BOTTOM_LEFT); $sqt->{Row}->[$TILE_SIZE_FULL_MB] = (($n->{Row}->[$BORDER_WIDTH] + & $MIDDLE60) << $TILE_SIZE_CORE) | ($sqt->{Row}->[$TILE_SIZE_FULL_MB +] & $RIGHT62); $sqt->{Row}->[$TILE_SIZE_FULL_M1] = (($n->{Row}->[3] & $MIDDLE60 +) << $TILE_SIZE_CORE) | ($sqt->{Row}->[$TILE_SIZE_FULL_M1] & $RIGHT62 +); } if ( $sqt->{Updateflags} & (1 << $NEIGH_BOTTOM_RIGHT) ) { my $n = $self->get_neighbour($sqt, $NEIGH_BOTTOM_RIGHT); $sqt->{Row}->[$TILE_SIZE_FULL_MB] = (($n->{Row}->[$BORDER_WIDTH] + & $MIDDLE60) >> $TILE_SIZE_CORE) | ($sqt->{Row}->[$TILE_SIZE_FULL_MB +] & $LEFT62); $sqt->{Row}->[$TILE_SIZE_FULL_M1] = (($n->{Row}->[3] & $MIDDLE60 +) >> $TILE_SIZE_CORE) | ($sqt->{Row}->[$TILE_SIZE_FULL_M1] & $LEFT62) +; } if ( $sqt->{Updateflags} & (1 << $NEIGH_LEFT) ) { my $n = $self->get_neighbour($sqt, $NEIGH_LEFT); for my $i ($BORDER_WIDTH .. $TILE_SIZE_FULL_MB - 1) { $sqt->{Row}->[$i] = (($n->{Row}->[$i] & $MIDDLE60) << $TILE_S +IZE_CORE) | ($sqt->{Row}->[$i] & $RIGHT62); } } if ( $sqt->{Updateflags} & (1 << $NEIGH_RIGHT) ) { my $n = $self->get_neighbour($sqt, $NEIGH_RIGHT); for my $i ($BORDER_WIDTH .. $TILE_SIZE_FULL_MB - 1) { $sqt->{Row}->[$i] = (($n->{Row}->[$i] & $MIDDLE60) >> $TILE_S +IZE_CORE) | ($sqt->{Row}->[$i] & $LEFT62); } } $sqt->{Updateflags} = 0; push @{$temp_modified}, $sqt; } # Advance the interior of the tile by one generation. sub update_tile { my $self = shift; my $modified = $self->{Modified}; my $sqt = shift; my ($update_flag, $neigh) = st64_tiletick($sqt->{Row}); if ($update_flag) { if ($sqt->{Updateflags} == 0) { push @{$modified}, $sqt } $sqt->{Updateflags} |= 1 << $NUM_NEIGH; } for my $i (0 .. $NUM_NEIGH - 1) { if ($neigh & (1 << $i)) { $self->update_neighbour($sqt, $i) } } } sub tick { my $self = shift; my $modified = $self->{Modified}; my $temp_modified = $self->{TempModified}; while (@{$modified}) { $self->update_boundary(pop @{$modified}); } while (@{$temp_modified}) { $self->update_tile(pop @{$temp_modified}); } } sub updatecell { my $self = shift; my $sqt = shift; my $x = shift; my $y = shift; if ($sqt->{Updateflags} == 0) { push @{$self->{Modified}}, $sqt } $sqt->{Updateflags} |= 1 << $NUM_NEIGH; if ($y <= $BORDER_WIDTH_P1) { $self->update_neighbour($sqt, $NEIGH_ +TOP) } if ($y >= $TILE_SIZE_CORE) { $self->update_neighbour($sqt, $NEIGH_B +OTTOM) } if ($x <= $BORDER_WIDTH_P1) { $self->update_neighbour($sqt, $NEIGH_LEFT); if ($y <= $BORDER_WIDTH_P1) { $self->update_neighbour($sqt, $NEI +GH_TOP_LEFT) } if ($y >= $TILE_SIZE_CORE) { $self->update_neighbour($sqt, $NEIG +H_BOTTOM_LEFT) } } if ($x >= $TILE_SIZE_CORE) { $self->update_neighbour($sqt, $NEIGH_RIGHT); if ($y <= $BORDER_WIDTH_P1) { $self->update_neighbour($sqt, $NEI +GH_TOP_RIGHT) } if ($y >= $TILE_SIZE_CORE) { $self->update_neighbour($sqt, $NEIG +H_BOTTOM_RIGHT) } } } sub setcell { my $self = shift; my $x = shift; my $y = shift; my $state = shift; my $tiles = $self->{Tiles}; my $ox = $x % $TILE_SIZE_CORE; my $oy = $y % $TILE_SIZE_CORE; if ($ox < 0) { $ox += $TILE_SIZE_CORE } if ($oy < 0) { $oy += $TILE_SIZE_CORE } my $tx = ($x - $ox) / $TILE_SIZE_CORE; my $ty = ($y - $oy) / $TILE_SIZE_CORE; my $k = pack 'i2', $tx, $ty; unless (exists $tiles->{$k}) { $tiles->{$k} = { Row => [ (0) x 64 ], Tx => $tx, Ty => $ty, Updateflags => 0, Neighbours => [], }; } my $xx = $ox + $BORDER_WIDTH; my $yy = $oy + $BORDER_WIDTH; st64_setcellval($tiles->{$k}->{Row}, $xx, $yy, $state); $self->updatecell($tiles->{$k}, $xx, $yy); } sub getcellval { my $self = shift; my $x = shift; my $y = shift; my $tiles = $self->{Tiles}; my $ox = $x % $TILE_SIZE_CORE; my $oy = $y % $TILE_SIZE_CORE; if ($ox < 0) { $ox += $TILE_SIZE_CORE } if ($oy < 0) { $oy += $TILE_SIZE_CORE } my $tx = ($x - $ox) / $TILE_SIZE_CORE; my $ty = ($y - $oy) / $TILE_SIZE_CORE; my $k = pack 'i2', $tx, $ty; exists $tiles->{$k} or return 0; return st64_getcellval( $tiles->{$k}->{Row}, $ox + $BORDER_WIDTH, $oy + $BORDER_WIDTH ); } sub new { my $class = shift; my %init_self = ( Tiles => {}, Modified => [], TempModified => [] ) +; bless \%init_self, $class; } 1;
Note that this new implementation passes all the same tests (tgol.t, tgol2.t, tgol3.t) described in High Performance Game of Life.
References
- Conway's Game of Life (wikipedia)
- HashLife algorithm (wikipedia)
- conwaylife.com
- Life 1.06 format
- golly
- apgnano (initial Life128 release from Adam P. Goucher (apg))
- apgmera (later vlife release from apg)
- lifelib (new lifelib release from apg)
- lifelib (lifewiki: description of lifelib)
- apgsearch (lifewiki: description of apgsearch)
- apgcode (lifewiki: description of apgcode)
- qlifealgo.h
- LifeAPI
- Lidka
- Methuselah
- Description of vlife and Life128 algorithms
- Discussion of Life128 algorithm
- Graphics Programming Black Book by Michael Abrash (discusses how to write fast code)
- Bit array (wikipedia)
- Hamming weight (wikipedia, aka popcount)
- How to do popcount (aka Hamming weight) in Perl (popcount References)
- Bitwise operators on binary objects
- Bitwise operation (wikipedia)
- Hacker's Delight book by Henry S. Warren Jr
- Add two integers using bitwise operators (stack overflow)
- Adder (electronics) (see full-adder and half-adder)
- Logic gate (wikipedia)
- Truth table (wikipedia)
- Boolean function (wikipedia)
- Four bit adder (Rosetta code)
- How to simulate 4-bit binary adder in C? (Stack Overflow)
- Full adder using C pre-processor
- perlnumber
- Integer Arithmetic (use integer)
Updated: Added more references.
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Re: More Betterer Game of Life
by AppleFritter (Vicar) on Sep 20, 2017 at 10:22 UTC | |
by eyepopslikeamosquito (Archbishop) on Sep 21, 2017 at 21:21 UTC | |
by AppleFritter (Vicar) on Sep 25, 2017 at 11:23 UTC | |
Re: More Betterer Game of Life
by eyepopslikeamosquito (Archbishop) on Sep 22, 2017 at 22:55 UTC | |
by eyepopslikeamosquito (Archbishop) on Sep 23, 2017 at 09:59 UTC | |
by marioroy (Prior) on Sep 24, 2017 at 07:18 UTC | |
by AppleFritter (Vicar) on Sep 25, 2017 at 11:18 UTC | |
by eyepopslikeamosquito (Archbishop) on Sep 26, 2017 at 09:15 UTC | |
Re: More Betterer Game of Life
by AppleFritter (Vicar) on Jun 22, 2018 at 14:20 UTC |