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								<p>Since in day 13 I saw a huge performance overhead of streams in a tight long loop with simple inner steps, here I immediately decided to roll a plain recursion. It takes about 3 seconds for each part on my machine. <a href="https://gist.github.com/sasa1977/2e9f0d59741db9eae26a4f11b2c7773d" rel="noopener nofollow ugc">Here</a>’s my solution.</p> 
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	                  <a title="Go to post" alt="Go to post" href="https://forum.elixirforum.com/t/advent-of-code-2017/10526/62">Post #61</a>
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								<p>Your way definitively works better than mine, I guess it is related to constantly wrapping the function call into a closure and passing it around.</p>
<p>I tested your code on my office VM and with my input and they run in 6/4 seconds respectively. Thats a gain of factor 2/1.5.</p>
<p>All I did to get times for each part, was to slightly alter the runners:</p>
<pre data-code-wrap="ex"><code class="lang-ex">args = System.argv() |&gt; Enum.map(&amp;String.to_integer)
:timer.tc(Day15, :part1, args) |&gt; IO.puts
:timer.tc(Day15, :part2, args) |&gt; IO.puts
</code></pre> 
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								<p>Here is my solution to day 15. I’m curios what you all think about the “dispatch pattern” I’m using here, is it fine or am I flirting to much with OO?</p>
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								<p>Looks like you have reinvented protocols.</p> 
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								<p>Ah of course, yes it works like a protocol <img src="https://forum.elixirforum.com/images/emoji/apple/slight_smile.png?v=15" title=":slight_smile:" class="emoji" alt=":slight_smile:" loading="lazy" width="20" height="20"> thanks!</p> 
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								<p>Here’s <a href="https://github.com/pcorey/advent_of_code_2017/blob/master/15/15.exs" rel="noopener nofollow ugc">my day 15 solution</a>. At first, I was doing a wonky little endian + padding bitstring pattern match:</p>
<pre data-code-wrap="elixir"><code class="lang-elixir">padding = &lt;&lt;0x00, 0x00&gt;&gt;
&lt;&lt;a :: 16, _ :: binary&gt;&gt; = :binary.encode_unsigned(a, :little) &lt;&gt; padding
&lt;&lt;b :: 16, _ :: binary&gt;&gt; = :binary.encode_unsigned(b, :little) &lt;&gt; padding
a == b
</code></pre>
<p>But I quickly realized that was just a poor man’s bitmask, and replaced it accordingly:</p>
<pre data-code-wrap="elixir"><code class="lang-elixir">(a &amp;&amp;&amp; 0xFFFF) == (b &amp;&amp;&amp; 0xFFFF)
</code></pre>
<p><img src="https://forum.elixirforum.com/images/emoji/apple/upside_down_face.png?v=15" title=":upside_down_face:" class="emoji only-emoji" alt=":upside_down_face:" loading="lazy" width="20" height="20"></p>
<p>I feel like there’s some clever solution based on the significance of <a href="https://en.wikipedia.org/wiki/2,147,483,647" rel="noopener nofollow ugc">the mod number he chose</a>, but I’m not clever enough to figure it out.</p> 
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<img alt="" width="24" height="24" src="https://forum.elixirforum.com/user_avatar/forum.elixirforum.com/nobbz/48/27235_2.png" class="avatar"> NobbZ:</div>
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<p>I guess it is related to constantly wrapping the function call into a closure and passing it around.</p>
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<p>There is certainly more “stuff” happening with Streams compared to plain recursion. As you say, there is the closure indirection, and also there’s constant wrapping into and unwrapping out of <code>:suspended</code> tuples, and there’s manual iteration through all the composed functions. See <a href="https://github.com/elixir-lang/elixir/blob/v1.5.2/lib/elixir/lib/stream.ex#L1408" rel="noopener nofollow ugc">Enumerabl impl for Stream</a> for details.</p>
<p>My guess is that when the actual work in each iteration is fairly simple and short, the running time gets significantly dominated by the stream overhead. Two days ago, compared to my streaming approach, <a href="https://forum.elixirforum.com/t/advent-of-code-2017/10526/51" rel="nofollow">the recursive solution by @mitja</a> reduced the running time by the factor of 20 <img src="https://forum.elixirforum.com/images/emoji/apple/smiley.png?v=15" title=":smiley:" class="emoji" alt=":smiley:" loading="lazy" width="20" height="20"></p>
<p>TBH, I didn’t use streams a lot in real work, so I decided to practice them through AoC. I really like how they are highly composable, and how I get the stable memory usage just like with recursion. I think I’ll be using streams much more in the future.</p>
<p>That said, in the code which is highly CPU bound and performance critical, the penalty of streams can become too high, and falling back to plain-old recursion can help significantly.</p> 
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<p>There is certainly more “stuff” happening with Streams compared to plain recursion</p>
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<p>I wasn’t talking about streams here, but about my generator approach which takes about twice as long as your solution and there aren’t much differences between our code.</p> 
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								<p>Day 16…</p>
<p>Wow… That wasn’t expected… Part 1 was done pretty quickly, part 2 suffers from a massive performance problem… When I reduce the number of iterations to <code>1_000</code>, I need ~20 seconds, and I’m not really fund of the idea to adjust the timeout… If its linear, I need to set it to roughly <strong>232 days</strong>…</p>
<p>As I already have experimented with NIFs using <code>:rustler</code> for day 10/14 combo, I think I will use a NIF here as well, I really can’t come up with an idea to improve the performance by the factor ~500_000 otherwise…</p> 
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								<p>I went down the completely wrong path for part 2 of day 16, but ultimately found a way to get the result in 5 seconds. My solution is <a href="https://gist.github.com/sasa1977/5f59e07c9624c279144fc93eb7004fd2" rel="noopener nofollow ugc">here</a>.</p> 
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