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fadis_'s profile
Fadis
Fadis
Fadis
@fadis_

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Fadis

@fadis_

組み込みから*NIXシステム、HPCまで、計算機をこよなく愛するゲームプログラマ。C++を関数型言語と間違えているタイプのC++er。遺伝的FM音源とかの人。 丼:@fadis@mstdn.jp 欲しい物リスト:http://amzn.to/Mzt8F0 

大阪
github.com/Fadis/
Joined July 2010

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    1. Fadis‏ @fadis_ 9 Feb 2018
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      クイックソートは教科書的に実装すると最初のうちは少数のスタックに対して値を積んでいく作業になる為、超並列アーキテクチャではこのスタックの先頭を奪い合ってスケールしない事が知られている。だからそうしたアーキテクチャではマージソートや(メモリが潤沢な場合は)基数ソートがよく用いられる

      1 reply 60 retweets 177 likes
    2. 長尾正‏ @zanjibar 9 Feb 2018
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      Replying to @fadis_ @enakai00

      データが生成するたびに、ソートしておけば、すごく早いのでは。最初からソートされたデータをソートする(ソートしないですむ)より早くソート不可能

      1 reply 0 retweets 0 likes
    3. Fadis‏ @fadis_ 9 Feb 2018
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      Replying to @zanjibar @enakai00

      その方法の場合新しいデータの挿入位置は前に挿入されたデータに依存する為、挿入は直列化を余儀なくされスケーラビリティが損なわれます

      1 reply 0 retweets 0 likes
    4. 長尾正‏ @zanjibar 9 Feb 2018
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      Replying to @fadis_ @enakai00

      履歴データの場合には合理的な気がします。アドレス(インデックス)を物理的なアドレスに対応するように整数化するとかなりつかえます。富士通はこの方式で、購入履歴データを整理して、年間2000億ぐらい節約しているそうです。

      1 reply 0 retweets 0 likes
    5. Fadis‏ @fadis_ 9 Feb 2018
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      Replying to @zanjibar @enakai00

      いわゆるバケットソートですね。確かにバケットソートは計算量とスケーラビリティの双方で優れている為、それが可能な条件を満たしている場合積極的に選ぶべきアルゴリズムだと思います。

      1 reply 0 retweets 0 likes
    6. 長尾正‏ @zanjibar 9 Feb 2018
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      Replying to @fadis_ @enakai00

      はい、適した用途の場合は、効果があります。年間2000億円節約はすごいと思うのですが、あまり大したことないと思われるのでしょうか? コメントがなかったので気になりました。

      1 reply 0 retweets 0 likes
      Fadis‏ @fadis_ 9 Feb 2018
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      Replying to @zanjibar @enakai00

      応用して結果を出したという点では凄い事だと思うんですが、バケットソートは基数ソートの特殊なケースで、その方法でスケーラビリティを維持しようというのはGPUを使った高速化まわりの話では定番の手法といった感じです。

      8:28 PM - 9 Feb 2018
      1 reply 0 retweets 0 likes
        1. 長尾正‏ @zanjibar 9 Feb 2018
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          Replying to @fadis_ @enakai00

          メモリアドレス(物理アドレス)を使うのがポイントでした。原理的には小学生でも考えつきます。定番というより、もっと素朴です。

          0 replies 0 retweets 0 likes
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