April 2023
Intermediate to advanced
452 pages
7h 21m
Japanese
Content preview from ハイパフォーマンスPython 第2版
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9章multiprocessingモジュール
9章を読めば以下の問いに答えられるようになる
multiprocessingモジュールは何を提供するのか？- プロセスとスレッドの違いは何か？
- プロセスプールの適切な選択方法は？
- プロセスを実行するための非永続型キュー（待ち行列）の使い方は？
- プロセス間通信の得失は何か？
- 複数のCPUを使って
NumPyのデータを処理する方法は？ - Joblibを使って、並列化されキャッシュされた科学的な計算を簡単にする方法は？
- データの欠損を回避するためにロックする必要があるのはなぜか？
デフォルトのCPythonは複数のCPUを使いません。その理由は、Pythonがシングルコアの時代に設計されたためでもあり、並列処理を効率的に実行するのがとても難しいためでもあります。複数のCPUを使うためのツールがありますが、どれを選ぶのかはユーザーしだいです。長時間実行するプロセスにおいて、マルチコアCPUのうちたった1つのコアしか活用できないのはもったいないので、本章では同時に複数のコアを使う方法を説明します。
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| 上記はふだん使っているPythonの実装であるCPythonについての話です。Pythonの仕様には、マルチコアの利用を妨げるものはありません。CPythonの実装はマルチコアを効率的に活用できませんが、将来的にはできるようになるかもしれません。 |
現在はマルチコアの時代です。ノートPCでも4コアはあたりまえで、デスクトップでは32コアも利用できます。それほど手間をかけずにマルチコアのCPU用にジョブを分割できるのなら、そのような方向性で考えるのが得策です。 ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.