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ï¼»CEDEC 2016］「デレステã€ã®ã‚°ãƒ©ãƒ•ã‚£ãƒƒã‚¯ã‚¹ã¯å¤šç¨®å¤šæ§˜ãªã‚¹ãƒžãƒ›ã§60fpsã®å®Ÿç¾ã‚’目指ã—ãŸã€‚開発陣ã®ã“ã ã‚ã‚ŠãŒè¦‹ãˆãŸè¬›æ¼”レãƒãƒ¼ãƒˆ - 4Gamer.net
ï¼»CEDEC 2016］「デレステã€ã®ã‚°ãƒ©ãƒ•ã‚£ãƒƒã‚¯ã‚¹ã¯å¤šç¨®å¤šæ§˜ãªã‚¹ãƒžãƒ›ã§60fpsã®å®Ÿç¾ã‚’目指ã—ãŸã€‚開発陣ã®ã“ã ã‚ã‚ŠãŒè¦‹ãˆãŸè¬›æ¼”レãƒãƒ¼ãƒˆ ライター：米田 è¡ CEDEC 2016ã§ã¯ï¼Œã‚¢ã‚¤ãƒ‰ãƒ«ãƒžã‚¹ã‚¿ãƒ¼ã‚·ãƒªãƒ¼ã‚ºã«é–¢ã™ã‚‹ã‚»ãƒƒã‚·ãƒ§ãƒ³ãŒã„ãã¤ã‹è¡Œã‚ã‚ŒãŸã€‚ãƒãƒƒãƒˆé…ä¿¡ãŒè¡Œã‚ã‚ŒãŸã‚‚ã®ãªã©ã¯ï¼Œå¤šãã®ãƒ•ã‚¡ãƒ³ãŒè©¦è´ã—ãŸãã†ã§ï¼Œäººæ°—シリーズらã—ã„関心ã®é«˜ã•ãŒçªºãˆã‚‹ã€‚ 本稿ã§ã¯ã‚·ãƒªãƒ¼ã‚ºé–¢é€£ã‚»ãƒƒã‚·ãƒ§ãƒ³ã‹ã‚‰ï¼Œæœ€çµ‚æ—¥ã®2016å¹´8月26æ—¥ã«è¡Œã‚ã‚ŒãŸã€Œã‚¢ã‚¤ãƒ‰ãƒ«ãƒžã‚¹ã‚¿ãƒ¼ シンデレラガールズ スターライトステージã€ï¼ˆiOS / Android，以下 デレステ）ã®æŠ€è¡“ã«é–¢ã™ã‚‹ã‚»ãƒƒã‚·ãƒ§ãƒ³ã§ã‚る，「アイドルマスターシンデレラガールズ スターライトステージ 制作事例・テクニカル編　− 多種多様ãªã‚¹ãƒžãƒ¼ãƒˆãƒ•ã‚©ãƒ³ã§5人ã®ã‚¢ã‚¤ãƒ‰ãƒ«ãŒèºå‹•ã™ã‚‹ãƒ©ã‚¤ãƒ–ã®èˆžå°è£ （60fpsリズムゲームã®é–‹ç™ºæ‰‹æ³•ï¼‰ −ã€ã®æ¦‚è¦ã‚’レãƒãƒ¼ãƒˆã—よã†ã€‚ タイトルã©ãŠã‚Šï¼Œ
Netflix at Velocity 2015: Linux Performance Tools
There are many performance tools nowadays for Linux, but how do they all fit together, and when do we use them? At Velocity 2015, I gave a 90 minute tutorial on Linux performance tools. I’ve spoken on this topic before, but given a 90 minute time slot I was able to include more methodologies, tools, and live demonstrations, making it the most complete tour of the topic I’ve done. The video and sli
Performance Tuning Garbage Collection in Java
Java Performance Tuning: Garbage Collection Outline This document is a summary or outline of Sun's document: Tuning Garbage collection with the 1.4.2 Hotspot JVM located here: http://java.sun.com/docs/hotspot/gc1.4.2/ (link no longer works) 1.0 Introduction For many applications garbage collection performance is not significant Default collector should be first choice 2.0 Generations Most straight
Linux tuning for PostgreSQL at Secon 2015
Slides from Secon'2015 - Software Developers Conference. Penza, Russia. The database is an essential element of any project. The database must be stable and provide good performance. If you plan to use PostgreSQL in your project, you will run into question the choice of operating system. Linux is one of the most popular operating system today. The combination of flexibility and stability makes Lin
PostgreSQLストリーミングレプリケーション 第4回　ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã§ãƒ‘フォーマンスã¯å‘上ã™ã‚‹ï¼Ÿ | Nedia What's Up!
PostgreSQLストリーミングレプリケーションã€ã„よã„よ最終回ã¨ãªã‚Šã¾ã—ãŸã€‚ å‰å›žã§ã¯å„レプリケーション構æˆä¸‹ã§ã®ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã‚’測定ã—ã¾ã—ãŸãŒã€ä»Šå›žã¯PostgreSQLã®ãƒ‘ラメータãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã«ã‚ˆã£ã¦ã©ã®ç¨‹åº¦ãƒ‘フォーマンスãŒä¸ŠãŒã‚‹ã‹ã‚’検証ã—ã¦ã¿ãŸã„ã¨æ€ã„ã¾ã™ã€‚ # vi /usr/local/pgsql/data/postgresql.conf --------------------------------------------------------------------------------- max_connections = 300 # (change requires restart) shared_buffers = 600MB # min 128kB work_mem = 32MB # min 64kB maintenance_work_mem = 256MB
kernelãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°
linuxサーãƒã®OS全体ã«åŠ¹ãカーãƒãƒ«ãƒ‘ラメータã®ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ç®‡æ‰€ã¨ ãã®è¨å®šå€¤ã€ã¾ãŸãã®ç†ç”±ã‚’ã¾ã¨ã‚ã¦ãŠã。 ã‚ãã¾ã§è‡ªåˆ†ã®ç’°å¢ƒã§ã¯ã“ã†ã—ãŸã€ã¨ã„ã†ã ã‘ã§ã‚り〠æä¾›ã™ã‚‹ã‚µãƒ¼ãƒ“スã”ã¨ã«æ¤œè¨ŽãŒå¿…è¦ã§ã‚る。 ã©ã“ã‚’ã©ã†å¤‰æ›´ã™ã‚‹ã®ã‹ã€ã¾ãŸã¯å¤‰ãˆãªã„ã®ã‹ã€ãã®åˆ¤æ–ææ–™ã«ã¯ãªã‚‹ã ã‚ã†ã€‚ ※ユーザå˜ä½ã§ã‚·ã‚¹ãƒ†ãƒ リソースã«åˆ¶é™ã‚’ã‹ã‘ã‚‹å ´åˆã‚’ã“ã¡ã‚‰ã‚’å‚ç…§ã—ã¦ã»ã—ã„。 以下ã¯/etc/sysctl.conf ã§è¨å®šã™ã‚‹ã‚‚ã®ã¨ã™ã‚‹ã€‚ ◠大è¦æ¨¡ã‚µã‚¤ãƒˆç”¨ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚° kernel.pid_max 動作：pidã®æœ€å¤§æ•° è¨å®šå€¤ï¼š131072 ç†ç”±ï¼špidを枯渇ã•ã›ãªã„ vm.max_map_count 動作：mmapã‚„malloc時ã«ãƒ¡ãƒ¢ãƒªã‚’仮想空間ã«ãƒžãƒƒãƒ”ングã§ãる最大ページ数 è¨å®šå€¤ï¼š300000 ç†ç”±ï¼šãƒžãƒƒãƒ”ングã§ããªããªã‚‹äº‹æ…‹ã‚’防ã net.core.somaxconn 動作：接続(ソケット)ã‚ューã®
PerformanceTechniques - PerformanceTechniques - OpenJDK Wiki
Down for Maintenance on November 08 9:00 PM (Friday) - November 9 2:00 AM (Saturday) PST, (November 9 04:00 AM-9:00 AM GMT, Saturday) Performance techniques used in the Hotspot JVMWhat code shapes does the JVM optimize best? Here is a list.Knowing these optimizations may help language implementors generate bytecodes that run faster. Basic information about bytecodes is in Chapter 7 of the JVM Spec
Tuning Your PostgreSQL Server - PostgreSQL wiki
by Greg Smith, Robert Treat, and Christopher Browne PostgreSQL ships with a basic configuration tuned for wide compatibility rather than performance. Odds are good the default parameters are very undersized for your system. Rather than get dragged into the details of everything you should eventually know (which you can find if you want it at the GUC Three Hour Tour), here we're going to sprint thr
ç¨¼å‹•çµ±è¨ˆæƒ…å ±ã‚’æ´»ç”¨ã—よㆠ| Let's POSTGRES
NTT オープンソースソフトウェアセンタ ç¬ åŽŸ è¾°ä» ç¨¼å‹•çµ±è¨ˆæƒ…å ±ã¨ã¯ã€PostgreSQLãŒç‹¬è‡ªã«åŽé›†ãƒ»è¨˜éŒ²ã—ã¦ã„ã‚‹æƒ…å ±ã§ã™ã€‚性能やDB内ã§èµ·ã“ã£ã¦ã„ã‚‹å•é¡Œãªã©ã‚’把æ¡ã™ã‚‹ä¸Šã§ã€ã¨ã¦ã‚‚é‡è¦ã§ã™ã€‚DBMSã§ã®ç¨¼å‹•çŠ¶æ³ã‚’確èªãƒ»æŠŠæ¡ã™ã‚‹ã®ã«éžå¸¸ã«ä¾¿åˆ©ãªã®ã§ã€ã“ã®æƒ…å ±ã‚’æ´»ç”¨ã—ã€å•é¡Œã®æ—©æœŸç™ºè¦‹ã‚„ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°æ–¹æ³•ã®é¸æŠžã«å½¹ç«‹ã¦ã¾ã—ょã†ã€‚ ç¨¼å‹•çµ±è¨ˆæƒ…å ±ã§åˆ†ã‹ã‚‹ã“ã¨ ç¨¼å‹•çµ±è¨ˆæƒ…å ±ã‚’æ´»ç”¨ã™ã‚‹ã¨ã€DBMSã‚’é‹ç”¨ã™ã‚‹ä¸Šã§ã¨ã¦ã‚‚便利ãªæƒ…å ±ãŒå¾—られã¾ã™ã€‚特ã«æœ‰ç”¨ãªã‚‚ã®ã‚’紹介ã—ã¾ã™ã€‚ãªãŠã€ç¨¼å‹•çµ±è¨ˆæƒ…å ±ã®å†…容ã¯PostgreSQLã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§è‹¥å¹²ç•°ãªã‚Šã€æ–°ã—ã„ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã»ã©å¾—ã‚‰ã‚Œã‚‹æƒ…å ±ãŒå¢—ãˆã¦ã„ã¾ã™ã€‚詳ã—ãã¯ã€Œæœ‰ç”¨ãªæƒ…å ±ã‚’æŒã¤ãƒ†ãƒ¼ãƒ–ル/ビューã€ã‚’見ã¦ãã ã•ã„。 DBå˜ä½ã®ã‚³ãƒŸãƒƒãƒˆæ•°ã‚„ãƒãƒ¼ãƒ«ãƒãƒƒã‚¯æ•° DB毎ã«ã€ãƒˆãƒ©ãƒ³ã‚¶ã‚¯ã‚·ãƒ§ãƒ³ã®ã‚³ãƒŸãƒƒãƒˆå›žæ•°ã‚„ãƒãƒ¼ãƒ«ãƒãƒƒã‚¯å›žæ•°ãŒåˆ†ã‹ã‚Šã¾ã™ã€‚ãã‚Œãžã‚Œã€ã‚¹ãƒ«ãƒ¼ãƒ—ットã¨ã‚¨ãƒ©ãƒ¼ç™ºç”Ÿæ•°ã¨ç½®ãæ›ãˆã‚‹
USE Method: Linux Performance Checklist
The USE Method provides a strategy for performing a complete check of system health, identifying common bottlenecks and errors. For each system resource, metrics for utilization, saturation and errors are identified and checked. Any issues discovered are then investigated using further strategies. This is an example USE-based metric list for Linux operating systems (eg, Ubuntu, CentOS, Fedora). Th
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Optimizing unity games (Google IO 2014)
http://japan.unity3d.com/unite/unite2015/files/DAY2_1030_room1_Kim.pdf
Java Platform, Standard Edition HotSpot Virtual Machine Garbage Collection Tuning Guide, Release 8
https://blogs.oracle.com/taylor22/java-monitoring-and-tuning-example
Performance Tuning Guide | Red Hat Product Documentation
Linux tuning to improve PostgreSQL performance
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pgcookbook/database_server_configuration.md at master · grayhemp/pgcookbook
Linux tuning to improve PostgreSQL performance
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