Benchmarking a Go AI in Ruby: CRuby vs. Rubinius vs. JRuby vs. Truffle – a year later
Thoughts on different Ruby implementations Let’s wrap this up with a couple of thoughts on the different implementations: TruffleRuby TruffleRuby is making steady and great progress, which I’m thoroughly impressed with. To be honest, I was wondering if its performance increased since the last benchmark as I was worried that implementing new Ruby features would lead to decreased performance. Seeing
Server-side Rendering Shootout with Marko, Preact, Rax, React and Vue
Last week Alibaba announced a React-like library called Rax. Rax is a more lightweight implementation of the React renderer and it’s “universalâ€. It can run in Node.js, in the browser, and on top of Weex (which is pretty cool). One of the things that Rax is touting is its server rendering performance. It’s prominently featured in their README and it initially showed that they were rendering at abo
Goã§ä¸¦åˆ—実行ã®ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã‚’å–ã‚‹ãŸã‚ã®ãƒ©ã‚¤ãƒ–ラリ parallel-benchmark を書ã„㟠- 酒日記 ã¯ã¦ãªæ”¯åº—
ä»¥å‰ Perl ã§ã€forkã—ã¦ä¸¦åˆ—実行ã™ã‚‹ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã‚’å–ã‚‹ãŸã‚ã®ãƒ©ã‚¤ãƒ–ラリã€Parallel::Benchmark ã¨ã„ã†ã®ã‚’書ãã¾ã—ãŸã€‚ Parallel::Benchmark ã¨ã„ã†ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã‚’書ãã¾ã—㟠- 酒日記 ã¯ã¦ãªæ”¯åº— ã“れを使ã†ã¨ã€å˜ã« Perl コードã®ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã ã‘ã§ã¯ãªãã€ä¸¦åˆ—ã«å¤–部ã«ã‚¢ã‚¯ã‚»ã‚¹ã—ã¦è¨ˆæ¸¬ã‚’è¡Œã†ã‚ˆã†ãª (ãŸã¨ãˆã°ApacheBenchã®ã‚ˆã†ãª) ベンãƒãƒžãƒ¼ã‚¯ãƒ„ールãŒç°¡å˜ã«ä½œã‚Œã‚‹ã®ã§é‡å®ã—ã¦ã„ã¾ã™ã€‚(仕事ã§ã¯ã€ã‚½ãƒ¼ã‚·ãƒ£ãƒ«ã‚²ãƒ¼ãƒ ã®ã‚µãƒ¼ãƒã‚¢ãƒ—リケーションã«å¯¾ã™ã‚‹è² è·ãƒ†ã‚¹ãƒˆã‚’è¡Œã†ãŸã‚ã«ä½¿ã£ãŸã‚Šã‚‚ã—ã¦ã„ã¾ã™) ã§ã€æ€ã„ç«‹ã£ã¦ Go 版を書ãã¾ã—ãŸã€‚ kayac/parallel-benchmark · GitHub 使用例 フィボナッãƒæ•°ã‚’求ã‚るコードを並列実行ã™ã‚‹ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ fib(30) ã‚’1回計算ã™ã‚‹ã”ã¨ã«ã‚¹ã‚³ã‚¢1ã¨ã™ã‚‹ 10個㮠goroutine
Locust.io
An open source load testing tool. Define user behaviour with Python code, and swarm your system with millions of simultaneous users. Tweet Follow @locustio Define user behaviour in code No need for clunky UIs or bloated XML. Just plain code. Distributed & Scalable Locust supports running load tests distributed over multiple machines, and can therefore be used to simulate millions of simultaneous u
[perl] Perlã§åŒã˜ã‚³ãƒ¼ãƒ‰ã‚’é•ã†ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã®ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã§ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã™ã‚‹ - 酒日記 ã¯ã¦ãªæ”¯åº—
複数ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã®ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã§åŒã˜ã‚³ãƒ¼ãƒ‰ã‚’実行ã—ã¦Benchmark.pmã§è¨ˆæ¸¬ã—ãŸã„ã€ã¨ã„ã†ã‚±ãƒ¼ã‚¹ã«ã“ã†æ›¸ã‘ã°ã„ã„ã‹ãªã€ã¨ã„ã†ä¾‹ã€‚ 普通ã«Benchmark.pmを使ã£ã¦ã—ã¾ã†ã¨åŒä¸€ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã‚’é•ã†ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§è¤‡æ•°èªã¿è¾¼ã‚€ã“ã¨ãŒã§ããªã„ãŸã‚〠ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã”ã¨ã«åプãƒã‚»ã‚¹ã‚’ fork åプãƒã‚»ã‚¹ã§ use lib ã—㦠@INC ã‚’è¿½åŠ ã—ã¦ã‹ã‚‰ use 計測ã—ãŸçµæžœã‚’ファイルã«ä¿å˜ã—ã¦è¦ªãƒ—ãƒã‚»ã‚¹ã§é›†ç´„ã€è¡¨ç¤º ã¨ã„ã†æµã‚Œã§æ›¸ãã¾ã™ã€‚ use strict; use Benchmark qw/ :all /; use File::Temp qw/ tempfile /; use Storable qw/ nstore retrieve /; # 計測ã—ãŸã„コード my $code = sub { my $c = Cache::Redis->new; for ( 1 .. 10 ) { $c->s
![[perl] Perlã§åŒã˜ã‚³ãƒ¼ãƒ‰ã‚’é•ã†ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã®ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã§ãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã™ã‚‹ - 酒日記 ã¯ã¦ãªæ”¯åº—](https://cdn-ak-scissors.b.st-hatena.com/image/square/18a75d74b47961305b5194a9fbcd37c3c63bb37f/backend=imagemagick;height=288;version=1;width=512/https%3A%2F%2Fogimage.blog.st-hatena.com%2F13208692334729889028%2F8454420450078126085%2F1419604085)
1
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
TechEmpower Framework Benchmarks
{{#tags}}- {{label}}
{{/tags}}