YJIT 帶給 Ruby 大量的效能提昇
source link: https://blog.gslin.org/archives/2021/10/24/10385/yjit-%e5%b8%b6%e7%b5%a6-ruby-%e5%a4%a7%e9%87%8f%e7%9a%84%e6%95%88%e8%83%bd%e6%8f%90%e6%98%87/
Go to the source link to view the article. You can view the picture content, updated content and better typesetting reading experience. If the link is broken, please click the button below to view the snapshot at that time.
YJIT 帶給 Ruby 大量的效能提昇
在 Hacker News 首頁上看到的消息，由 Shopify 贊助的 YJIT 被 Ruby 官方接受了：「Merge YJIT: an in-process JIT compiler (github.com/ruby)」。
YJIT currently provides average speedups of 23% over the CRuby interpreter on realistic benchmarks, and near-instant warm-up time.
實做 YJIT 的 Maxime Chevalier-Boisvert 在他自己的 blog 上有提到這次的實做：「YJIT: Building a New JIT Compiler Inside CRuby」，裡面選擇的方法是他的 PhD 論文：「Simple and Effective Type Check Removal through Lazy Basic Block Versioning」。
可以看到在六月寫文章的時候，改善其實還沒這麼大，而且作者提到有不少可以再提昇的空間：
That being said, according to our benchmarks, we’ve been able to achieve speedups over the CRuby interpreter of 7% on railsbench, 19% on liquid template rendering, and 19% on activerecord.
Currently, only about 50% of instructions in railsbench are executed by YJIT, and the rest run in the interpreter, meaning that there is still a lot we can do to improve upon our current results.
本來的 MJIT 看起來會慢慢淡出...
Related
Webkit 推出 B3 JIT Compiler (Bare Bones Backend)
Webkit 推出了 B3 加快 optimization 的速度，取代原來 LLVM 的工作：「Introducing the B3 JIT Compiler」。 在文章後方 Performance Results 的部份可以看到最主要的差異在啟動時間： 另外也可以看到其他各種 performance benchmark 也幾乎都是小勝 LLVM。 接下來會有 ARM64 與其他平台的計畫： B3 is not yet complete. We still need to finish porting B3 to ARM64. B3 passes all tests, but we haven’t finished optimizing performance on ARM.…
February 16, 2016In "Browser"
Runtime 期間的最佳化工具：Dynimize
忘記在哪邊看到「Reduce MySQL CPU Usage Through Dynamic Binary Optimization」這篇文章了，裡面其實是在描述自家產品 Dynimize 的威猛。 翻了一些資料可以發現這個產品出來一陣子了，在 2018 的時候曾經在 Percona Live 上發表過：「Accelerating MySQL with JIT Compilers」，可以看出來有點像是 PGO (Profile-guided optimization) 的行為，只是他可以直接對 binary 處理。 定價的部份會是這類產品的重點，如果價錢比加硬體貴的話就沒那麼好用了... 在 Dynimize Pricing 這邊可以看到是 per CPU 的價錢，$0.00139/hr、$1/month 或是一次性的 $24，以效能提昇的程度來看，如果在 database 這邊是 CPU bound，是個頗值得投資的項目。
February 9, 2020In "Computer"
InnoDB redo log 大小對效能的影響
在「Benchmark(et)ing with InnoDB redo log size」這邊看到在討論 InnoDB redo log 的大小對效能的影響 (也就是 innodb_log_file_size 與 innodb_log_files_in_group)。 開頭就有先提到重點，在新版 MySQL 裡，幾乎所有的情況比較大的 redo log 有比較好的效能 (平均值)： tl;dr - conclusions specific to my test A larger redo log improves throughput A larger redo log helps more with slower storage than with faster storage because page writeback…
May 15, 2017In "Computer"
Author Gea-Suan LinPosted on October 24, 2021Categories Computer, Murmuring, Programming, SoftwareTags compiler, in, jit, just, mjit, performance, ruby, speed, time, yjit Leave a Reply Cancel reply
Your email address will not be published. Required fields are marked *
Comment
Name *
Email *
Website
Notify me of follow-up comments by email.
Notify me of new posts by email.
Post navigation
Recommend
About Joyk
Aggregate valuable and interesting links.
Joyk means Joy of geeK