PostgreSQL Begins Landing LLVM JIT Support For Faster Performance - Phoronix
PostgreSQL Begins Landing LLVM JIT Support For Faster Performance Written by Michael Larabel in LLVM on 22 March 2018 at 08:19 AM EDT. 23 Comments The widely-used PostgreSQL database software may soon become much faster thanks to a work-in-progress LLVM JIT back-end that has begun to land. A long-running project has been JIT-compiling SQL queries in PostgreSQL by making use of LLVM's just-in-time
VMã«æ‰‹ã‚’åŠ ãˆãšRubyを高速化ã™ã‚‹JITコンパイラ「YARV-MJITã€ã®è©± - k0kubun's blog
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CRubyå‘ã‘ã®LLVMベースã®JITコンパイラを書ã„ã¦ã„る話 - k0kubun's blog
LLRBã¨ã„ã†Rubyå‘ã‘ã®ãƒ¡ã‚½ãƒƒãƒ‰JITコンパイラを書ã„ã¦ã„ã‚‹ github.com RubyKaigi 2015ã®æœ€å¾Œã®ã‚ーノートã§@evanphxãŒã€ŒLLVMã§CRubyã®ã‚³ãƒ¼ãƒ‰ã‚’インライン化ã™ã‚‹ãƒ¡ã‚½ãƒƒãƒ‰JITを実装ã—ãŸã‚‰é€Ÿã„ã‚“ã˜ã‚ƒãã€ã¿ãŸã„ãªç™ºè¡¨ã‚’ã—ã¦ã„ãŸã®ã‚’覚ãˆã¦ã„ã‚‹ã ã‚ã†ã‹ã€‚ LLRBã¨ã„ã†ã®ã¯ã¾ã•ã«ãれを実装ã—ã¦ã„るプãƒã‚¸ã‚§ã‚¯ãƒˆã§ã‚ã‚Šã€å°‘ãªãã¨ã‚‚ç¾æ™‚点ã§ã€ŒLLVMã§CRubyã®ã‚³ãƒ¼ãƒ‰ã‚’インライン化ã™ã‚‹ãƒ¡ã‚½ãƒƒãƒ‰JITã€ã¨è¨€ãˆã‚‹çŠ¶æ…‹ã¾ã§å®Ÿè£…ã§ãã€ã‚‚ã®ã«ã‚ˆã£ã¦ã¯åŠ¹æžœãŒå‡ºã‚‹çŠ¶æ…‹ã«ãªã£ãŸã®ã§å…¬é–‹ã—ãŸã€‚ ãªã‚“ã§æ›¸ã„ã¦ã‚‹ã® 言語を自分ã§å®Ÿè£…ã™ã‚‹ã¨ãã®è¨€èªžã«é–¢ã™ã‚‹ç†è§£ãŒå¤§åˆ†æ·±ã¾ã‚‹ã€ã¨ã„ã†ã®ã‚’Hamlã®å®Ÿè£…ã¨ã‹Cコンパイラã¨ã‹ã§ä½“験ã—ã¦ã„ã¦ã€åƒ•ãŒä¸€ç•ªå¥½ããªè¨€èªžã¯Rubyãªã®ã§Rubyã§ã‚‚ãれをやã£ã¦ãŠããŸã„ã€ã¨ã„ã†ã®ãŒã‚ã£ãŸã€‚ã¾ãŸã€Rubyã¯é…ã„ã¨è¨€ã‚ã‚ŒãŒã¡ã ãŒã€ã©ã“ã«æ”¹å–„å¯èƒ½ãªç‚¹ãŒçœ ã£ã¦ã„ã‚‹
Auto-Vectorization in LLVM — LLVM 20.0.0git documentation
Auto-Vectorization in LLVM¶ LLVM has two vectorizers: The Loop Vectorizer, which operates on Loops, and the SLP Vectorizer. These vectorizers focus on different optimization opportunities and use different techniques. The SLP vectorizer merges multiple scalars that are found in the code into vectors while the Loop Vectorizer widens instructions in loops to operate on multiple consecutive iteration
Make a Compiler Frontend using C++ and LLVM
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Go言語ã§åˆ©ç”¨ã™ã‚‹LLVM入門 | POSTD
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[Phoronix] LLVM/Clang 3.3 Should Be Close To Building Linux Kernel LLVMLinux Bug 9254 – clang can't build iptables in Linux kernel: error: fields must have a constant size: 'variable length array in structure' extension will never be supported Clangã§Linuxカーãƒãƒ«ã‚’ビルドã§ãる状æ³ã¯ã€å¤šãã®å‹¢åŠ›ã«æœ›ã¾ã‚Œã¦ããŸã€‚ç†ç”±ã¯æ§˜ã€…ã 。Clangã¯ãƒ“ルド時間ãŒçŸã„。é™çš„解æžã«ã‚ˆã‚‹è¦å‘Šã‚‚優れã¦ã„る。ソースコードも綺麗ã 。複数ã®ç‹¬ç«‹ã—ãŸå®Ÿè£…ã§ã‚³ãƒ³ãƒ‘イルã§ãるコードã¯ã€èª¤ã‚Šã‚’é™çš„ã«ç™ºè¦‹ã—ã‚„ã™ã„移æ¤æ€§ã«ã‚‚優れる。より優れãŸã‚³ãƒ”ーレフトãªãƒ©ã‚¤ã‚»ãƒ³ã‚¹ã§ã‚ã‚‹GPLv
lawk - an awk compiler for the llvm
Introduction lawk is a jit compiler for awk that targets the llvm (http://www.llvm.org). It was born as a way of experimenting with the llvm infrastructure in a setup more complex than the tutorials. As such, its main purpose is didactic and I do not forsee it becoming a real alternative to the already available implementations of awk. Its foundation lies in GNU awk. State A significant part of aw
LLVM meets GPU again! - Qiita
ã“ã®è¨˜äº‹ã¯GPGPU Advent Calendarã®8日目ã®è¨˜äº‹ã§ã™ã€‚ LLVM meets GPU again! CUDA4.1以é™ã®nvccã¯ã€Compute Capability 2.0以上ã®ã‚³ãƒ¼ãƒ‰ã‚’生æˆã™ã‚‹éš›ã«LLVM IRã®ã‚µãƒ–セットã§ã‚ã‚‹NVVMを経由ã—ã¦æœ€é©åŒ–ç‰ã‚’è¡Œã£ã¦ã‹ã‚‰ã€NVIDIAã®è¦å®šã™ã‚‹ä¸é–“表ç¾ã§ã‚ã‚‹PTXã¸ã®å¤‰æ›ã‚’è¡Œãªã£ã¦ã„ã¾ã™ã€‚今年ã«å…¥ã£ã¦ã“ã®æˆæžœãŒLLVM本家ã«ãƒžãƒ¼ã‚¸ã•ã‚Œã€ãƒãƒ¼ã‚¸ãƒ§ãƒ³3.2ã§æ£å¼ã«ãŠç›®è¦‹ãˆã™ã‚‹ã“ã¨ã«ãªã‚Šã¾ã—ãŸã€‚LLVM 3.2ã®æ£å¼ãƒªãƒªãƒ¼ã‚¹ã¯2012/12/16ã¨ä¸€é€±é–“ã»ã©å…ˆã«äºˆå®šã•ã‚Œã¦ã„ã¾ã™ãŒã€ãƒªãƒã‚¸ãƒˆãƒªã«ã¯ã™ã§ã«3.2用ã®ãƒ–ランãƒãŒåˆ‡ã‚‰ã‚Œã¦ã„ã¾ã™ã€‚今回ã¯ä¸€è¶³å…ˆã«LLVM 3.2を使用ã—ã¦ã€LLVM IRã‹ã‚‰PTXを生æˆã—ã¦ã¿ã¾ã—ょã†ï¼ æ´å²çš„ãªçµŒç·¯ 今回LLVMã«ãƒžãƒ¼ã‚¸ã•ã‚ŒãŸNVIDIAã®å®Ÿè£…ã—ãŸPTXãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰ã¯NVPTXã¨å‘¼ã°ã‚Œã¦ã„
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内容紹介本書ã¯è¶£å‘³ã§LLVMを触ã£ã¦ã„る著者二人ã®LLVMã‚’ã‚‚ã£ã¨æ™®åŠã•ã›ã¦ã„ããŸã„ã¨æ€ã„ã‹ã‚‰ç”Ÿã¾ã‚ŒãŸLLVM解説本ã§ã™ã€‚ LLVMã¯ä»Šéžå¸¸ã«æ³¨ç›®ã•ã‚Œã¦ã„ã¾ã™ãŒã€åº¦é‡ãªã‚‹API仕様ã®å¤‰æ›´ã‚„å…¬å¼ãƒ‰ã‚ュメントã®å……実ã•ãªã©ãŒç†ç”±ã§ã€ã¾ã¨ã¾ã£ãŸè§£èª¬ãŒãªã•ã‚ŒãŸã‚‚ã®ã¯ã‚ã‚Šã¾ã›ã‚“ã§ã—ãŸã€‚本書ã«ã‚ˆã‚Šã¾ã¨ã¾ã£ãŸæƒ…å ±ãŒæ—¥æœ¬èªžã§æ‰‹ã«å…¥ã‚‹ã‚ˆã†ã«ãªã‚Šã€å¤šãã®æ–¹ã«LLVMを知ã£ã¦é ‚ã‘ã‚‹ã¨å¹¸ã„ã§ã™ã€‚ 本書ã§ã¯LLVMを使用ã—ãŸã‚³ãƒ³ãƒ‘イラã®ä½œã‚Šæ–¹ã‚’é †ã‚’è¿½ã£ã¦èª¬æ˜Žã—LLVMã¸ã®ç†è§£ã‚’æ·±ã‚ã¦ã‚‚らãŠã†ã¨ã„ã†ã®ãŒã‚³ãƒ³ã‚»ãƒ—トã«ãªã£ã¦ã„ã¾ã™ã€‚フãƒãƒ³ãƒˆã‚¨ãƒ³ãƒ‰(ä¸é–“表ç¾å‡ºåŠ›ã¾ã§)ã€ãƒŸãƒ‰ãƒ«ã‚¨ãƒ³ãƒ‰(最é©åŒ–)ã€ãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰(オブジェクト生æˆ)ã¨å¹…広ã解説ã—ã¦ã„ã¾ã™ã®ã§å¤šãã®æ–¹ã«æœ‰ç”¨ãªå†…容をå«ã‚“ã§ã„ã‚‹ã®ã§ã¯ãªã„ã§ã—ょã†ã‹ã€‚ LLVMã®ç”¨é€”ã¯å¤šå²ã«ã‚ãŸã‚Šï¼Œæœ¬æ›¸ã§ã¯è§£èª¬ã§ãã¦ã„ãªã„部分もã‚ã‚Šã¾ã™ãŒï¼Œåˆå¿ƒè€…å‘ã‘ã®æƒ…å ±ã¨ã—ã¦LLVMを利用ã™ã‚‹ãŸã‚ã®åŸºç¤Ž
🛠LLDB
The LLDB Debugger# Welcome to the LLDB documentation! LLDB is a next generation, high-performance debugger. It is built as a set of reusable components which highly leverage existing libraries in the larger LLVM Project, such as the Clang expression parser and LLVM disassembler. LLDB is the default debugger in Xcode on macOS and supports debugging C, Objective-C and C++ on the desktop and iOS devi
CUDA LLVM Compiler
NVIDIA's CUDA Compiler (NVCC) is based on the widely used LLVM open source compiler infrastructure. Developers can create or extend programming languages with support for GPU acceleration using the NVIDIA Compiler SDK. Add GPU Acceleration To Your Language You can add support for GPU acceleration to a new or existing language by creating a language-specific frontend that compiles your language to
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LLVM-Based JIT Compiler for CRuby
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