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Tag Archives: LLVM

Erlang on LLVM? or: Outsource your JIT!

Sunday, August 24, 2008

Has anyone been working on using [LLVM][1] to do just-in-time code generation for the [Erlang][2] virtual machine? Depending on the design and structure of the Erlang virtual machine, it doesn’t seem like it would be all that tough a project. And it could provide a nice performance boost for those projects that are starting to […]

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LLVM terminology

Friday, July 18, 2008

I thought the proper terminology was worth pointing out, since I’ve seen — and heard — some misuses lately. * **[LLVM][1]** is the Low-Level Virtual Machine and the project surrounding it. * **[LLVM-GCC][2]** is a compiler that uses GCC for its front-end and LLVM for its back-end. * **[Clang][3]** is the C language family front-end […]

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Build LLVM and clang!

Saturday, April 26, 2008

I’ve talked about the LLVM Compiler Infrastructure in the past, but what I haven’t talked about yet is just how easy and quickly you can build it on your own Mac running Leopard! This is a great way to get into hacking on compiler lexical analyzers and parsers, code generators, optimizers, and so on. What’s […]

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Jon Harrop dives into OCaml on LLVM

Tuesday, November 27, 2007

As seen on the LLVMdev mailing list: Jon Harrop, Fibonacci example in OCaml: Here is a complete 104-line native code compiler for a tiny subset of OCaml that is expressive enough to compile an external Fibonacci program: […] The compiler is itself written in OCaml, of course; for those who don’t know, OCaml or Objective […]

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LLVM Developers’ Meeting 2007-05

Monday, July 16, 2007

The LLVM Compiler Infrastructure is a great technology that came out of the computer science research community and can be used to develop extensible compiler platforms. Among other things, it provides a platform-independent assembly and object code (the “low level virtual machine” that its name is taken from), and a great object-oriented compilation, linking, optimization […]

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It’s not the dynamic dispatch!

Tuesday, September 12, 2006

Joel has decided to blame the use of dynamic dispatch for Ruby’s speed issues: Without knowing much about the implementation of Ruby, I would guess that the biggest issue is around late binding and especially duck typing, which prevents type inference or strong typing, which means that function calls will always be slow because you […]

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