英特尔实验室Haskell研究编译器

Hai Liu, Neal Glew, Leaf Petersen, T. A. Anderson
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引用次数: 13

摘要

格拉斯哥Haskell编译器(GHC)是一个为Haskell编程语言提供良好支持的优化编译器,以及它自己对该语言和库的扩展。Haskell的懒惰语义强加了一个通常很难有效实现的运行时模型。GHC通过积极的优化(利用了无副作用的优势)和针对精心调优的虚拟机,在各种各样的程序中实现了良好的性能。英特尔实验室Haskell研究编译器使用GHC作为前端,但通过将GHC中间表示编译为相对通用的函数式语言编译平台,提供了一个新的整体程序优化后端。我们发现GHC的外部核心语言相对容易使用,但是重用GHC的库和实现完全兼容比较困难。对于某些类别的程序,我们的平台提供了比GHC单独的显著性能优势,在选定的现代性能为导向的基准测试中,使用LLVM后端比GHC快2倍;对于其他类别的程序,GHC调优虚拟机的好处仍然超过更积极的整个程序优化的好处。总的来说,我们通过LLVM后端实现了与GHC相同的功能。在本文中,我们描述了我们的Haskell编译器堆栈,它的实现和优化方法,并给出了与GHC比较的基准测试结果。
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The Intel labs Haskell research compiler
The Glasgow Haskell Compiler (GHC) is a well supported optimizing compiler for the Haskell programming language, along with its own extensions to the language and libraries. Haskell's lazy semantics imposes a runtime model which is in general difficult to implement efficiently. GHC achieves good performance across a wide variety of programs via aggressive optimization taking advantage of the lack of side effects, and by targeting a carefully tuned virtual machine. The Intel Labs Haskell Research Compiler uses GHC as a frontend, but provides a new whole-program optimizing backend by compiling the GHC intermediate representation to a relatively generic functional language compilation platform. We found that GHC's external Core language was relatively easy to use, but reusing GHC's libraries and achieving full compatibility were harder. For certain classes of programs, our platform provides substantial performance benefits over GHC alone, performing 2x faster than GHC with the LLVM backend on selected modern performance-oriented benchmarks; for other classes of programs, the benefits of GHC's tuned virtual machine continue to outweigh the benefits of more aggressive whole program optimization. Overall we achieve parity with GHC with the LLVM backend. In this paper, we describe our Haskell compiler stack, its implementation and optimization approach, and present benchmark results comparing it to GHC.
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