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An LLVM Backend for GHC
"... In the presence of ever-changing computer architectures, highquality optimising compiler backends are moving targets that require specialist knowledge and sophisticated algorithms. In this paper, we explore a new backend for the Glasgow Haskell Compiler (GHC) that leverages the Low Level Virtual Mac ..."
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In the presence of ever-changing computer architectures, highquality optimising compiler backends are moving targets that require specialist knowledge and sophisticated algorithms. In this paper, we explore a new backend for the Glasgow Haskell Compiler (GHC) that leverages the Low Level Virtual Machine (LLVM), a new breed of compiler written explicitly for use by other compiler writers, not high-level programmers, that promises to enable outsourcing of low-level and architecture-dependent aspects of code generation. We discuss the conceptual challenges and our backend design. We also provide an extensive quantitative evaluation of the performance of the backend and of the code it produces.
The Design and Implementation of Feldspar an Embedded Language for Digital Signal Processing
- In Proceedings of the 22nd international conference on Implementation and application of functional languages, IFL’10
, 2011
"... Abstract. Feldspar is a domain specific language, embedded in Haskell, for programming digital signal processing algorithms. The final aim of a Feldspar program is to generate low level code with good performance. Still, we chose to provide the user with a purely functional DSL. The language is impl ..."
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Abstract. Feldspar is a domain specific language, embedded in Haskell, for programming digital signal processing algorithms. The final aim of a Feldspar program is to generate low level code with good performance. Still, we chose to provide the user with a purely functional DSL. The language is implemented as a minimal, deeply embedded core language, with shallow extensions built upon it. This paper presents full details of the essential parts of the implementation. Our initial conclusion is that this approach works well in our domain, although much work remains. 1

