thesis

Created: 2014-05-19 03:29
Updated: 2017-07-14 16:35

README.md

Generating LLVM IR using Template Meta Programming in Haskell

Implementing parallel computations is traditionally done in low level languages like C or FORTRAN. This allows great control over the details of execution. Unfortunately, this also comes with the complexities of using a low-level language. To make this easier, Chakravarty et al. have developed Accelerate, an embedded array language for computations for high-performance computing in Haskell. The main execution target of this language is GPUs using the parallel computation framework CUDA.

McDonell started working on an alternative implementation using the LLVM compiler framework. I contribute to this work by implementing a different approach to code-generation for LLVM using quasi-quotation. I use this quasi-quoter to implement missing parts in the code generation of the LLVM backend.

source: https://github.com/tvh/llvm-general-quote

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