Nikola: embedding compiled GPU functions in Haskell (ACM)

Publication Year: 
2010

We describe Nikola, a first-order language of array computations embedded in Haskell that compiles to GPUs via CUDA using a new set of type-directed techniques to support re-usable computations. Nikola automatically handles a range of low-level details for Haskell programmers, such as marshaling data to/from the GPU, size inference for buffers, memory management, and automatic loop parallelization. Additionally, Nikola supports both compile-time and run-time code generation, making it possible for programmers to choose when and where to specialize embedded programs.

Paper available at ACM.

Institution: 
Harvard University, Cambridge, MA, USA
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