Accelerating Haskell Array Codes with Multicore GPUs
In the paper Accelerating Haskell Array Codes with Multicore GPUs, we describe Accelerate, embedded language for array computations in Haskell, as well as a dynamic code generator targeting NVIDIA's CUDA GPGPU programming environment. Our CUDA code generator is based on the idea of algorithmic skeletons for parallel programming, minimises re-compilation overheads, and overlaps host-to-device data transfers, code generation, and kernel execution.
The paper outlines our embedding in Haskell, details the design and implementation of the dynamic code generator, and reports on initial benchmark results. These results indicate that we can compete with moderately optimised native CUDA code, while enabling much simpler source programs.
