high performance computing on graphics processing units: hgpu.org

This thesis presents a parallel intermediate representation for embedded languages called PIRE, and its incorporation into the Feldspar language. The original Feldspar backend translates the parallel loops of Feldspar to ordinary for loops, meaning that they are not actually parallel in the generated code. We create an alternate backend for the Feldspar project, where the parallel loops of Feldspar are translated as OpenCL kernels that run on the GPU. We show that we gain performance using our new backend for big input sizes compared to the original backend.