APL on GPUs: A TAIL from the Past, Scribbled in Futhark
This paper demonstrates translation schemes by which programs written in a functional subset of APL can be compiled to code that is run efficiently on general purpose graphical processing units (GPGPUs). Furthermore, the generated programs can be straightforwardly interoperated with mainstream programming environments, such as Python, for example for purposes of visualization and user interaction. Finally, empirical evaluation shows that the GPGPU translation achieves speedups up to hundreds of times faster than sequential C compiled code.
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14:00 - 14:50
|Low-Level Functional GPU Programming for Parallel Algorithms|
|APL on GPUs: A TAIL from the Past, Scribbled in Futhark|
Troels HenriksenDIKU, University of Copenhagen, Martin Dybdal, Henrik UrmsDIKU, University of Copenhagen, Anna Sofie KiehnDIKU, University of Copenhagen, Daniel GavinDIKU, University of Copenhagen, Hjalte AbelskovDIKU, University of Copenhagen, Martin ElsmanDepartment of Computer Science, University of Copenhagen, Cosmin OanceaDIKU, University of Copenhagen