APL on GPUs: a TAIL from the Past, scribbled in Futhark

TY - GEN

T1 - APL on GPUs

T2 - International Workshop on Functional High-Performance Computing

AU - Henriksen, Troels

AU - Dybdal, Martin

AU - Urms, Henrik

AU - Kiehn, Anna Sofie

AU - Gavin, Daniel

AU - Abelskov, Hjalte

AU - Elsman, Martin

AU - Oancea, Cosmin Eugen

N1 - Conference code: 5

PY - 2016/9/8

Y1 - 2016/9/8

N2 - 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 straight-forwardly 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.

AB - 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 straight-forwardly 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.

U2 - 10.1145/2975991.2975997

DO - 10.1145/2975991.2975997

M3 - Article in proceedings

SP - 38

EP - 43

BT - Proceedings of the 5th International Workshop on Functional High-Performance Computing

PB - Association for Computing Machinery

Y2 - 22 September 2016 through 22 September 2016

ER -