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PENCIL: Towards a Platform-Neutral Compute Intermediate Language for DSLs

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arxiv 1302.5586 v1 pith:E6H26MSV submitted 2013-02-22 cs.PL cs.DC

Riyadh Baghdadi , Albert Cohen , Serge Guelton , Sven Verdoolaege , Jun Inoue , Tobias Grosser , Georgia Kouveli , Alexey Kravets
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Anton Lokhmotov Cedric Nugteren Fraser Waters Alastair F. Donaldson
This is my paper · ORCID
classification cs.PLcs.DC
keywords computeintermediatelanguagepencilplatform-neutralacceleratordesigndsls
verification ladder T0 review T1 audit T2 compute T3 formal
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We motivate the design and implementation of a platform-neutral compute intermediate language (PENCIL) for productive and performance-portable accelerator programming.

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Cited by 1 Pith paper

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  1. Pearl: Automatic Code Optimization Using Deep Reinforcement Learning

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    An RL agent with a graph neural network learns loop nest optimizations for the Tiramisu compiler and generalizes to unseen benchmarks, reporting 2.02x and 3.36x geometric mean speedups over Tiramisu and Pluto.

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