Array Program Transformation with Loo.py by Example: High-Order Finite Elements
Article (178.0Kb)Abstract
To concisely and effectively demonstrate the capabilities of our
program transformation system Loo.py, we examine a transformation
path from two real-world Fortran subroutines as found in a
weather model to a single high-performance computational kernel
suitable for execution on modern GPU hardware. Along the transformation
path, we encounter kernel fusion, vectorization, prefetching,
parallelization, and algorithmic changes achieved by mechanized
conversion between imperative and functional/substitution-based
code, among a number more. We conclude with performance
results that demonstrate the effects and support the effectiveness of
the applied transformations.
Description
The article of record as published may be found at http://dx.doi.org/10.1145/
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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