Home Publications all years 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 theses techreports presentations edited volumes conferences Awards Research Teaching BLOG Miscellaneous Full CV [pdf] ross2019
Events

Past Events
|
Publications of Torsten Hoefler
Copyright Notice:
The documents distributed by this server have been provided by the
contributing authors as a means to ensure timely dissemination of
scholarly and technical work on a noncommercial basis. Copyright and all
rights therein are maintained by the authors or by other copyright
holders, notwithstanding that they have offered their works here
electronically. It is understood that all persons copying this
information will adhere to the terms and constraints invoked by each
author's copyright. These works may not be reposted without the explicit
permission of the copyright holder.
T. Hoefler:
| | Accelerating weather and climate simulations on heterogeneous architectures
(Presentation - presented in Erlangen, Germany, Feb. 2017, Colloquium at the Friedrich-Alexander-Universitaet Erlangen-Nuernberg )
AbstractStencil computations form the heart of many weather and climate code. As opposed to traditional views on these computations that only consider a single function applied to a single field, weather and climate codes exhibit complex stencil chains computing dozens of input and output fields. Code transformations, such as loop tiling and loop fusion, are of key importance for the efficient implementation of stencil computations. However, their direct application to a large code base is costly and severely impacts program maintainability. While recently introduced domain-specific languages facilitate the application of such transformations, they typically still require manual tuning or auto-tuning techniques to select the transformations that yield optimal performance. We introduce MODESTO, a model-driven stencil optimization framework, that for a stencil program suggests program transformations optimized for a given target architecture. Initially, we review and categorize data locality transformations for stencil programs and introduce a stencil algebra that allows the expression and enumeration of different stencil program implementation variants. Combining this algebra with a compile-time performance model, we show how to automatically tune stencil programs. We use our framework to model the STELLA library and optimize kernels used by the COSMO atmospheric model on multi-core and hybrid CPU-GPU architectures. Compared to naive and expert-tuned variants, the automatically tuned kernels attain a 2.0-3.1x and a 1.0-1.8x speedup respectively.
Documentsdownload slides:  | | BibTeX | @misc{hoefler-climate-fau, author={T. Hoefler}, title={{Accelerating weather and climate simulations on heterogeneous architectures}}, year={2017}, month={Feb.}, location={Erlangen, Germany}, note={Colloquium at the Friedrich-Alexander-Universitaet Erlangen-Nuernberg}, source={http://www.unixer.de/~htor/publications/}, } |
|
|