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Publications of Torsten Hoefler
Alexandru Calotoiu, Tal Ben-Nun, Grzegorz Kwasniewski, Johannes de Fine Licht, Timo Schneider, Philipp Schaad, Torsten Hoefler:

 Lifting C Semantics for Dataflow Optimization

(In Proceedings of the 2022 International Conference on Supercomputing (ICS'22), Jul. 2022)

Abstract

C is the lingua franca of programming and almost any device can be programmed using C. However, programming mod-ern heterogeneous architectures such as multi-core CPUs and GPUs requires explicitly expressing parallelism as well as device-specific properties such as memory hierarchies. The resulting code is often hard to understand, debug, and modify for different architectures. We propose to lift C pro-grams to a parametric dataflow representation that lends itself to static data-centric analysis and enables automatic high-performance code generation. We separate writing code from optimizing for different hardware: simple, portable C source code is used to generate efficient specialized versions with a click of a button. Our approach can identify parallelism when no other compiler can, and outperforms a bespoke parallelized version of a scientific proxy application by up to 21%

Documents

    
 

BibTeX

@inproceedings{,
  author={Alexandru Calotoiu and Tal Ben-Nun and Grzegorz Kwasniewski and Johannes de Fine Licht and Timo Schneider and Philipp Schaad and Torsten Hoefler},
  title={{Lifting C Semantics for Dataflow Optimization}},
  year={2022},
  month={Jul.},
  booktitle={Proceedings of the 2022 International Conference on Supercomputing (ICS'22)},
  source={http://www.unixer.de/~htor/publications/},
}


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