Xevtgen: Fortran code transformer generator for high performance scientific codes-Reference-Cited by-同舟云学术

Xevtgen: Fortran code transformer generator for high performance scientific codes

Published:2016 Issue:2 Volume:6 Page:263-289
ISSN:2185-2839
Container-title:International Journal of Networking and Computing
language:en
Short-container-title:IJNC

Author:

Suda Reiji¹,Takizawa Hiroyuki²,Hirasawa Shoichi²

Affiliation:

1. The University of Tokyo

2. Tohoku University

Publisher

IJNC Editorial Committee

Link

https://www.jstage.jst.go.jp/article/ijnc/6/2/6_263/_pdf

Reference18 articles.

1. [1] Ira D. Baxter, Christopher Pidgeon, and Michael Mehlich. DMS: Program transformations for practical scalable software evolution. In Proc. 26th International Conference on Software Engineering (ICSE'04), pages 625-634, 2004.

2. [2] Daniel Chavarria-Miranda, Ajay Panyala, Wenjing Ma, Adrian Prantl, and Sriram Krishnamoorthy. Global transformations for legacy parallel applications via structural analysis and rewriting. Parallel Computing, 43:1-26, 2015.

3. [3] Zachary Devito, Niels Joubert, Francisco Palacios, Stephen Oakley, Montserrat Medina, Mike Barrientos, Erch Elsen, Frank Ham, Alex Aiken, Karthik Duraisamy, Eric Darve, Juan Alonso, and Pat Hanrahan. Liszt: A domain specific language for building portable mesh-based pde solver s. In 2011 International Conference for High Performance Computing , Networking, Storage and Analysis (SC'11), pages 9:1-9:12, 2011.

4. [4] Ryusuke Egawa, Kazuhiko Komatsu, and Hiroaki Kobayashi. Designing an HPC refactoring catalog toward the exa-scale computing era. Sustained Simulation Performance 2014, pages 91-98, 2014.

5. [5] Kanako Homizu, Ken Wakita, and Akira Sasaki. An implementation of a hygienic syntactic macro system for JavaScript using parsing expression grammar and a scheme macro expander. IPSJ Transactions on Programming, 6(2):85-101, 2013.

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