Improving Reproducibility of Distributed Computational Experiments-Reference-Cited by-同舟云学术

Improving Reproducibility of Distributed Computational Experiments

Published:2018-06-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the First International Workshop on Practical Reproducible Evaluation of Computer Systems
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Author:

Pham Quan¹,Malik Tanu²,That Dai Hai Ton²,Youngdahl Andrew²

Affiliation:

1. The University of Chicago, Chicago, IL, USA

2. DePaul University, Chicago, IL, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3214239.3214241

Reference18 articles.

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2. The Sciunit. https://sciunit.run/ 2017. {Online; accessed 10-Sep-2017}. The Sciunit. https://sciunit.run/ 2017. {Online; accessed 10-Sep-2017}.

3. Peter Amstutz Michael R. Crusoe Nebojï£¡a Tijanic Brad Chapman John Chilton Michael Heuer Andrey Kartashov Dan Leehr Hervï£¡ Mï£¡nager Maya Nedeljkovich Matt Scales Stian Soiland-Reyes and Luka Stojanovic. Common Workflow Language v1.0. 7 2016. Peter Amstutz Michael R. Crusoe Nebojï£¡a Tijanic Brad Chapman John Chilton Michael Heuer Andrey Kartashov Dan Leehr Hervï£¡ Mï£¡nager Maya Nedeljkovich Matt Scales Stian Soiland-Reyes and Luka Stojanovic. Common Workflow Language v1.0. 7 2016.

4. The Nas Parallel Benchmarks

5. N. Best J. Elliott and I. Foster. Synthesis of a complete land Use/Land cover dataset for the conterminous united states. SSRN eLibrary 2012. N. Best J. Elliott and I. Foster. Synthesis of a complete land Use/Land cover dataset for the conterminous united states. SSRN eLibrary 2012.

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