Frank Austin Nothaft, Matt Massie, Timothy Danford, Zhao Zhang, Uri Laserson, Carl Yeksigian, Jey Kottalam, Arun Ahuja, Jeff Hammerbacher, Michael Linderman, Michael J. Franklin, Anthony D. Joseph, David A. Patterson. Rethinking Data-Intensive Science Using Scalable Analytics Systems. In Timos Sellis, Susan B. Davidson, Zachary G. Ives, editors, Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31 - June 4, 2015. pages 631-646, ACM, 2015. [doi]
@inproceedings{NothaftMDZLYKAH15,
title = {Rethinking Data-Intensive Science Using Scalable Analytics Systems},
author = {Frank Austin Nothaft and Matt Massie and Timothy Danford and Zhao Zhang and Uri Laserson and Carl Yeksigian and Jey Kottalam and Arun Ahuja and Jeff Hammerbacher and Michael Linderman and Michael J. Franklin and Anthony D. Joseph and David A. Patterson},
year = {2015},
doi = {10.1145/2723372.2742787},
url = {http://doi.acm.org/10.1145/2723372.2742787},
researchr = {https://researchr.org/publication/NothaftMDZLYKAH15},
cites = {0},
citedby = {0},
pages = {631-646},
booktitle = {Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31 - June 4, 2015},
editor = {Timos Sellis and Susan B. Davidson and Zachary G. Ives},
publisher = {ACM},
isbn = {978-1-4503-2758-9},
}