%0 Conference Paper %1 conf/bigdataconf/GittensDRRGKLMC16 %A Gittens, Alex %A Devarakonda, Aditya %A Racah, Evan %A Ringenburg, Michael F. %A Gerhardt, Lisa %A Kottalam, Jey %A Liu, Jialin %A Maschhoff, Kristyn J. %A Canon, Shane %A Chhugani, Jatin %A Sharma, Pramod %A Yang, Jiyan %A Demmel, James %A Harrell, Jim %A Krishnamurthy, Venkat %A Mahoney, Michael W. %A Prabhat, %B BigData %D 2016 %E Joshi, James %E Karypis, George %E Liu, Ling %E Hu, Xiaohua %E Ak, Ronay %E Xia, Yinglong %E Xu, Weijia %E Sato, Aki-Hiro %E Rachuri, Sudarsan %E Ungar, Lyle H. %E Yu, Philip S. %E Govindaraju, Rama %E Suzumura, Toyotaro %I IEEE Computer Society %K dblp %P 204-213 %T Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies. %U http://dblp.uni-trier.de/db/conf/bigdataconf/bigdataconf2016.html#GittensDRRGKLMC16 %@ 978-1-4673-9005-7

@inproceedings{conf/bigdataconf/GittensDRRGKLMC16, added-at = {2019-12-17T00:00:00.000+0100}, author = {Gittens, Alex and Devarakonda, Aditya and Racah, Evan and Ringenburg, Michael F. and Gerhardt, Lisa and Kottalam, Jey and Liu, Jialin and Maschhoff, Kristyn J. and Canon, Shane and Chhugani, Jatin and Sharma, Pramod and Yang, Jiyan and Demmel, James and Harrell, Jim and Krishnamurthy, Venkat and Mahoney, Michael W. and Prabhat}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/22974d8ca801b43b3be0fc730623a5cd9/dblp}, booktitle = {BigData}, crossref = {conf/bigdataconf/2016}, editor = {Joshi, James and Karypis, George and Liu, Ling and Hu, Xiaohua and Ak, Ronay and Xia, Yinglong and Xu, Weijia and Sato, Aki-Hiro and Rachuri, Sudarsan and Ungar, Lyle H. and Yu, Philip S. and Govindaraju, Rama and Suzumura, Toyotaro}, ee = {https://doi.org/10.1109/BigData.2016.7840606}, interhash = {65d2924657681ac0fb795d1aa7841319}, intrahash = {2974d8ca801b43b3be0fc730623a5cd9}, isbn = {978-1-4673-9005-7}, keywords = {dblp}, pages = {204-213}, publisher = {IEEE Computer Society}, timestamp = {2020-01-09T08:13:32.000+0100}, title = {Matrix factorizations at scale: A comparison of scientific data analytics in spark and C+MPI using three case studies.}, url = {http://dblp.uni-trier.de/db/conf/bigdataconf/bigdataconf2016.html#GittensDRRGKLMC16}, year = 2016 }