abc2-short.bib

@IEEEtranBSTCTL{IEEEexample:BSTcontrol,
  CTLuse_forced_etal       = "yes",
  CTLmax_names_forced_etal = "3",
  CTLnames_show_etal       = "2" 
}

@INPROCEEDINGS{nmf,
    author = {Daniel D. Lee and H. Sebastian Seung},
    title = {Algorithms for Non-negative Matrix Factorization},
    booktitle = {In NIPS},
    year = {2000},
    pages = {556--562},
    publisher = {MIT Press}
}

@techreport{pagerank,
          number = {1999-66},
           month = {November},
          author = {Lawrence Page and Sergey Brin and Rajeev Motwani and Terry Winograd},
           title = {The PageRank Citation Ranking: Bringing Order to the Web.},
            type = {Technical Report},
       publisher = {Stanford InfoLab},
            year = {1999},
     institution = {Stanford InfoLab},
}

@inproceedings{spark-mm,
 author = {Bosagh Zadeh, Reza and Meng, Xiangrui and Ulanov, Alexander and Yavuz, Burak and Pu, Li and Venkataraman, Shivaram and Sparks, Evan and Staple, Aaron and Zaharia, Matei},
 title = {Matrix Computations and Optimization in Apache Spark},
 series = {KDD '16},
 year = {2016},
 isbn = {978-1-4503-4232-2},
 location = {San Francisco, California, USA},
 pages = {31--38},
 numpages = {8},
 doi = {10.1145/2939672.2939675},
 acmid = {2939675},
 publisher = {ACM},
 keywords = {distributed linear algebra, machine learning, matrix computations, mllib, optimization, spark},
}


@inproceedings{ernest,
	title={Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics.},
	author={Venkataraman, Shivaram and Yang, Zongheng and Franklin, Michael J and Recht, Benjamin and Stoica, Ion},
	booktitle={NSDI},
	pages={363--378},
	year={2016}
}

@inproceedings{paris,
 author = {Yadwadkar, Neeraja J. and Hariharan, Bharath and Gonzalez, Joseph E. and Smith, Burton and Katz, Randy H.},
 title = { Best VM Across Multiple Public Clouds: A Data-driven Performance Modeling Approach},
 booktitle = {Proceedings of the 2017 Symposium on Cloud Computing},
 series = {SoCC '17},
 year = {2017},
 isbn = {978-1-4503-5028-0},
 location = {Santa Clara, California},
 pages = {452--465},
 numpages = {14},
 doi = {10.1145/3127479.3131614},
 acmid = {3131614},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {cloud computing, data-driven modeling, performance prediction, resource allocation},
}

@techreport{summa,
 author = {van de Geijn, Robert A. and Watts, Jerrell},
 title = {SUMMA: Scalable Universal Matrix Multiplication Algorithm},
 year = {1995},
 source = {http://www.ncstrl.org:8900/ncstrl/servlet/search?formname=detail\&id=oai%3Ancstrlh%3Autexas_cs%3AUTEXAS_CS%2F%2FCS-TR-95-13},
 publisher = {University of Texas at Austin},
 address = {Austin, TX, USA},
}

@inproceedings{carma,
 author = {Demmel, James and Eliahu, David and Fox, Armando and Kamil, Shoaib and Lipshitz, Benjamin and Schwartz, Oded and Spillinger, Omer},
 title = {Communication-Optimal Parallel Recursive Rectangular Matrix Multiplication},
 series = {IPDPS '13},
 year = {2013},
 isbn = {978-0-7695-4971-2},
 pages = {261--272},
 numpages = {12},
 doi = {10.1109/IPDPS.2013.80},
 acmid = {2511337},
 publisher = {IEEE Computer Society},
 keywords = {ommunication-avoiding algorithms, linear algebra, matrix multiplication},
}

@inproceedings{bayesian-optimization,
 author = {Snoek, Jasper and Larochelle, Hugo and Adams, Ryan P.},
 title = {Practical Bayesian Optimization of Machine Learning Algorithms},
 series = {NIPS'12},
 year = {2012},
 location = {Lake Tahoe, Nevada},
 pages = {2951--2959},
 numpages = {9},
 acmid = {2999464},
 publisher = {Curran Associates Inc.},
 address = {USA},
}

@MISC{NVBLAS,
    author = {A. Ulanov},
    title = {Nvblas:gpu usage with nvblas},
    year = {2016},
    url = {https://github.com/fommil/netlib-java/wiki/NVBLAS.}
}

@INPROCEEDINGS{fatman-littleboy,
author={L. Xu and S. H. Lim and A. R. Butt and S. R. Sukumar and R. Kannan},
booktitle={PDSW-DISCS},
title={FatMan vs. LittleBoy: Scaling Up Linear Algebraic Operations in Scale-Out Data Platforms},
year={2016},
volume={},
number={},
pages={25-30},
doi={10.1109/PDSW-DISCS.2016.009},
ISSN={},
month={Nov}
}

@inproceedings{Yadwadkar:2017:SBV:3127479.3131614,
	author = {Yadwadkar, Neeraja J. and Hariharan, Bharath and Gonzalez, Joseph E. and Smith, Burton and Katz, Randy H.},
	title = {Selecting the Best VM Across Multiple Public Clouds: A Data-driven Performance Modeling Approach},
	series = {SoCC '17},
	year = {2017},
	isbn = {978-1-4503-5028-0},
	pages = {452--465},
	numpages = {14},
	doi = {10.1145/3127479.3131614},
	acmid = {3131614},
	publisher = {ACM},
} 

@article{gradient-boosting,
author = "Friedman, Jerome H.",
doi = "10.1214/aos/1013203451",
fjournal = "The Annals of Statistics",
journal = "Ann. Statist.",
month = "10",
number = "5",
pages = "1189--1232",
publisher = "The Institute of Mathematical Statistics",
title = "Greedy function approximation: A gradient boosting machine.",
volume = "29",
year = "2001"
}

@article {gb-feature-importance,
author = {Elith, J. and Leathwick, J. R. and Hastie, T.},
title = {A working guide to boosted regression trees},
journal = {Journal of Animal Ecology},
volume = {77},
number = {4},
publisher = {Blackwell Publishing Ltd},
issn = {1365-2656},
doi = {10.1111/j.1365-2656.2008.01390.x},
pages = {802--813},
keywords = {data mining, machine learning, model averaging, random forests, species distributions},
year = {2008},
}

@Article{random-forest,
author="Breiman, Leo",
title="Random Forests",
journal="Machine Learning",
year="2001",
month="Oct",
day="01",
volume="45",
number="1",
pages="5--32",
issn="1573-0565",
doi="10.1023/A:1010933404324",
}

@INPROCEEDINGS{fim,
author={J. Bhimani and N. Mi and M. Leeser and Z. Yang},
booktitle={CLOUD},
title={FIM: Performance Prediction for Parallel Computation in Iterative Data Processing Applications},
year={2017},
volume={},
number={},
pages={359-366},
doi={10.1109/CLOUD.2017.53},
ISSN={},
month={June},}

@INPROCEEDINGS{matmult-overhead-profiling,
author={Y. Yu and M. Tang and W. G. Aref and Q. M. Malluhi and M. M. Abbas and M. Ouzzani},
booktitle={ICDE},
title={In-Memory Distributed Matrix Computation Processing and Optimization},
year={2017},
volume={},
number={},
pages={1047-1058},
doi={10.1109/ICDE.2017.150},
ISSN={},
month={April},}

@inproceedings {cherrypick,
author = {Omid Alipourfard and Hongqiang Harry Liu and Jianshu Chen and Shivaram Venkataraman and Minlan Yu and Ming Zhang},
title = {CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics},
booktitle = {{NSDI} 17},
year = {2017},
isbn = {978-1-931971-37-9},
pages = {469--482},
publisher = {{USENIX} Association},
}

@inproceedings{hpc-cloud-predict,
 author = {Mariani, Giovanni and Anghel, Andreea and Jongerius, Rik and Dittmann, Gero},
 title = {Predicting Cloud Performance for HPC Applications: A User-oriented Approach},
 series = {CCGrid '17},
 year = {2017},
 isbn = {978-1-5090-6610-0},
 location = {Madrid, Spain},
 pages = {524--533},
 numpages = {10},
 doi = {10.1109/CCGRID.2017.11},
 acmid = {3101183},
 publisher = {IEEE Press},
 address = {Piscataway, NJ, USA},
}

@inproceedings{spark,
author = {Matei Zaharia and Mosharaf Chowdhury and Tathagata Das and Ankur Dave and Justin Ma and Murphy McCauly and Michael J. Franklin and Scott Shenker and Ion Stoica},
title = {Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing},
booktitle = {NSDI 12},
year = {2012},
isbn = {978-931971-92-8},
address = {San Jose, CA},
pages = {15--28},
publisher = {USENIX},
}

@INPROCEEDINGS{marlin,
author={R. Gu and Y. Tang and Z. Wang and S. Wang and X. Yin and C. Yuan and Y. Huang},
booktitle={Big Data},
title={Efficient large scale distributed matrix computation with spark},
year={2015},
volume={},
number={},
pages={2327-2336},
doi={10.1109/BigData.2015.7364023},
ISSN={},
month={Oct},}

@article{svd,
 author = {Golub, G. H. and Reinsch, C.},
 title = {Singular Value Decomposition and Least Squares Solutions},
 journal = {Numer. Math.},
 issue_date = {April     1970},
 year = {1970},
}