SystemML Publications
2018
Compressed Linear Algebra for Large-Scale Machine Learning
Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald
VLDB Journal, 2018
[paper (author version)]
Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald
VLDB Journal, 2018
[paper (author version)]
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML
Matthias Boehm, Berthold Reinwald, Dylan Hutchison, Alexandre V. Evfimievski, Prithviraj Sen
CoRR,abs/1801.00829, 2018
[paper (preprint)]
Matthias Boehm, Berthold Reinwald, Dylan Hutchison, Alexandre V. Evfimievski, Prithviraj Sen
CoRR,abs/1801.00829, 2018
[paper (preprint)]
2017
Scaling Machine Learning via Compressed Linear Algebra
Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald
SIGMOD Record 46(1), 2017
[paper]
Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald
SIGMOD Record 46(1), 2017
[paper]
SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning
Tarek Elgamal, Shangyu Luo, Matthias Boehm, Alexandre V. Evfimievski, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen:
CIDR, 2017
[paper, slides]
Tarek Elgamal, Shangyu Luo, Matthias Boehm, Alexandre V. Evfimievski, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen:
CIDR, 2017
[paper, slides]
2016
Compressed Linear Algebra for Large-Scale Machine Learning
Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald
PVLDB 9(12), 2016
Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald
PVLDB 9(12), 2016
Declarative Machine Learning - A Classification of Basic Properties and Types
Matthias Boehm, Alexandre V. Evfimievski, Niketan Pansare, Berthold Reinwald
CoRR,abs/1605.05826, 2016
Matthias Boehm, Alexandre V. Evfimievski, Niketan Pansare, Berthold Reinwald
CoRR,abs/1605.05826, 2016
SystemML: Declarative Machine Learning on Spark (Industrial)
Matthias Boehm, Michael W. Dusenberry, Deron Eriksson, Alexandre V. Evfimievski, Faraz Makari Manshadi, Niketan Pansare, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Arvind C. Surve, Shirish Tatikonda
PVLDB 9(13), 2016
Matthias Boehm, Michael W. Dusenberry, Deron Eriksson, Alexandre V. Evfimievski, Faraz Makari Manshadi, Niketan Pansare, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Arvind C. Surve, Shirish Tatikonda
PVLDB 9(13), 2016
2015
On Optimizing Machine Learning Workloads via Kernel Fusion
Arash Ashari, Shirish Tatikonda, Matthias Boehm, Berthold Reinwald, Keith Campbell, John Keenleyside, P. Sadayappan
PPoPP, 2015
Arash Ashari, Shirish Tatikonda, Matthias Boehm, Berthold Reinwald, Keith Campbell, John Keenleyside, P. Sadayappan
PPoPP, 2015
Costing Generated Runtime Execution Plans for Large-Scale Machine Learning Programs
Matthias Boehm
CoRR,abs/1503.06384, 2015
Matthias Boehm
CoRR,abs/1503.06384, 2015
Resource Elasticity for Large-Scale Machine Learning
Botong Huang, Matthias Boehm, Yuanyuan Tian, Berthold Reinwald, Shirish Tatikonda, Frederick R. Reiss
SIGMOD, 2015
Botong Huang, Matthias Boehm, Yuanyuan Tian, Berthold Reinwald, Shirish Tatikonda, Frederick R. Reiss
SIGMOD, 2015
2014
Large Scale Discriminative Metric Learning
Peter D. Kirchner, Matthias Boehm, Berthold Reinwald, Daby M. Sow, Michael Schmidt, Deepak S. Turaga, Alain Biem
ParLearning, 2014
Peter D. Kirchner, Matthias Boehm, Berthold Reinwald, Daby M. Sow, Michael Schmidt, Deepak S. Turaga, Alain Biem
ParLearning, 2014
Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML
Matthias Boehm, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen, Yuanyuan Tian, Douglas Burdick, Shivakumar Vaithyanathan
PVLDB 7(7), 2014
Matthias Boehm, Shirish Tatikonda, Berthold Reinwald, Prithviraj Sen, Yuanyuan Tian, Douglas Burdick, Shivakumar Vaithyanathan
PVLDB 7(7), 2014
SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs
Matthias Boehm, Douglas R. Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
IEEE Data Eng. Bull. 37(3), 2014
Matthias Boehm, Douglas R. Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
IEEE Data Eng. Bull. 37(3), 2014
2013
Compiling Machine Learning Algorithms with SystemML (Poster)
Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
SOCC, 2013
Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
SOCC, 2013
2012
Scalable and Numerically Stable Descriptive Statistics in SystemML
Y. Tian, S. Tatikonda, B. Reinwald
Data Engineering (ICDE), 2012 IEEE 28th International Conference on, pp. 1351--1359
Y. Tian, S. Tatikonda, B. Reinwald
Data Engineering (ICDE), 2012 IEEE 28th International Conference on, pp. 1351--1359
2011
SystemML: Declarative machine learning on MapReduce
A. Ghoting, R. Krishnamurthy, E. Pednault, B. Reinwald, V. Sindhwani, S. Tatikonda, Y. Tian, S. Vaithyanathan
Data Engineering (ICDE), 2011 IEEE 27th International Conference on, pp. 231--242
A. Ghoting, R. Krishnamurthy, E. Pednault, B. Reinwald, V. Sindhwani, S. Tatikonda, Y. Tian, S. Vaithyanathan
Data Engineering (ICDE), 2011 IEEE 27th International Conference on, pp. 231--242