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Matthias Boehm photoAlexandre (Sasha) Evfimievski photo photoBerthold Reinwald photo Frederick R. Reiss photo Michelle Sung photo YUANYUAN TIAN photo Zhennan Wang photo

SystemML Publications



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]

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]


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

Declarative Machine Learning - A Classification of Basic Properties and Types
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


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

Costing Generated Runtime Execution Plans for Large-Scale Machine Learning Programs
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


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

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

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


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


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


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