Matthias Boehm

Most-cited papers

SystemML: Declarative Machine Learning on Spark
Matthias Boehm, Arvind Surve, S. Tatikonda, Michael W. Dusenberry +7 more
2016Proceedings of the VLDB Endowment237 citations
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Data Management in Machine Learning: Challenges, Techniques, and Systems
Arun Kumar, Matthias Boehm, Jun Yang
2017SIGMOD Conference153 citations
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Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML
Matthias Boehm, S. Tatikonda, B. Reinwald, Prithviraj Sen +3 more
2014Proceedings of the VLDB Endowment106 citations Open access
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Compressed linear algebra for large-scale machine learning
Ahmed Elgohary, Matthias Boehm, P. Haas, Frederick Reiss +1 more
2016The VLDB journal101 citations
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SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle
Matthias Boehm, Iulian Antonov, Sebastian Baunsgaard, Mark Dokter +9 more
2019Conference on Innovative Data Systems Research87 citations
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SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging
S. Sagadeeva, Matthias Boehm
2021SIGMOD Conference80 citations
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On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML
Matthias Boehm, B. Reinwald, D. Hutchison, Prithviraj Sen +2 more
2018Proceedings of the VLDB Endowment69 citations Open access
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Data management in the MIRABEL smart grid system
Matthias Boehm, Lars Dannecker, Andreas Doms, E. Dovgan +7 more
2012EDBT/ICDT Workshops59 citations Open access
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On optimizing machine learning workloads via kernel fusion
Arash Ashari, S. Tatikonda, Matthias Boehm, B. Reinwald +3 more
2015ACM SIGPLAN Symposium on Principles & Practice of Parallel Programming58 citations
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Resource Elasticity for Large-Scale Machine Learning
Botong Huang, Matthias Boehm, Yuan-Yuan Tian, B. Reinwald +2 more
2015SIGMOD Conference58 citations
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Efficient In-Memory Indexing with Generalized Prefix Trees
Matthias Boehm, B. Schlegel, P. Volk, Ulrike Fischer +2 more
2011Datenbanksysteme für Business, Technologie und Web58 citations
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Data Management in Machine Learning Systems
Matthias Boehm, Arun Kumar, Jun Yang
2019Data Management in Machine Learning Systems55 citations
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SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs
Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, B. Reinwald +4 more
2014IEEE Data Engineering Bulletin46 citations
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LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems
Arnab Phani, Benjamin Rath, Matthias Boehm
2021SIGMOD Conference45 citations
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SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning
Tarek Elgamal, Shangyu Luo, Matthias Boehm, Alexandre V. Evfimievski +3 more
2017Conference on Innovative Data Systems Research43 citations
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Towards Integrated Data Analytics: Time Series Forecasting in DBMS
Ulrike Fischer, Lars Dannecker, Laurynas Siksnys, Frank Rosenthal +2 more
2012Datenbank-Spektrum30 citations Open access
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DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines
Patrick Damme, Marius Birkenbach, Constantinos Bitsakos, Matthias Boehm +38 more
2022Conference on Innovative Data Systems Research26 citations
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ExDRa: Exploratory Data Science on Federated Raw Data
Sebastian Baunsgaard, Matthias Boehm, Ankit Chaudhary, Behrouz Derakhshan +13 more
2021SIGMOD Conference25 citations Open access
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Cost-based vectorization of instance-based integration processes
Matthias Boehm, Dirk Habich, Steffen Preissler, Wolfgang Lehner +1 more
2009Information Systems21 citations Open access
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Compressed linear algebra for declarative large-scale machine learning
Ahmed Elgohary, Matthias Boehm, P. Haas, Frederick Reiss +1 more
2019Communications of the ACM20 citations Open access
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MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions
Johanna Sommer, Matthias Boehm, Alexandre V. Evfimievski, B. Reinwald +1 more
2019SIGMOD Conference19 citations
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Declarative Machine Learning - A Classification of Basic Properties and Types
Matthias Boehm, Alexandre V. Evfimievski, Niketan Pansare, B. Reinwald
2016arXiv.org16 citations
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UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads
Arnab Phani, Lukas Erlbacher, Matthias Boehm
2022Proceedings of the VLDB Endowment15 citations
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AWARE: Workload-aware, Redundancy-exploiting Linear Algebra
Sebastian Baunsgaard, Matthias Boehm
2023Proc. ACM Manag. Data13 citations
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Learning Explainable Linguistic Expressions with Neural Inductive Logic Programming for Sentence Classification
Prithviraj Sen, Marina Danilevsky, Yun-Yao Li, Siddhartha Brahma +3 more
2020Conference on Empirical Methods in Natural Language Processing13 citations Open access
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Model-Driven Generation and Optimization of Complex Integration Processes
Matthias Boehm, Uwe Wloka, Dirk Habich, Wolfgang Lehner
2008International Conference on Enterprise Information Systems11 citations Open access
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Scaling Machine Learning via Compressed Linear Algebra
Ahmed Elgohary, Matthias Boehm, P. Haas, Frederick Reiss +1 more
2017SGMD10 citations
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Offline Design Tuning for Hierarchies of Forecast Models
Ulrike Fischer, Matthias Boehm, Wolfgang Lehner
2011Datenbanksysteme für Business, Technologie und Web10 citations
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GCIP: exploiting the generation and optimization of integration processes
Matthias Boehm, Uwe Wloka, Dirk Habich, Wolfgang Lehner
2009International Conference on Extending Database Technology10 citations Open access
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Optimizing Tensor Computations: From Applications to Compilation and Runtime Techniques
Matthias Boehm, Matteo Interlandi, Christopher M. Jermaine
2023SIGMOD Conference Companion9 citations Open access
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Workload-based optimization of integration processes
Matthias Boehm, Uwe Wloka, Dirk Habich, Wolfgang Lehner
2008International Conference on Information and Knowledge Management9 citations Open access
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Indexing forecast models for matching and maintenance
Ulrike Fischer, Frank Rosenthal, Matthias Boehm, Wolfgang Lehner
2010International Database Engineering and Applications Symposium8 citations Open access
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Federated Data Preparation, Learning, and Debugging in Apache SystemDS
Sebastian Baunsgaard, Matthias Boehm, Kevin Innerebner, Mito Kehayov +6 more
2022International Conference on Information and Knowledge Management7 citations Open access
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On-demand re-optimization of integration flows
Matthias Boehm, Dirk Habich, Wolfgang Lehner
2014Information Systems6 citations Open access
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Cost-based optimization of integration flows
Matthias Boehm
20106 citations
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Efficient Data-Parallel Cumulative Aggregates for Large-Scale Machine Learning
Matthias Boehm, Alexandre V. Evfimievski, B. Reinwald
2019Datenbanksysteme für Business, Technologie und Web5 citations
Semantic Scholar
Partitioning and Multi-core Parallelization of Multi-equation Forecast Models
Lars Dannecker, Matthias Boehm, Wolfgang Lehner, Gregor Hackenbroich
2012International Conference on Statistical and Scientific Database Management5 citations Open access
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DEEM'22: Data Management for End-to-End Machine Learning
Matthias Boehm, P. Varma, Doris Xin
2022SIGMOD Conference4 citations
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Large Scale Discriminative Metric Learning
P. Kirchner, Matthias Boehm, B. Reinwald, D. Sow +3 more
20142014 IEEE International Parallel & Distributed Processing Symposium Workshops4 citations
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Compiling machine learning algorithms with SystemML
Matthias Boehm, Douglas Burdick, Alexandre V. Evfimievski, B. Reinwald +3 more
2013ACM Symposium on Cloud Computing4 citations
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A high-throughput in-memory index, durable on flash-based SSD: insights into the winning solution of the SIGMOD programming contest 2011
T. Kissinger, B. Schlegel, Matthias Boehm, Dirk Habich +1 more
2012SGMD4 citations Open access
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Vectorizing Instance-Based Integration Processes
Matthias Boehm, Dirk Habich, Steffen Preissler, Wolfgang Lehner +1 more
2009International Conference on Enterprise Information Systems4 citations Open access
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GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example
Saeed Fathollahzadeh, Matthias Boehm
2023Proc. ACM Manag. Data3 citations Open access
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Apache SystemML
Matthias Boehm
2019Encyclopedia of Big Data Technologies3 citations
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Resiliency-aware data management
Matthias Boehm, Wolfgang Lehner, Christof Fetzer
2011Proceedings of the VLDB Endowment3 citations
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Multi-flow Optimization via Horizontal Message Queue Partitioning
Matthias Boehm, Dirk Habich, Wolfgang Lehner
2010International Conference on Enterprise Information Systems3 citations Open access
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Deep Learning with Apache SystemML
Niketan Pansare, Michael W. Dusenberry, Nakul Jindal, Matthias Boehm +2 more
2018arXiv.org2 citations
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Costing Generated Runtime Execution Plans for Large-Scale Machine Learning Programs
Matthias Boehm
2015arXiv.org2 citations
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Efficient Integration of External Information into Forecast Models from the Energy Domain
Lars Dannecker, Elena Vasilyeva, Matthias Boehm, Wolfgang Lehner +1 more
2012Symposium on Advances in Databases and Information Systems2 citations Open access
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Multi-process Optimization Via Horizontal Message Queue Partitioning
Matthias Boehm, Dirk Habich, Wolfgang Lehner
2010International Conference on Enterprise Information Systems2 citations Open access
Semantic Scholar