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Dirk Habich
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- affiliation: Dresden University of Technology, Germany
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2020 – today
- 2024
- [c175]Johannes Fett, Dirk Habich, Wolfgang Lehner:
Amethyst - A Generalized on-the-Fly De/Re-compression Framework to Accelerate Data-Intensive Integer Operations on GPUs. ADBIS 2024: 107-120 - [c174]André Berthold, Lennart Schmidt, Antonia Obersteiner, Dirk Habich, Wolfgang Lehner, Horst Schirmeier:
On-The-Fly Data Distribution to Accelerate Query Processing in Heterogeneous Memory Systems. ADBIS 2024: 170-183 - [c173]Johannes Pietrzyk, Alexander Krause, Christian Faerber, Dirk Habich, Wolfgang Lehner:
Program your (custom) SIMD instruction set on FPGA in C++. CIDR 2024 - [c172]Juliana Hildebrandt, Ludwig Maximilian Leibl, Dirk Habich, Wolfgang Lehner:
Development and Evaluation of a FIWARE-based Digital Twin Prototype for Road System. DiDit@DisCoTec 2024 - [c171]André Berthold, Constantin Fürst, Antonia Obersteiner, Lennart Schmidt, Dirk Habich, Wolfgang Lehner, Horst Schirmeier:
Demystifying Intel Data Streaming Accelerator for In-Memory Data Processing. DIMES@SOSP 2024: 9-16 - [c170]Jerome Thiessat, Dirk Habich, Wolfgang Lehner:
Steering the PostgreSQL query optimizer using hinting: State-Of-The-Art and open challenges. GvDB 2024: 51-57 - [c169]Dirk Habich, Johannes Pietrzyk:
SIMDified Data Processing - Foundations, Abstraction, and Advanced Techniques. SIGMOD Conference Companion 2024: 613-621 - [i4]Johannes Pietrzyk, Alexander Krause, Dirk Habich, Wolfgang Lehner:
Designing and Implementing a Generator Framework for a SIMD Abstraction Library. CoRR abs/2407.18728 (2024) - 2023
- [j23]Juliana Hildebrandt, Johannes Pietrzyk, Alexander Krause, Dirk Habich, Wolfgang Lehner:
Partition-based SIMD Processing and its Application to Columnar Database Systems. Datenbank-Spektrum 23(1): 53-63 (2023) - [j22]Juliana Hildebrandt, Dirk Habich, Wolfgang Lehner:
BOUNCE: memory-efficient SIMD approach for lightweight integer compression. Distributed Parallel Databases 41(3): 439-466 (2023) - [j21]Lucas Woltmann, Jerome Thiessat, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
FASTgres: Making Learned Query Optimizer Hinting Effective. Proc. VLDB Endow. 16(11): 3310-3322 (2023) - [c168]Rico Bergmann, Axel Hertzschuch, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
PostBOUND: PostgreSQL with Upper Bound SPJ Query Optimization. BTW 2023: 283-304 - [c167]David Broneske, Dirk Habich:
Second Workshop on Novel Data Management Ideas on Heterogeneous (Co-)Processors (NoDMC). BTW 2023: 697-699 - [c166]Andreas Geyer, Daniel Ritter, Dong Hun Lee, Minseon Ahn, Johannes Pietrzyk, Alexander Krause, Dirk Habich, Wolfgang Lehner:
Working with Disaggregated Systems. What are the Challenges and Opportunities of RDMA and CXL? BTW 2023: 751-755 - [c165]Johannes Fett, Christian Schwarz, Urs Kober, Dirk Habich, Wolfgang Lehner:
Improving GPU Matrix Multiplication by Leveraging Bit Level Granularity and Compression. BTW 2023: 763-772 - [c164]Jerome Thiessat, Lucas Woltmann, Claudio Hartmann, Dirk Habich:
Optimizing Query Processing in PostgreSQL Through Learned Optimizer Hints. BTW 2023: 1075-1081 - [c163]Andreas Geyer, Alexander Krause, Dirk Habich, Wolfgang Lehner:
Pipeline Group Optimization on Disaggregated Systems. CIDR 2023 - [c162]Andreas Geyer, Johannes Pietrzyk, Alexander Krause, Dirk Habich, Wolfgang Lehner, Christian Färber, Thomas Willhalm:
Near to Far: An Evaluation of Disaggregated Memory for In-Memory Data Processing. DIMES@SOSP 2023: 16-22 - [c161]Lucas Woltmann, Patrick Damme, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
Learned Selection Strategy for Lightweight Integer Compression Algorithms. EDBT 2023: 552-564 - [c160]Dirk Habich, Alexander Krause, Johannes Pietrzyk, Christian Faerber, Wolfgang Lehner:
Simplicity done right for SIMDified query processing on CPU and FPGA. SiMoD@SIGMOD 2023: 3:1-3:5 - 2022
- [j20]Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
Aggregate-based Training Phase for ML-based Cardinality Estimation. Datenbank-Spektrum 22(1): 45-57 (2022) - [j19]Johannes Fett, Urs Kober, Christian Schwarz, Dirk Habich, Wolfgang Lehner:
Accelerating Parallel Operation for Compacting Selected Elements on GPUs. J. Open Source Softw. 7(75): 4589 (2022) - [j18]Axel Hertzschuch, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
Turbo-Charging SPJ Query Plans with Learned Physical Join Operator Selections. Proc. VLDB Endow. 15(11): 2706-2718 (2022) - [j17]Johannes Pietrzyk, Alexander Krause, Dirk Habich, Wolfgang Lehner:
To share or not to share vector registers? VLDB J. 31(6): 1215-1236 (2022) - [c159]Patrick Damme, Marius Birkenbach, Constantinos Bitsakos, Matthias Boehm, Philippe Bonnet, Florina M. Ciorba, Mark Dokter, Pawel Dowgiallo, Ahmed Eleliemy, Christian Faerber, Georgios I. Goumas, Dirk Habich, Niclas Hedam, Marlies Hofer, Wenjun Huang, Kevin Innerebner, Vasileios Karakostas, Roman Kern, Tomaz Kosar, Alexander Krause, Daniel Krems, Andreas Laber, Wolfgang Lehner, Eric Mier, Marcus Paradies, Bernhard Peischl, Gabrielle Poerwawinata, Stratos Psomadakis, Tilmann Rabl, Piotr Ratuszniak, Pedro Silva, Nikolai Skuppin, Andreas Starzacher, Benjamin Steinwender, Ilin Tolovski, Pinar Tözün, Wojciech Ulatowski, Yuanyuan Wang, Izajasz P. Wrosz, Ales Zamuda, Ce Zhang, Xiaoxiang Zhu:
DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines. CIDR 2022 - [c158]Dirk Habich, Johannes Pietrzyk, Alexander Krause, Juliana Hildebrandt, Wolfgang Lehner:
To use or not to use the SIMD gather instruction? DaMoN 2022: 9:1-9:5 - [c157]Juliana Hildebrandt, Dirk Habich, Wolfgang Lehner:
Towards A General SIMD Concurrent Approach to Accelerating Integer Compression Algorithms. EDBT 2022: 2:414-2:418 - [c156]Johannes Fett, Urs Kober, Christian Schwarz, Dirk Habich, Wolfgang Lehner:
Accelerating Parallel Operation for Compacting Selected Elements on GPUs. Euro-Par 2022: 186-200 - [c155]Juliana Hildebrandt, Dirk Habich, Wolfgang Lehner:
BOUNCE: Memory-Efficient SIMD Approach for Lightweight Integer Compression. ICDE Workshops 2022: 123-128 - 2021
- [j16]Lucas Woltmann, Dominik Olwig, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
PostCENN: PostgreSQL with Machine Learning Models for Cardinality Estimation. Proc. VLDB Endow. 14(12): 2715-2718 (2021) - [c154]Juliana Hildebrandt, André Berthold, Dirk Habich, Wolfgang Lehner:
LCTL: Lightweight Compression Template Library. IEEE BigData 2021: 2966-2975 - [c153]Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
Aggregate-based Training Phase for ML-based Cardinality Estimation. BTW 2021: 135-154 - [c152]Axel Hertzschuch, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
Simplicity Done Right for Join Ordering. CIDR 2021 - [c151]Johannes Fett, Annett Ungethüm, Dirk Habich, Wolfgang Lehner:
The Case for SIMDified Analytical Query Processing on GPUs. DaMoN 2021: 14:1-14:5 - [c150]Johannes Fett, Annett Ungethüm, Dirk Habich, Wolfgang Lehner:
Towards Porting Hardware-Oblivious Vectorized Query Operators to GPUs. GvDB 2021 - [c149]Annett Ungethüm, Lennart Schmidt, Johannes Pietrzyk, Dirk Habich, Wolfgang Lehner:
Mastering the NEC Vector Engine Accelerator for Analytical Query Processing. ICDE Workshops 2021: 60-65 - [c148]Florentin Dörre, Alexander Krause, Dirk Habich, Martin Junghanns:
A GraphBLAS implementation in pure Java. GRADES-NDA@SIGMOD 2021: 5:1-5:9 - [c147]Mikhail Zarubin, Patrick Damme, Alexander Krause, Dirk Habich, Wolfgang Lehner:
SIMD-MIMD cocktail in a hybrid memory glass: shaken, not stirred. SYSTOR 2021: 17:1-17:12 - 2020
- [j15]Patrick Damme, Annett Ungethüm, Johannes Pietrzyk, Alexander Krause, Dirk Habich, Wolfgang Lehner:
MorphStore: Analytical Query Engine with a Holistic Compression-Enabled Processing Model. Proc. VLDB Endow. 13(11): 2396-2410 (2020) - [j14]Mikhail Zarubin, Thomas Kissinger, Dirk Habich, Thomas Willhalm, Wolfgang Lehner:
Efficient compute node-local replication mechanisms for NVRAM-centric data structures. VLDB J. 29(2-3): 775-795 (2020) - [c146]Annett Ungethüm, Johannes Pietrzyk, Patrick Damme, Alexander Krause, Dirk Habich, Wolfgang Lehner, Erich Focht:
Hardware-Oblivious SIMD Parallelism for In-Memory Column-Stores. CIDR 2020 - [c145]Johannes Pietrzyk, Dirk Habich, Wolfgang Lehner:
To share or not to share vector registers? DaMoN 2020: 12:1-12:10 - [c144]Juliana Hildebrandt, Dirk Habich, Wolfgang Lehner:
Integrating Lightweight Compression Capabilities into Apache Arrow. DATA 2020: 55-66 - [c143]Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
Best of both worlds: combining traditional and machine learning models for cardinality estimation. aiDM@SIGMOD 2020: 4:1-4:8 - [c142]Mikhail Zarubin, Patrick Damme, Dirk Habich, Wolfgang Lehner:
Polymorphic Compressed Replication of Columnar Data in Scale-Up Hybrid Memory Systems. SYSTOR 2020: 98-110 - [c141]Alexander Krause, Dirk Habich, Wolfgang Lehner:
Scalable In-Memory Graph Pattern Matching on Symmetric Multiprocessor Systems. SFDI/LSGDA@VLDB 2020: 49-62 - [i3]Patrick Damme, Annett Ungethüm, Johannes Pietrzyk, Alexander Krause, Dirk Habich, Wolfgang Lehner:
MorphStore: Analytical Query Engine with a Holistic Compression-Enabled Processing Model. CoRR abs/2004.09350 (2020) - [i2]Lucas Woltmann, Claudio Hartmann, Dirk Habich, Wolfgang Lehner:
Machine Learning-based Cardinality Estimation in DBMS on Pre-Aggregated Data. CoRR abs/2005.09367 (2020)
2010 – 2019
- 2019
- [j13]Johannes Pietrzyk, Dirk Habich, Patrick Damme, Erich Focht, Wolfgang Lehner:
Evaluating the Vector Supercomputer SX-Aurora TSUBASA as a Co-Processor for In-Memory Database Systems. Datenbank-Spektrum 19(3): 183-197 (2019) - [j12]Claudio Hartmann, Franziska Ressel, Martin Hahmann, Dirk Habich, Wolfgang Lehner:
CSAR: the cross-sectional autoregression model for short and long-range forecasting. Int. J. Data Sci. Anal. 8(2): 165-181 (2019) - [j11]Patrick Damme, Annett Ungethüm, Juliana Hildebrandt, Dirk Habich, Wolfgang Lehner:
From a Comprehensive Experimental Survey to a Cost-based Selection Strategy for Lightweight Integer Compression Algorithms. ACM Trans. Database Syst. 44(3): 9:1-9:46 (2019) - [c140]Johannes Luong, Dirk Habich, Wolfgang Lehner:
DataCalc: Ad-hoc Analyses on Heterogeneous Data Sources. IEEE BigData 2019: 463-468 - [c139]Johannes Luong, Dirk Habich, Wolfgang Lehner:
A Technical Perspective of DataCalc - Ad-hoc Analyses on Heterogeneous Data Sources. IEEE BigData 2019: 3864-3873 - [c138]David Broneske, Dirk Habich:
1st Workshop on Novel Data Management Ideas on Heterogeneous (Co-)Processors (NoDMC). BTW (Workshops) 2019: 23-25 - [c137]Johannes Pietrzyk, Dirk Habich, Patrick Damme, Wolfgang Lehner:
First Investigations of the Vector Supercomputer SX-Aurora TSUBASA as a Co-Processor for Database Systems. BTW (Workshops) 2019: 33-50 - [c136]Johannes Pietrzyk, Annett Ungethüm, Dirk Habich, Wolfgang Lehner:
Fighting the Duplicates in Hashing: Conflict Detection-aware Vectorization of Linear Probing. BTW 2019: 35-53 - [c135]Alexander Krause, Annett Ungethüm, Thomas Kissinger, Dirk Habich, Wolfgang Lehner:
NeMeSys - Energy Adaptive Graph Pattern Matching on NUMA-based Multiprocessor Systems. BTW 2019: 537-541 - [c134]Mikhail Zarubin, Patrick Damme, Thomas Kissinger, Dirk Habich, Wolfgang Lehner, Thomas Willhalm:
Integer Compression in NVRAM-centric Data Stores: Comparative Experimental Analysis to DRAM. DaMoN 2019: 11:1-11:11 - [c133]Alexander Krause, Frank Ebner, Dirk Habich, Wolfgang Lehner:
Trading Memory versus Workload Overhead in Graph Pattern Matching on Multiprocessor Systems. DATA 2019: 400-407 - [c132]Nusrat Jahan Lisa, Tuan Duy Anh Nguyen, Dirk Habich, Akash Kumar, Wolfgang Lehner:
High-Throughput BitPacking Compression. DSD 2019: 643-646 - [c131]Dirk Habich:
MorphStore - From an Idea to a Novel In-Memory Column Store Database System. Grundlagen von Datenbanken 2019: 2 - [c130]Lucas Woltmann, Claudio Hartmann, Maik Thiele, Dirk Habich, Wolfgang Lehner:
Cardinality estimation with local deep learning models. aiDM@SIGMOD 2019: 5:1-5:8 - [c129]Dirk Habich, Patrick Damme, Annett Ungethüm, Johannes Pietrzyk, Alexander Krause, Juliana Hildebrandt, Wolfgang Lehner:
MorphStore - In-Memory Query Processing based on Morphing Compressed Intermediates LIVE. SIGMOD Conference 2019: 1917-1920 - [c128]Alexander Krause, Thomas Kissinger, Dirk Habich, Wolfgang Lehner:
NeMeSys - A Showcase of Data Oriented Near Memory Graph Processing. SIGMOD Conference 2019: 1945-1948 - 2018
- [j10]Wolfgang Lehner, Annett Ungethüm, Dirk Habich:
Diversity of Processing Units - An Attempt to Classify the Plethora of Modern Processing Units. Datenbank-Spektrum 18(1): 57-62 (2018) - [j9]Jerónimo Castrillón, Matthias Lieber, Sascha Klüppelholz, Marcus Völp, Nils Asmussen, Uwe Aßmann, Franz Baader, Christel Baier, Gerhard P. Fettweis, Jochen Fröhlich, Andrés Goens, Sebastian Haas, Dirk Habich, Hermann Härtig, Mattis Hasler, Immo Huismann, Tomas Karnagel, Sven Karol, Akash Kumar, Wolfgang Lehner, Linda Leuschner, Siqi Ling, Steffen Märcker, Christian Menard, Johannes Mey, Wolfgang E. Nagel, Benedikt Nöthen, Rafael Peñaloza, Michael Raitza, Jörg Stiller, Annett Ungethüm, Axel Voigt, Sascha Wunderlich:
A Hardware/Software Stack for Heterogeneous Systems. IEEE Trans. Multi Scale Comput. Syst. 4(3): 243-259 (2018) - [c127]Mikhail Zarubin, Thomas Kissinger, Dirk Habich, Wolfgang Lehner:
Efficient compute node-local replication mechanisms for NVRAM-centric data structures. DaMoN 2018: 7:1-7:9 - [c126]Nusrat Jahan Lisa, Annett Ungethüm, Dirk Habich, Wolfgang Lehner, Tuan Duy Anh Nguyen, Akash Kumar:
FPGA vs. SIMD: Comparison for Main Memory-Based Fast Column Scan. DATA (Revised Selected Papers) 2018: 116-140 - [c125]Nusrat Jahan Lisa, Annett Ungethüm, Dirk Habich, Tuan D. A. Nguyen, Akash Kumar, Wolfgang Lehner:
Column Scan Optimization by Increasing Intra-Instruction Parallelism. DATA 2018: 344-353 - [c124]Dirk Habich, Till Kolditz, Juliana Hildebrandt, Wolfgang Lehner:
Reliable In-Memory Data Management on Unreliable Hardware. DATA 2018: 365-372 - [c123]Johannes Luong, Dirk Habich, Wolfgang Lehner:
Design of a Portable Programming Abstraction for Data Transformations. DATA 2018: 400-408 - [c122]Johannes Pietrzyk, Annett Ungethüm, Dirk Habich, Wolfgang Lehner:
Beyond Straightforward Vectorization of Lightweight Data Compression Algorithms for Larger Vector Sizes. Grundlagen von Datenbanken 2018: 71-76 - [c121]Annett Ungethüm, Johannes Pietrzyk, Patrick Damme, Dirk Habich, Wolfgang Lehner:
Conflict Detection-Based Run-Length Encoding - AVX-512 CD Instruction Set in Action. ICDE Workshops 2018: 96-101 - [c120]Wolfgang Lehner, Dirk Habich, Till Kolditz:
Teaching In-Memory Database Systems the Detection of Hardware Errors. ICDE 2018: 1663 - [c119]Juliana Hildebrandt, Till Kolditz, Dirk Habich, Wolfgang Lehner:
Lower Bound-oriented Parameter Calculation for AN Coding. ISITA 2018: 590-594 - [c118]Dirk Habich, Patrick Damme, Annett Ungethüm, Wolfgang Lehner:
Make Larger Vector Register Sizes New Challenges?: Lessons Learned from the Area of Vectorized Lightweight Compression Algorithms. DBTest@SIGMOD 2018: 8:1-8:6 - [c117]Thomas Kissinger, Dirk Habich, Wolfgang Lehner:
Adaptive Energy-Control for In-Memory Database Systems. SIGMOD Conference 2018: 351-364 - [c116]Till Kolditz, Dirk Habich, Wolfgang Lehner, Matthias Werner, Stefan T. J. de Bruijn:
AHEAD: Adaptable Data Hardening for On-the-Fly Hardware Error Detection during Database Query Processing. SIGMOD Conference 2018: 1619-1634 - [c115]Thomas Kissinger, Marcus Hähnel, Till Smejkal, Dirk Habich, Hermann Härtig, Wolfgang Lehner:
Energy-Utility Function-Based Resource Control for In-Memory Database Systems LIVE. SIGMOD Conference 2018: 1717-1720 - [c114]Nusrat Jahan Lisa, Annett Ungethüm, Dirk Habich, Wolfgang Lehner, Tuan D. A. Nguyen, Akash Kumar:
Column Scan Acceleration in Hybrid CPU-FPGA Systems. ADMS@VLDB 2018: 22-33 - 2017
- [j8]Tomas Karnagel, Dirk Habich:
Heterogeneous placement optimization for database query processing. it Inf. Technol. 59(3): 117 (2017) - [j7]Tomas Karnagel, Dirk Habich, Wolfgang Lehner:
Adaptive Work Placement for Query Processing on Heterogeneous Computing Resources. Proc. VLDB Endow. 10(7): 733-744 (2017) - [c113]Annett Ungethüm, Patrick Damme, Johannes Pietrzyk, Alexander Krause, Dirk Habich, Wolfgang Lehner:
Balancing Performance and Energy for Lightweight Data Compression Algorithms. ADBIS (Short Papers and Workshops) 2017: 37-44 - [c112]Alexander Krause, Annett Ungethüm, Thomas Kissinger, Dirk Habich, Wolfgang Lehner:
Asynchronous Graph Pattern Matching on Multiprocessor Systems. ADBIS (Short Papers and Workshops) 2017: 45-53 - [c111]Annett Ungethüm, Dirk Habich, Tomas Karnagel, Sebastian Haas, Eric Mier, Gerhard P. Fettweis, Wolfgang Lehner:
Overview on Hardware Optimizations for Database Engines. BTW 2017: 383-402 - [c110]Annett Ungethüm, Thomas Kissinger, Willi-Wolfram Mentzel, Eric Mier, Dirk Habich, Wolfgang Lehner:
Energy Elasticity on Heterogeneous Hardware using Adaptive Resource Reconfiguration. BTW 2017: 615 - [c109]Tomas Karnagel, Tal Ben-Nun, Matthias Werner, Dirk Habich, Wolfgang Lehner:
Big data causing big (TLB) problems: taming random memory accesses on the GPU. DaMoN 2017: 6:1-6:10 - [c108]Johannes Luong, Dirk Habich, Wolfgang Lehner:
AL: unified analytics in domain specific terms. DBPL 2017: 7:1-7:9 - [c107]Claudio Hartmann, Martin Hahmann, Dirk Habich, Wolfgang Lehner:
CSAR: The Cross-Sectional Autoregression Model. DSAA 2017: 232-241 - [c106]Patrick Damme, Dirk Habich, Juliana Hildebrandt, Wolfgang Lehner:
Lightweight Data Compression Algorithms: An Experimental Survey (Experiments and Analyses). EDBT 2017: 72-83 - [c105]Patrick Damme, Dirk Habich, Juliana Hildebrandt, Wolfgang Lehner:
Insights into the Comparative Evaluation of Lightweight Data Compression Algorithms. EDBT 2017: 562-565 - [c104]Juliana Hildebrandt, Dirk Habich, Thomas Kühn, Patrick Damme, Wolfgang Lehner:
Metamodeling Lightweight Data Compression Algorithms and its Application Scenarios. ER Forum/Demos 2017: 128-141 - [c103]Alexander Krause, Thomas Kissinger, Dirk Habich, Hannes Voigt, Wolfgang Lehner:
Partitioning Strategy Selection for In-Memory Graph Pattern Matching on Multiprocessor Systems. Euro-Par 2017: 149-163 - [c102]Dirk Habich, Sebastian Götz:
KASDL - Kontext-adaptive Software in Digitalen Lebenswelten. GI-Jahrestagung 2017: 1589 - [c101]Markus Dreseler, Thomas Kissinger, Timo Djürken, Eric Lübke, Matthias Uflacker, Dirk Habich, Hasso Plattner, Wolfgang Lehner:
Hardware-Accelerated Memory Operations on Large-Scale NUMA Systems. ADMS@VLDB 2017: 34-41 - [i1]Alexander Krause, Annett Ungethüm, Thomas Kissinger, Dirk Habich, Wolfgang Lehner:
Asynchronous Graph Pattern Matching on Multiprocessor Systems. CoRR abs/1706.03968 (2017) - 2016
- [j6]Alvaro Aguilera, Richard Grunzke, Dirk Habich, Johannes Luong, Dirk Schollbach, Ulf Markwardt, Jochen Garcke:
Advancing a Gateway Infrastructure for Wind Turbine Data Analysis. J. Grid Comput. 14(4): 499-514 (2016) - [j5]Martin Hahmann, Claudio Hartmann, Lars Kegel, Dirk Habich, Wolfgang Lehner:
Big by blocks: modular analytics. it Inf. Technol. 58(4): 176-185 (2016) - [c100]Tomas Karnagel, Dirk Habich, Wolfgang Lehner:
Limitations of Intra-operator Parallelism Using Heterogeneous Computing Resources. ADBIS 2016: 291-305 - [c99]Tim Kiefer, Dirk Habich, Wolfgang Lehner:
Penalized graph partitioning based allocation strategy for database-as-a-service systems. BDCAT 2016: 200-209 - [c98]Johannes Luong, Dirk Habich, Thomas Kissinger, Wolfgang Lehner:
Towards Efficient Multi-domain Data Processing. DATA (Revised Selected Papers) 2016: 47-64 - [c97]Johannes Luong, Dirk Habich, Thomas Kissinger, Wolfgang Lehner:
Architecture of a Multi-domain Processing and Storage Engine. DATA 2016: 189-194 - [c96]Juliana Hildebrandt, Dirk Habich, Patrick Damme, Wolfgang Lehner:
Model Kit for Lightweight Data Compression Algorithms. EDBT 2016: 692-693 - [c95]Tim Kiefer, Dirk Habich, Wolfgang Lehner:
Penalized Graph Partitioning for Static and Dynamic Load Balancing. Euro-Par 2016: 146-158 - [c94]Juliana Hildebrandt, Dirk Habich, Wolfgang Lehner:
Model-Driven Integration of Compression Algorithms in Column-Store Database Systems. LWDA 2016: 30-41 - [c93]Annett Ungethüm, Thomas Kissinger, Willi-Wolfram Mentzel, Dirk Habich, Wolfgang Lehner:
Energy Elasticity on Heterogeneous Hardware using Adaptive Resource Reconfiguration LIVE. SIGMOD Conference 2016: 2173-2176 - [c92]Annett Ungethüm, Thomas Kissinger, Dirk Habich, Wolfgang Lehner:
Work-Energy Profiles: General Approach and In-Memory Database Application. TPCTC 2016: 142-158 - [c91]Juliana Hildebrandt, Dirk Habich, Patrick Damme, Wolfgang Lehner:
Compression-Aware In-Memory Query Processing: Vision, System Design and Beyond. ADMS/IMDM@VLDB 2016: 40-56 - 2015
- [c90]Patrick Damme, Dirk Habich, Wolfgang Lehner:
Direct Transformation Techniques for Compressed Data: General Approach and Application Scenarios. ADBIS 2015: 151-165 - [c89]Dirk Habich, Patrick Damme, Wolfgang Lehner:
Optimierung der Anfrageverarbeitung mittels Kompression der Zwischenergebnisse. BTW 2015: 259-278 - [c88]Carl-Philip Hänsch, Thomas Kissinger, Dirk Habich, Wolfgang Lehner:
Plan Operator Specialization using Reflective Compiler Techniques. BTW 2015: 363-382 - [c87]