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André Luckow
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2020 – today
- 2024
- [j10]Yuri Alexeev, Maximilian Amsler, Marco Antonio Barroca, Sanzio Bassini, Torey Battelle, Daan Camps, David Casanova, Young Jay Choi, Frederic T. Chong, Charles Chung, Christopher Codella, Antonio D. Córcoles, James Cruise, Alberto Di Meglio, Ivan Duran, Thomas Eckl, Sophia E. Economou, Stephan J. Eidenbenz, Bruce Elmegreen, Clyde Fare, Ismael Faro, Cristina Sanz Fernández, Rodrigo Neumann Barros Ferreira
, Keisuke Fuji, Bryce Fuller, Laura Gagliardi, Giulia Galli, Jennifer R. Glick, Isacco Gobbi, Pranav Gokhale, Salvador de la Puente Gonzalez, Johannes Greiner, Bill Gropp, Michele Grossi, Emanuel Gull, Burns Healy, Matthew R. Hermes
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. Future Gener. Comput. Syst. 160: 666-710 (2024) - [c43]Hyerim Park
"We Are Visual Thinkers, Not Verbal Thinkers!": A Thematic Analysis of How Professional Designers Use Generative AI Image Generation Tools. NordiCHI 2024: 35:1-35:14 - [i25]Josef Pichlmeier, Philipp Ross, André Luckow:
Expert Router: Orchestrating Efficient Language Model Inference through Prompt Classification. CoRR abs/2404.15153 (2024) - [i24]Nishant Saurabh, Pradeep Kumar Mantha, Florian J. Kiwit, Shantenu Jha, André Luckow:
Quantum Mini-Apps: A Framework for Developing and Benchmarking Quantum-HPC Applications. CoRR abs/2405.07333 (2024) - 2023
- [c42]Chafic Abou Akar, André Luckow, Ahmad Obeid
Enhancing Complex Image Synthesis with Conditional Generative Models and Rule Extraction. ICMLA 2023: 136-143 - [c41]Florian J. Kiwit, Marwa Marso, Philipp Ross, Carlos A. Riofrío, Johannes Klepsch, André Luckow:
Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK. QCE 2023: 475-484 - [c40]Nishant Saurabh, Shantenu Jha, André Luckow
A Conceptual Architecture for a Quantum-HPC Middleware. QSW 2023: 116-127 - [i23]Florian J. Kiwit, Marwa Marso, Philipp Ross, Carlos A. Riofrío, Johannes Klepsch, André Luckow:
Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK. CoRR abs/2308.04082 (2023) - [i22]Nishant Saurabh
A Conceptual Architecture for a Quantum-HPC Middleware. CoRR abs/2308.06608 (2023) - 2022
- [j9]Tobias Guggenberger
An in-depth investigation of the performance characteristics of Hyperledger Fabric. Comput. Ind. Eng. 173: 108716 (2022) - [j8]Gonzalo Munilla Garrido
Revealing the landscape of privacy-enhancing technologies in the context of data markets for the IoT: A systematic literature review. J. Netw. Comput. Appl. 207: 103465 (2022) - [c39]Jernej Rudi Finzgar, Philipp Ross
QUARK: A Framework for Quantum Computing Application Benchmarking. QCE 2022: 226-237 - [c38]Christopher Harth-Kitzerow, Georg Carle, Fan Fei, André Luckow
CRGC: A Practical Framework for Constructing Reusable Garbled Circuits. SECRYPT 2022: 83-95 - [i21]Jernej Rudi Finzgar, Philipp Ross, Johannes Klepsch, André Luckow:
QUARK: A Framework for Quantum Computing Application Benchmarking. CoRR abs/2202.03028 (2022) - [i20]Christopher Harth-Kitzerow, Georg Carle, Fan Fei, André Luckow, Johannes Klepsch:
CRGC - A Practical Framework for Constructing Reusable Garbled Circuits. CoRR abs/2203.12646 (2022) - [i19]Martin J. A. Schuetz, John Kyle Brubaker, Henry Montagu, Yannick van Dijk, Johannes Klepsch, Philipp Ross, André Luckow, Mauricio G. C. Resende, Helmut G. Katzgraber:
Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms. CoRR abs/2206.03651 (2022) - [i18]Gonzalo Munilla Garrido, Kaja Schmidt, Christopher Harth-Kitzerow, Johannes Klepsch, André Luckow, Florian Matthes
Exploring privacy-enhancing technologies in the automotive value chain. CoRR abs/2209.05085 (2022) - 2021
- [j7]Ali Sunyaev
Token Economy. Bus. Inf. Syst. Eng. 63(4): 457-478 (2021) - [c37]Gonzalo Munilla Garrido, Kaja Schmidt
Exploring privacy-enhancing technologies in the automotive value chain. IEEE BigData 2021: 1265-1272 - [c36]Johannes Sedlmeir, Philipp Ross, André Luckow, Jannik Lockl, Daniel Miehle, Gilbert Fridgen:
The DLPS: A New Framework for Benchmarking Blockchains. HICSS 2021: 1-10 - [c35]André Luckow
Exploring Task Placement for Edge-to-Cloud Applications using Emulation. ICFEC 2021: 79-83 - [c34]André Luckow
Pilot-Edge: Distributed Resource Management Along the Edge-to-Cloud Continuum. IPDPS Workshops 2021: 874-878 - [i17]Tobias Guggenberger, Johannes Sedlmeir
An In-Depth Investigation of Performance Characteristics of Hyperledger Fabric. CoRR abs/2102.07731 (2021) - [i16]André Luckow, Johannes Klepsch, Josef Pichlmeier:
Quantum Computing: Towards Industry Reference Problems. CoRR abs/2103.07433 (2021) - [i15]André Luckow, Kartik Rattan, Shantenu Jha:
Exploring Task Placement for Edge-to-Cloud Applications using Emulation. CoRR abs/2104.03368 (2021) - [i14]André Luckow, Kartik Rattan, Shantenu Jha:
Pilot-Edge: Distributed Resource Management Along the Edge-to-Cloud Continuum. CoRR abs/2104.03374 (2021) - [i13]Gonzalo Munilla Garrido, Johannes Sedlmeir
Revealing the Landscape of Privacy-Enhancing Technologies in the Context of Data Markets for the IoT: A Systematic Literature Review. CoRR abs/2107.11905 (2021) - 2020
- [j6]Aishwarya Srivastava
Deployment of a cloud pipeline for real-time visual inspection using fast streaming high-definition images. Softw. Pract. Exp. 50(6): 868-898 (2020) - [c33]Ivan Gudymenko, Asadullah Khalid, Hira Siddiqui, Mujtaba Idrees, Sebastian Clauß, André Luckow
Privacy-preserving Blockchain-based Systems for Car Sharing Leveraging Zero-Knowledge Protocols. DAPPS 2020: 114-119 - [c32]André Luckow
Methods and Experiences for Developing Abstractions for Data-intensive, Scientific Applications. IPDPS Workshops 2020: 636-645 - [i12]André Luckow, Shantenu Jha:
Methods and Experiences for Developing Abstractions for Data-intensive, Scientific Applications. CoRR abs/2002.09009 (2020)
2010 – 2019
- 2019
- [c31]Philipp Ross
EdgeInsight: Characterizing and Modeling the Performance of Machine Learning Inference on the Edge and Cloud. IEEE BigData 2019: 1897-1906 - [c30]André Luckow, Shantenu Jha
Performance Characterization and Modeling of Serverless and HPC Streaming Applications. IEEE BigData 2019: 5688-5696 - [c29]Daniel Miehle, Matthias M. Meyer
Toward a Decentralized Marketplace for Self-Maintaining Machines. Blockchain 2019: 431-438 - [c28]Daniel Miehle, Dominic Henze, Andreas Seitz, André Luckow
PartChain: A Decentralized Traceability Application for Multi-Tier Supply Chain Networks in the Automotive Industry. DAPPCON 2019: 140-145 - [i11]André Luckow, Shantenu Jha:
Performance Characterization and Modeling of Serverless and HPC Streaming Applications. CoRR abs/1909.06055 (2019) - 2018
- [j5]Yuheng Du, Mashrur Chowdhury, Mizanur Rahman
A Distributed Message Delivery Infrastructure for Connected Vehicle Technology Applications. IEEE Trans. Intell. Transp. Syst. 19(3): 787-801 (2018) - [c27]André Luckow, Ken Kennedy, Marcin Ziolkowski, Emil Djerekarov, Matthew Cook, Edward B. Duffy, Michael Schleiss, Bennie Vorster, Edwin Weill, Ankit Kulshrestha, Melissa C. Smith:
Artificial Intelligence and Deep Learning Applications for Automotive Manufacturing. IEEE BigData 2018: 3144-3152 - [c26]Aishwarya Srivastava, Dung Nguyen, Siddhant Aggarwal, André Luckow, Edward B. Duffy, Ken Kennedy, Marcin Ziolkowski, Amy W. Apon:
Performance and Memory Trade-offs of Deep Learning Object Detection in Fast Streaming High-Definition Images. IEEE BigData 2018: 3915-3924 - [c25]Dung Nguyen, André Luckow
Evaluation of Highly Available Cloud Streaming Systems for Performance and Price. CCGrid 2018: 360-363 - [c24]Georgios Chantzialexiou, André Luckow
Pilot-Streaming: A Stream Processing Framework for High-Performance Computing. eScience 2018: 177-188 - [c23]Ioannis Paraskevakos, André Luckow
Task-parallel Analysis of Molecular Dynamics Trajectories. ICPP 2018: 49:1-49:10 - [i10]Ioannis Paraskevakos, André Luckow, George Chantzialexiou, Mahzad Khoshlessan, Oliver Beckstein, Geoffrey C. Fox, Shantenu Jha:
Task-parallel Analysis of Molecular Dynamics Trajectories. CoRR abs/1801.07630 (2018) - [i9]André Luckow, George Chantzialexiou, Shantenu Jha:
Pilot-Streaming: A Stream Processing Framework for High-Performance Computing. CoRR abs/1801.08648 (2018) - 2017
- [j4]Shantenu Jha
Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure. Concurr. Comput. Pract. Exp. 29(8) (2017) - [c22]S. Alireza Fayazi, Ardalan Vahidi, André Luckow:
Optimal scheduling of autonomous vehicle arrivals at intelligent intersections via MILP. ACC 2017: 4920-4925 - [c21]Yuheng Du, Alexander Herzog, André Luckow, Ramu Nerella, Christopher Gropp, Amy W. Apon:
Representativeness of latent dirichlet allocation topics estimated from data samples with application to common crawl. IEEE BigData 2017: 1418-1427 - [c20]Ehsan Sadrfaridpour, Sandeep Jeereddy, Ken Kennedy, André Luckow, Talayeh Razzaghi, Ilya Safro:
Algebraic multigrid support vector machines. ESANN 2017 - [i8]André Luckow, Matthew Cook, Nathan Ashcraft, Edwin Weill, Emil Djerekarov, Bennie Vorster:
Deep Learning in the Automotive Industry: Applications and Tools. CoRR abs/1705.00346 (2017) - 2016
- [c19]André Luckow, Matthew Cook, Nathan Ashcraft, Edwin Weill, Emil Djerekarov, Bennie Vorster:
Deep learning in the automotive industry: Applications and tools. IEEE BigData 2016: 3759-3768 - [c18]André Luckow
Hadoop on HPC: Integrating Hadoop and Pilot-Based Dynamic Resource Management. IPDPS Workshops 2016: 1607-1616 - [i7]André Luckow, Ioannis Paraskevakos, George Chantzialexiou, Shantenu Jha:
Hadoop on HPC: Integrating Hadoop and Pilot-based Dynamic Resource Management. CoRR abs/1602.00345 (2016) - [i6]Shantenu Jha, Daniel S. Katz, André Luckow, Omer F. Rana, Yogesh Simmhan, Neil P. Chue Hong:
Introducing Distributed Dynamic Data-intensive (D3) Science: Understanding Applications and Infrastructure. CoRR abs/1609.03647 (2016) - [i5]Ehsan Sadrfaridpour
Algebraic multigrid support vector machines. CoRR abs/1611.05487 (2016) - 2015
- [j3]André Luckow
Pilot-Data: An abstraction for distributed data. J. Parallel Distributed Comput. 79-80: 16-30 (2015) - [c17]André Luckow, Ken Kennedy, Fabian Manhardt
Automotive big data: Applications, workloads and infrastructures. IEEE BigData 2015: 1201-1210 - [c16]Geoffrey C. Fox, Judy Qiu, Supun Kamburugamuve, Shantenu Jha
HPC-ABDS High Performance Computing Enhanced Apache Big Data Stack. CCGRID 2015: 1057-1066 - [c15]Mei Liang, Cesar Trejo, Lavanya Muthu, Linh Bao Ngo, André Luckow
Evaluating R-Based Big Data Analytic Frameworks. CLUSTER 2015: 508-509 - [i4]André Luckow, Pradeep Kumar Mantha, Shantenu Jha:
Pilot-Abstraction: A Valid Abstraction for Data-Intensive Applications on HPC, Hadoop and Cloud Infrastructures? CoRR abs/1501.05041 (2015) - 2014
- [c14]Shantenu Jha
A Tale of Two Data-Intensive Paradigms: Applications, Abstractions, and Architectures. BigData Congress 2014: 645-652 - [c13]Jason W. Anderson, Ken E. Kennedy, Linh Bao Ngo, André Luckow, Amy W. Apon:
Synthetic data generation for the internet of things. IEEE BigData 2014: 171-176 - [c12]Geoffrey C. Fox, Shantenu Jha
Towards a Comprehensive Set of Big Data Benchmarks. High Performance Computing Workshop 2014: 47-66 - [i3]Shantenu Jha, Judy Qiu, André Luckow, Pradeep Kumar Mantha, Geoffrey Charles Fox:
A Tale of Two Data-Intensive Paradigms: Applications, Abstractions, and Architectures. CoRR abs/1403.1528 (2014) - 2013
- [c11]Mark Santcroos, Barbera D. C. van Schaik
Exploring Dynamic Enactment of Scientific Workflows Using Pilot-Abstractions. CCGRID 2013: 311-318 - [i2]André Luckow, Mark Santcroos, Ole Weidner, Ashley Zebrowski, Shantenu Jha:
Pilot-Data: An Abstraction for Distributed Data. CoRR abs/1301.6228 (2013) - 2012
- [j2]Feng Liang, Shilong Ma, André Luckow
Advance Reservation-based Computational Resource Brokering using Earliest Start Time Estimation. J. Comput. 7(6): 1329-1336 (2012) - [c10]André Luckow, Mark Santcroos, André Merzky, Ole Weidner, Pradeep Kumar Mantha, Shantenu Jha
P∗: A model of pilot-abstractions. eScience 2012: 1-10 - [c9]André Luckow, Mark Santcroos, Ole Weidner, André Merzky, Sharath Maddineni, Shantenu Jha
Towards a common model for pilot-jobs. HPDC 2012: 123-124 - [i1]André Luckow, Mark Santcroos, Ole Weidner, André Merzky
P*: A Model of Pilot-Abstractions. CoRR abs/1207.6644 (2012) - 2010
- [c8]André Luckow, Lukasz Lacinski, Shantenu Jha
SAGA BigJob: An Extensible and Interoperable Pilot-Job Abstraction for Distributed Applications and Systems. CCGRID 2010: 135-144 - [c7]André Luckow, Shantenu Jha
Abstractions for Loosely-Coupled and Ensemble-Based Simulations on Azure. CloudCom 2010: 550-556 - [c6]Feng Liang, Shilong Ma, André Luckow, Bettina Schnor:
Earliest Start Time Estimation for Advance Reservation-Based Resource Brokering within Computational Grids. ISPA 2010: 8-15
2000 – 2009
- 2009
- [b1]André Luckow:
A dependable middleware for enhancing the fault tolerance of distributed computations in grid environments. University of Potsdam, Germany, Shaker 2009, ISBN 978-3-8322-9124-2, pp. 1-235 - 2008
- [j1]André Luckow
Migol: A fault-tolerant service framework for MPI applications in the grid. Future Gener. Comput. Syst. 24(2): 142-152 (2008) - [c5]André Luckow, Shantenu Jha
Distributed Replica-Exchange Simulations on Production Environments Using SAGA and Migol. eScience 2008: 253-260 - [c4]André Luckow, Bettina Schnor:
Service replication in Grids: Ensuring consistency in a dynamic, failure-prone environment. IPDPS 2008: 1-7 - [c3]André Luckow, Bettina Schnor:
Adaptive Checkpoint Replication for Supporting the Fault Tolerance of Applications in the Grid. NCA 2008: 299-306 - 2006
- [c2]Nicole Hallama, André Luckow, Bettina Schnor:
Grid Security for Fault Tolerant Grid Applications. PDCS 2006: 76-83 - 2005
- [c1]André Luckow, Bettina Schnor:
Migol: A Fault-Tolerant Service Framework for MPI Applications in the Grid. PVM/MPI 2005: 258-267
Coauthor Index
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last updated on 2024-12-10 20:45 CET by the dblp team
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