André Luckow

95 papers A* 1A 3B 9C 7Misc 5Journal 41Unranked 28
YearRankTypeTitle / Venue / Authors
2026 A conf
Enhancing Generative AI Image Refinement with Scribbles and Annotations: A Comparative Study of Multimodal Prompts.
IUI
Hyerim Park, Phuong Thao Tran, André Luckow, Ceenu George, Michael Sedlmair, Malin Eiband
2026 J jnl
Enhancing Generative AI Image Refinement with Scribbles and Annotations: A Comparative Study of Multimodal Prompts.
CoRR
Hyerim Park, Phuong Thao Tran, André Luckow, Ceenu George, Michael Sedlmair, Malin Eiband
2026 A* conf
Interaction Methods in Generative AI Image Tools: A Review of Trends and Design Opportunities Across HCI and Industry.
CHI
Hyerim Park, Malin Eiband, André Luckow, Michael Sedlmair
2026 — conf
What the Router Sees Matters: Funnel Pooling for Fast, Content Driven Expert Routing.
EACL (Student Research Workshop)
Josef Pichlmeier, Sebastian Nicolas Mueller, Jakob Sturm, Josef Dräxl, André Luckow
2025 — conf
Compositional Execution Motifs for Quantum-HPC Systems.
IPDPS (Workshops)
Nishant Saurabh, Pradeep Kumar Mantha, Shantenu Jha, André Luckow
2025 — conf
Design and Evaluation of a Generative AI-Driven VR Texturing Tool: A Design Science Approach.
ECIS
Hyerim Park, Joscha Eirich, André Luckow, Michael Sedlmair
2025 — conf
Exploring Visual Prompts: Refining Images with Scribbles and Annotations in Generative AI Image Tools.
CHI Extended Abstracts
Hyerim Park, Malin Eiband, André Luckow, Michael Sedlmair
2025 J jnl
Exploring Visual Prompts: Refining Images with Scribbles and Annotations in Generative AI Image Tools.
CoRR
Hyerim Park, Malin Eiband, André Luckow, Michael Sedlmair
2024 Misc conf
"We Are Visual Thinkers, Not Verbal Thinkers!": A Thematic Analysis of How Professional Designers Use Generative AI Image Generation Tools.
NordiCHI
Hyerim Park, Joscha Eirich, André Luckow, Michael Sedlmair
2024 J jnl
A Characterization of Quantum Generative Models.
ACM Trans. Quantum Comput.
Carlos A. Riofrío, Oliver Mitevski, Caitlin Jones, Florian Krellner, Aleksandar Vuckovic, Joseph Doetsch, Johannes Klepsch, Thomas Ehmer, André Luckow
2024 Misc conf
Assessing the Requirements for Industry Relevant Quantum Computation.
QCE
Anna M. Krol, Marvin Erdmann, Ewan Munro, André Luckow, Zaid Al-Ars
2024 J jnl
Benchmarking Quantum Generative Learning: A Study on Scalability and Noise Resilience using QUARK.
Künstliche Intell.
Florian J. Kiwit, Maximilian A. Wolf, Marwa Marso, Philipp Ross, Jeanette Miriam Lorenz, Carlos A. Riofrío, André Luckow
2024 B conf
Domain-Aware LLM Routing During Generation.
IEEE Big Data
Josef Pichlmeier, Philipp Ross, André Luckow
2024 J jnl
Expert Router: Orchestrating Efficient Language Model Inference through Prompt Classification.
CoRR
Josef Pichlmeier, Philipp Ross, André Luckow
2024 B conf
Performance Characterization of Expert Router for Scalable LLM Inference.
IEEE Big Data
Josef Pichlmeier, Philipp Ross, André Luckow
2024 J jnl
Pilot-Quantum: A Quantum-HPC Middleware for Resource, Workload and Task Management.
CoRR
Pradeep Kumar Mantha, Florian J. Kiwit, Nishant Saurabh, Shantenu Jha, André Luckow
2024 J jnl
Quantum Computing for Automotive Applications: From Algorithms to Applications.
CoRR
Carlos A. Riofrío, Johannes Klepsch, Jernej Rudi Finzgar, Florian J. Kiwit, Leonhard Hölscher, Marvin Erdmann, Lukas Müller, Chandan Kumar, André Luckow
2024 J jnl
Quantum Mini-Apps: A Framework for Developing and Benchmarking Quantum-HPC Applications.
CoRR
Nishant Saurabh, Pradeep Kumar Mantha, Florian J. Kiwit, Shantenu Jha, André Luckow
2024 J jnl
Quantum-centric supercomputing for materials science: A perspective on challenges and future directions.
Future Gener. Comput. Syst.
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, Benchen Huang, Travis S. Humble, Nobuyasu Ito, Artur F. Izmaylov, Ali Javadi-Abhari, Douglas M. Jennewein, Shantenu Jha, Liang Jiang, Barbara Jones, Wibe Albert de Jong, Petar Jurcevic, William M. Kirby, Stefan Kister, Masahiro Kitagawa, Joel Klassen, Katherine Klymko, Kwangwon Koh, Masaaki Kondo, Doga Murat Kürkçüoglu, Krzysztof Kurowski, Teodoro Laino, Ryan Landfield, Matthew L. Leininger, Vicente Leyton-Ortega, Ang Li, Meifeng Lin, Junyu Liu, Nicolás Lorente, André Luckow, Simon Martiel, Francisco Martín-Fernández, Margaret Martonosi, Claire Marvinney, Arcesio Castañeda Medina, Dirk Merten, Antonio Mezzacapo, Kristel Michielsen, Abhishek Mitra, Tushar Mittal, Kyungsun Moon, Joel Moore, Sarah Mostame, Mario Motta, Young-Hye Na, Yunseong Nam, Prineha Narang, Yu-ya Ohnishi, Daniele Ottaviani, Matthew Otten, Scott Pakin, Vincent R. Pascuzzi, Edwin Pednault, Tomasz Piontek, Jed Pitera, Patrick Rall, Gokul Subramanian Ravi, Niall Robertson, Matteo A. C. Rossi, Piotr Rydlichowski, Hoon Ryu, Georgy Samsonidze, Mitsuhisa Sato, Nishant Saurabh, Vidushi Sharma, Kunal Sharma, Soyoung Shin, George Slessman, Mathias Steiner, Iskandar Sitdikov, In-Saeng Suh, Eric D. Switzer, Wei Tang, Joel Thompson, Synge Todo, Minh C. Tran, Dimitar Trenev, Christian Trott, Huan-Hsin Tseng, Norm M. Tubman, Esin Tureci, David García Valiñas, Sofia Vallecorsa, Christopher Wever, Konrad Wojciechowski, Xiaodi Wu, Shinjae Yoo, Nobuyuki Yoshioka, Victor Wen-zhe Yu, Seiji Yunoki, Sergiy Zhuk, Dmitry Zubarev
2024 — conf
Towards Application-Aware Quantum Circuit Compilation.
QSW
Nils Quetschlich, Florian J. Kiwit, Maximilian A. Wolf, Carlos A. Riofrío, Lukas Burgholzer, André Luckow, Robert Wille
2023 — conf
A Conceptual Architecture for a Quantum-HPC Middleware.
QSW
Nishant Saurabh, Shantenu Jha, André Luckow
2023 J jnl
A Conceptual Architecture for a Quantum-HPC Middleware.
CoRR
Nishant Saurabh, Shantenu Jha, André Luckow
2023 Misc conf
Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK.
QCE
Florian J. Kiwit, Marwa Marso, Philipp Ross, Carlos A. Riofrío, Johannes Klepsch, André Luckow
2023 J jnl
Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK.
CoRR
Florian J. Kiwit, Marwa Marso, Philipp Ross, Carlos A. Riofrío, Johannes Klepsch, André Luckow
2023 C conf
Enhancing Complex Image Synthesis with Conditional Generative Models and Rule Extraction.
ICMLA
Chafic Abou Akar, André Luckow, Ahmad Obeid, Christian Beddawi, Marc Kamradt, Abdallah Makhoul
2022 J jnl
An in-depth investigation of the performance characteristics of Hyperledger Fabric.
Comput. Ind. Eng.
Tobias Guggenberger, Johannes Sedlmeir, Gilbert Fridgen, André Luckow
2022 J jnl
CRGC - A Practical Framework for Constructing Reusable Garbled Circuits.
CoRR
Christopher Harth-Kitzerow, Georg Carle, Fan Fei, André Luckow, Johannes Klepsch
2022 C conf
CRGC: A Practical Framework for Constructing Reusable Garbled Circuits.
SECRYPT
Christopher Harth-Kitzerow, Georg Carle, Fan Fei, André Luckow, Johannes Klepsch
2022 J jnl
Exploring privacy-enhancing technologies in the automotive value chain.
CoRR
Gonzalo Munilla Garrido, Kaja Schmidt, Christopher Harth-Kitzerow, Johannes Klepsch, André Luckow, Florian Matthes
2022 J jnl
Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms.
CoRR
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
2022 Misc conf
QUARK: A Framework for Quantum Computing Application Benchmarking.
QCE
Jernej Rudi Finzgar, Philipp Ross, Leonhard Hölscher, Johannes Klepsch, André Luckow
2022 J jnl
QUARK: A Framework for Quantum Computing Application Benchmarking.
CoRR
Jernej Rudi Finzgar, Philipp Ross, Johannes Klepsch, André Luckow
2022 J jnl
Revealing the landscape of privacy-enhancing technologies in the context of data markets for the IoT: A systematic literature review.
J. Netw. Comput. Appl.
Gonzalo Munilla Garrido, Johannes Sedlmeir, Ömer Uludag, Ilias Soto Alaoui, André Luckow, Florian Matthes
2021 J jnl
An In-Depth Investigation of Performance Characteristics of Hyperledger Fabric.
CoRR
Tobias Guggenberger, Johannes Sedlmeir, Gilbert Fridgen, André Luckow
2021 C conf
Exploring Task Placement for Edge-to-Cloud Applications using Emulation.
ICFEC
André Luckow, Kartik Rattan, Shantenu Jha
2021 J jnl
Exploring Task Placement for Edge-to-Cloud Applications using Emulation.
CoRR
André Luckow, Kartik Rattan, Shantenu Jha
2021 — conf
Exploring privacy-enhancing technologies in the automotive value chain.
IEEE BigData
Gonzalo Munilla Garrido, Kaja Schmidt, Christopher Harth-Kitzerow, Johannes Klepsch, André Luckow, Florian Matthes
2021 — conf
Pilot-Edge: Distributed Resource Management Along the Edge-to-Cloud Continuum.
IPDPS Workshops
André Luckow, Kartik Rattan, Shantenu Jha
2021 J jnl
Pilot-Edge: Distributed Resource Management Along the Edge-to-Cloud Continuum.
CoRR
André Luckow, Kartik Rattan, Shantenu Jha
2021 J jnl
Quantum Computing: Towards Industry Reference Problems.
CoRR
André Luckow, Johannes Klepsch, Josef Pichlmeier
2021 J jnl
Revealing the Landscape of Privacy-Enhancing Technologies in the Context of Data Markets for the IoT: A Systematic Literature Review.
CoRR
Gonzalo Munilla Garrido, Johannes Sedlmeir, Ömer Uludag, Ilias Soto Alaoui, André Luckow, Florian Matthes
2021 — conf
The DLPS: A New Framework for Benchmarking Blockchains.
HICSS
Johannes Sedlmeir, Philipp Ross, André Luckow, Jannik Lockl, Daniel Miehle, Gilbert Fridgen
2021 J jnl
Token Economy.
Bus. Inf. Syst. Eng.
Ali Sunyaev, Niclas Kannengießer, Roman Beck, Horst Treiblmaier, Mary C. Lacity, Johann Kranz, Gilbert Fridgen, Ulli Spankowski, André Luckow
2020 J jnl
Deployment of a cloud pipeline for real-time visual inspection using fast streaming high-definition images.
Softw. Pract. Exp.
Aishwarya Srivastava, Siddhant Aggarwal, Amy W. Apon, Edward B. Duffy, Ken Kennedy, André Luckow, Brandon Posey, Marcin Ziolkowski
2020 — conf
Methods and Experiences for Developing Abstractions for Data-intensive, Scientific Applications.
IPDPS Workshops
André Luckow, Shantenu Jha
2020 J jnl
Methods and Experiences for Developing Abstractions for Data-intensive, Scientific Applications.
CoRR
André Luckow, Shantenu Jha
2020 — conf
Privacy-preserving Blockchain-based Systems for Car Sharing Leveraging Zero-Knowledge Protocols.
DAPPS
Ivan Gudymenko, Asadullah Khalid, Hira Siddiqui, Mujtaba Idrees, Sebastian Clauß, André Luckow, Manuel Bolsinger, Daniel Miehle
2019 — conf
EdgeInsight: Characterizing and Modeling the Performance of Machine Learning Inference on the Edge and Cloud.
IEEE BigData
Philipp Ross, André Luckow
2019 — conf
PartChain: A Decentralized Traceability Application for Multi-Tier Supply Chain Networks in the Automotive Industry.
DAPPCON
Daniel Miehle, Dominic Henze, Andreas Seitz, André Luckow, Bernd Bruegge
2019 — conf
Performance Characterization and Modeling of Serverless and HPC Streaming Applications.
IEEE BigData
André Luckow, Shantenu Jha
2019 J jnl
Performance Characterization and Modeling of Serverless and HPC Streaming Applications.
CoRR
André Luckow, Shantenu Jha
2019 — conf
Toward a Decentralized Marketplace for Self-Maintaining Machines.
Blockchain
Daniel Miehle, Matthias M. Meyer, André Luckow, Bernd Bruegge, Michael Essig
2018 J jnl
A Distributed Message Delivery Infrastructure for Connected Vehicle Technology Applications.
IEEE Trans. Intell. Transp. Syst.
Yuheng Du, Mashrur Chowdhury, Mizanur Rahman, Kakan C. Dey, Amy W. Apon, André Luckow, Linh Bao Ngo
2018 — conf
Artificial Intelligence and Deep Learning Applications for Automotive Manufacturing.
IEEE BigData
André Luckow, Ken Kennedy, Marcin Ziolkowski, Emil Djerekarov, Matthew Cook, Edward B. Duffy, Michael Schleiss, Bennie Vorster, Edwin Weill, Ankit Kulshrestha, Melissa C. Smith
2018 B conf
Evaluation of Highly Available Cloud Streaming Systems for Performance and Price.
CCGrid
Dung Nguyen, André Luckow, Edward B. Duffy, Ken Kennedy, Amy W. Apon
2018 — conf
Performance and Memory Trade-offs of Deep Learning Object Detection in Fast Streaming High-Definition Images.
IEEE BigData
Aishwarya Srivastava, Dung Nguyen, Siddhant Aggarwal, André Luckow, Edward B. Duffy, Ken Kennedy, Marcin Ziolkowski, Amy W. Apon
2018 — conf
Pilot-Streaming: A Stream Processing Framework for High-Performance Computing.
eScience
Georgios Chantzialexiou, André Luckow, Shantenu Jha
2018 J jnl
Pilot-Streaming: A Stream Processing Framework for High-Performance Computing.
CoRR
André Luckow, George Chantzialexiou, Shantenu Jha
2018 B conf
Task-parallel Analysis of Molecular Dynamics Trajectories.
ICPP
Ioannis Paraskevakos, André Luckow, Mahzad Khoshlessan, George Chantzialexiou, Thomas E. Cheatham, Oliver Beckstein, Geoffrey C. Fox, Shantenu Jha
2018 J jnl
Task-parallel Analysis of Molecular Dynamics Trajectories.
CoRR
Ioannis Paraskevakos, André Luckow, George Chantzialexiou, Mahzad Khoshlessan, Oliver Beckstein, Geoffrey C. Fox, Shantenu Jha
2017 B conf
Algebraic multigrid support vector machines.
ESANN
Ehsan Sadrfaridpour, Sandeep Jeereddy, Ken Kennedy, André Luckow, Talayeh Razzaghi, Ilya Safro
2017 J jnl
Deep Learning in the Automotive Industry: Applications and Tools.
CoRR
André Luckow, Matthew Cook, Nathan Ashcraft, Edwin Weill, Emil Djerekarov, Bennie Vorster
2017 J jnl
Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure.
Concurr. Comput. Pract. Exp.
Shantenu Jha, Daniel S. Katz, André Luckow, Neil P. Chue Hong, Omer F. Rana, Yogesh Simmhan
2017 C conf
Optimal scheduling of autonomous vehicle arrivals at intelligent intersections via MILP.
ACC
S. Alireza Fayazi, Ardalan Vahidi, André Luckow
2017 — conf
Representativeness of latent dirichlet allocation topics estimated from data samples with application to common crawl.
IEEE BigData
Yuheng Du, Alexander Herzog, André Luckow, Ramu Nerella, Christopher Gropp, Amy W. Apon
2016 J jnl
Algebraic multigrid support vector machines.
CoRR
Ehsan Sadrfaridpour, Sandeep Jeereddy, Ken Kennedy, André Luckow, Talayeh Razzaghi, Ilya Safro
2016 — conf
Deep learning in the automotive industry: Applications and tools.
IEEE BigData
André Luckow, Matthew Cook, Nathan Ashcraft, Edwin Weill, Emil Djerekarov, Bennie Vorster
2016 — conf
Hadoop on HPC: Integrating Hadoop and Pilot-Based Dynamic Resource Management.
IPDPS Workshops
André Luckow, Ioannis Paraskevakos, George Chantzialexiou, Shantenu Jha
2016 J jnl
Hadoop on HPC: Integrating Hadoop and Pilot-based Dynamic Resource Management.
CoRR
André Luckow, Ioannis Paraskevakos, George Chantzialexiou, Shantenu Jha
2016 J jnl
Introducing Distributed Dynamic Data-intensive (D3) Science: Understanding Applications and Infrastructure.
CoRR
Shantenu Jha, Daniel S. Katz, André Luckow, Omer F. Rana, Yogesh Simmhan, Neil P. Chue Hong
2015 — conf
Automotive big data: Applications, workloads and infrastructures.
IEEE BigData
André Luckow, Ken Kennedy, Fabian Manhardt, Emil Djerekarov, Bennie Vorster, Amy W. Apon
2015 C conf
Evaluating R-Based Big Data Analytic Frameworks.
CLUSTER
Mei Liang, Cesar Trejo, Lavanya Muthu, Linh Bao Ngo, André Luckow, Amy W. Apon
2015 B conf
HPC-ABDS High Performance Computing Enhanced Apache Big Data Stack.
CCGRID
Geoffrey C. Fox, Judy Qiu, Supun Kamburugamuve, Shantenu Jha, André Luckow
2015 J jnl
Pilot-Abstraction: A Valid Abstraction for Data-Intensive Applications on HPC, Hadoop and Cloud Infrastructures?
CoRR
André Luckow, Pradeep Kumar Mantha, Shantenu Jha
2015 J jnl
Pilot-Data: An abstraction for distributed data.
J. Parallel Distributed Comput.
André Luckow, Mark Santcroos, Ashley Zebrowski, Shantenu Jha
2014 — conf
A Tale of Two Data-Intensive Paradigms: Applications, Abstractions, and Architectures.
BigData Congress
Shantenu Jha, Judy Qiu, André Luckow, Pradeep Kumar Mantha, Geoffrey C. Fox
2014 J jnl
A Tale of Two Data-Intensive Paradigms: Applications, Abstractions, and Architectures.
CoRR
Shantenu Jha, Judy Qiu, André Luckow, Pradeep Kumar Mantha, Geoffrey Charles Fox
2014 — conf
Synthetic data generation for the internet of things.
IEEE BigData
Jason W. Anderson, Ken E. Kennedy, Linh Bao Ngo, André Luckow, Amy W. Apon
2014 Misc conf
Towards a Comprehensive Set of Big Data Benchmarks.
High Performance Computing Workshop
Geoffrey C. Fox, Shantenu Jha, Judy Qiu, Saliya Ekanayake, André Luckow
2013 B conf
Exploring Dynamic Enactment of Scientific Workflows Using Pilot-Abstractions.
CCGRID
Mark Santcroos, Barbera D. C. van Schaik, Shayan Shahand, Sílvia Delgado Olabarriaga, André Luckow, Shantenu Jha
2013 J jnl
Pilot-Data: An Abstraction for Distributed Data
CoRR
André Luckow, Mark Santcroos, Ole Weidner, Ashley Zebrowski, Shantenu Jha
2012 J jnl
Advance Reservation-based Computational Resource Brokering using Earliest Start Time Estimation.
J. Comput.
Feng Liang, Shilong Ma, André Luckow, Bettina Schnor
2012 J jnl
P*: A Model of Pilot-Abstractions
CoRR
André Luckow, Mark Santcroos, Ole Weidner, André Merzky, Pradeep Kumar Mantha, Shantenu Jha
2012 — conf
P∗: A model of pilot-abstractions.
eScience
André Luckow, Mark Santcroos, André Merzky, Ole Weidner, Pradeep Kumar Mantha, Shantenu Jha
2012 A conf
Towards a common model for pilot-jobs.
HPDC
André Luckow, Mark Santcroos, Ole Weidner, André Merzky, Sharath Maddineni, Shantenu Jha
2010 C conf
Abstractions for Loosely-Coupled and Ensemble-Based Simulations on Azure.
CloudCom
André Luckow, Shantenu Jha
2010 C conf
Earliest Start Time Estimation for Advance Reservation-Based Resource Brokering within Computational Grids.
ISPA
Feng Liang, Shilong Ma, André Luckow, Bettina Schnor
2010 B conf
SAGA BigJob: An Extensible and Interoperable Pilot-Job Abstraction for Distributed Applications and Systems.
CCGRID
André Luckow, Lukasz Lacinski, Shantenu Jha
2009 — —
A dependable middleware for enhancing the fault tolerance of distributed computations in grid environments.
André Luckow
2008 B conf
Adaptive Checkpoint Replication for Supporting the Fault Tolerance of Applications in the Grid.
NCA
André Luckow, Bettina Schnor
2008 — conf
Distributed Replica-Exchange Simulations on Production Environments Using SAGA and Migol.
eScience
André Luckow, Shantenu Jha, Joohyun Kim, André Merzky, Bettina Schnor
2008 J jnl
Migol: A fault-tolerant service framework for MPI applications in the grid.
Future Gener. Comput. Syst.
André Luckow, Bettina Schnor
2008 A conf
Service replication in Grids: Ensuring consistency in a dynamic, failure-prone environment.
IPDPS
André Luckow, Bettina Schnor
2006 — conf
Grid Security for Fault Tolerant Grid Applications.
PDCS
Nicole Hallama, André Luckow, Bettina Schnor
2005 — conf
Migol: A Fault-Tolerant Service Framework for MPI Applications in the Grid.
PVM/MPI
André Luckow, Bettina Schnor