André Luckow

Rodrigo Neumann Barros Ferreira

Künstliche Intell., December, 2024

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions.

[BibT_eX]

[DOI]

Yuri Alexeev

Maximilian Amsler

Marco Antonio Barroca

Cristina Sanz Fernández

Salvador de la Puente Gonzalez

Doga Murat Kürkçüoglu

Vicente Leyton-Ortega

Francisco Martín-Fernández

Margaret Martonosi

Claire Marvinney

Arcesio Castañeda Medina

Gokul Subramanian Ravi

Future Gener. Comput. Syst., 2024

Pilot-Quantum: A Quantum-HPC Middleware for Resource, Workload and Task Management.

[BibT_eX]

[DOI]

CoRR, 2024

Quantum Computing for Automotive Applications: From Algorithms to Applications.

[BibT_eX]

[DOI]

CoRR, 2024

Quantum Mini-Apps: A Framework for Developing and Benchmarking Quantum-HPC Applications.

[BibT_eX]

[DOI]

CoRR, 2024

Expert Router: Orchestrating Efficient Language Model Inference through Prompt Classification.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Application-Aware Quantum Circuit Compilation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Software, 2024

Assessing the Requirements for Industry Relevant Quantum Computation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024

"We Are Visual Thinkers, Not Verbal Thinkers!": A Thematic Analysis of How Professional Designers Use Generative AI Image Generation Tools.

[BibT_eX]

[DOI]

Proceedings of the 13th Nordic Conference on Human-Computer Interaction, 2024

Domain-Aware LLM Routing During Generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2024

Performance Characterization of Expert Router for Scalable LLM Inference.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2024

2023

A Conceptual Architecture for a Quantum-HPC Middleware.

[BibT_eX]

[DOI]

Nishant Saurabh

Christopher Harth-Kitzerow

Proceedings of the IEEE International Conference on Quantum Software, 2023

Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Enhancing Complex Image Synthesis with Conditional Generative Models and Rule Extraction.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Revealing the landscape of privacy-enhancing technologies in the context of data markets for the IoT: A systematic literature review.

[BibT_eX]

[DOI]

Gonzalo Munilla Garrido

J. Netw. Comput. Appl., 2022

Optimization of Robot Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms.

[BibT_eX]

[DOI]

Mauricio G. C. Resende

Helmut G. Katzgraber

CoRR, 2022

QUARK: A Framework for Quantum Computing Application Benchmarking.

[BibT_eX]

[DOI]

CoRR, 2022

An in-depth investigation of the performance characteristics of Hyperledger Fabric.

[BibT_eX]

[DOI]

Comput. Ind. Eng., 2022

CRGC: A Practical Framework for Constructing Reusable Garbled Circuits.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Security and Cryptography, 2022

QUARK: A Framework for Quantum Computing Application Benchmarking.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

2021

Quantum Computing: Towards Industry Reference Problems.

[BibT_eX]

[DOI]

Johannes Klepsch

CoRR, 2021

Token Economy.

[BibT_eX]

[DOI]

Bus. Inf. Syst. Eng., 2021

Pilot-Edge: Distributed Resource Management Along the Edge-to-Cloud Continuum.

[BibT_eX]

[DOI]

Kartik Rattan

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Exploring Task Placement for Edge-to-Cloud Applications using Emulation.

[BibT_eX]

[DOI]

Kartik Rattan

Christopher Harth-Kitzerow

Proceedings of the 5th IEEE International Conference on Fog and Edge Computing, 2021

The DLPS: A New Framework for Benchmarking Blockchains.

[BibT_eX]

[DOI]

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

Exploring privacy-enhancing technologies in the automotive value chain.

[BibT_eX]

[DOI]

Gonzalo Munilla Garrido

Kaja Schmidt

Johannes Klepsch

Florian Matthes

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Deployment of a cloud pipeline for real-time visual inspection using fast streaming high-definition images.

[BibT_eX]

[DOI]

Softw. Pract. Exp., 2020

Methods and Experiences for Developing Abstractions for Data-intensive, Scientific Applications.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium Workshops, 2020

Privacy-preserving Blockchain-based Systems for Car Sharing Leveraging Zero-Knowledge Protocols.

[BibT_eX]

[DOI]

Proceedings of the 2nd IEEE International Conference on Decentralized Applications and Infrastructures, 2020

2019

PartChain: A Decentralized Traceability Application for Multi-Tier Supply Chain Networks in the Automotive Industry.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Decentralized Applications and Infrastructures, 2019

Toward a Decentralized Marketplace for Self-Maintaining Machines.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Blockchain, 2019

EdgeInsight: Characterizing and Modeling the Performance of Machine Learning Inference on the Edge and Cloud.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Performance Characterization and Modeling of Serverless and HPC Streaming Applications.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

A Distributed Message Delivery Infrastructure for Connected Vehicle Technology Applications.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2018

Task-parallel Analysis of Molecular Dynamics Trajectories.

[BibT_eX]

[DOI]

Ioannis Paraskevakos

George Chantzialexiou

CoRR, 2018

Task-parallel Analysis of Molecular Dynamics Trajectories.

[BibT_eX]

[DOI]

Ioannis Paraskevakos

Mahzad Khoshlessan

George Chantzialexiou

Proceedings of the 47th International Conference on Parallel Processing, 2018

Pilot-Streaming: A Stream Processing Framework for High-Performance Computing.

[BibT_eX]

[DOI]

Georgios Chantzialexiou

Proceedings of the 14th IEEE International Conference on e-Science, 2018

Evaluation of Highly Available Cloud Streaming Systems for Performance and Price.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

Performance and Memory Trade-offs of Deep Learning Object Detection in Fast Streaming High-Definition Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Artificial Intelligence and Deep Learning Applications for Automotive Manufacturing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2017

Algebraic multigrid support vector machines.

[BibT_eX]

[DOI]

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Representativeness of latent dirichlet allocation topics estimated from data samples with application to common crawl.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Optimal scheduling of autonomous vehicle arrivals at intelligent intersections via MILP.

[BibT_eX]

[DOI]

S. Alireza Fayazi

Ardalan Vahidi

Proceedings of the 2017 American Control Conference, 2017

2016

Hadoop on HPC: Integrating Hadoop and Pilot-Based Dynamic Resource Management.

[BibT_eX]

[DOI]

Ioannis Paraskevakos

George Chantzialexiou

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Deep learning in the automotive industry: Applications and tools.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Pilot-Data: An abstraction for distributed data.

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2015

Pilot-Abstraction: A Valid Abstraction for Data-Intensive Applications on HPC, Hadoop and Cloud Infrastructures?

[BibT_eX]

[DOI]

Pradeep Kumar Mantha

Sílvia Delgado Olabarriaga

CoRR, 2015

Evaluating R-Based Big Data Analytic Frameworks.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

HPC-ABDS High Performance Computing Enhanced Apache Big Data Stack.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

Automotive big data: Applications, workloads and infrastructures.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Towards a Comprehensive Set of Big Data Benchmarks.

[BibT_eX]

[DOI]

Proceedings of the Big Data and High Performance Computing, 2014

Synthetic data generation for the internet of things.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

A Tale of Two Data-Intensive Paradigms: Applications, Abstractions, and Architectures.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

2013

Pilot-Data: An Abstraction for Distributed Data

[BibT_eX]

[DOI]

CoRR, 2013

Exploring Dynamic Enactment of Scientific Workflows Using Pilot-Abstractions.

[BibT_eX]

[DOI]

Mark Santcroos

Barbera D. C. van Schaik

Shayan Shahand

Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

2012

Advance Reservation-based Computational Resource Brokering using Earliest Start Time Estimation.

[BibT_eX]

[DOI]

J. Comput., 2012

Towards a common model for pilot-jobs.

[BibT_eX]

[DOI]

Proceedings of the 21st International Symposium on High-Performance Parallel and Distributed Computing, 2012

P∗: A model of pilot-abstractions.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on E-Science, 2012

2010

Earliest Start Time Estimation for Advance Reservation-Based Resource Brokering within Computational Grids.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2010

Abstractions for Loosely-Coupled and Ensemble-Based Simulations on Azure.

[BibT_eX]

[DOI]

Proceedings of the Cloud Computing, Second International Conference, 2010

SAGA BigJob: An Extensible and Interoperable Pilot-Job Abstraction for Distributed Applications and Systems.

[BibT_eX]

[DOI]

Lukasz Lacinski

Proceedings of the 10th IEEE/ACM International Conference on Cluster, 2010

2009

A dependable middleware for enhancing the fault tolerance of distributed computations in grid environments.

[BibT_eX]

[DOI]

PhD thesis, 2009

2008

Migol: A fault-tolerant service framework for MPI applications in the grid.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2008

Adaptive Checkpoint Replication for Supporting the Fault Tolerance of Applications in the Grid.

[BibT_eX]

[DOI]

Proceedings of The Seventh IEEE International Symposium on Networking Computing and Applications, 2008

Service replication in Grids: Ensuring consistency in a dynamic, failure-prone environment.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

Distributed Replica-Exchange Simulations on Production Environments Using SAGA and Migol.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on e-Science, 2008

2006

Grid Security for Fault Tolerant Grid Applications.

[BibT_eX]

Nicole Hallama