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CORDIS - Resultados de investigaciones de la UE
CORDIS

Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Graph-Massivizer requirements elicitation and first architecture design (se abrirá en una nueva ventana)

D2.1 presents the first requirements elicitation and Graph-Massivizer toolkit architecture design. (T2.1, T2.3)

Massive graph inception architecture and data management (se abrirá en una nueva ventana)

D3.1 defines the graph inception architecture and BGO based on open standards as a reference for tools and use cases (T3.1, T3.2).

BGO and composition rules repository for heterogeneous devices (se abrirá en una nueva ventana)

D4.1 is a documented code repository with a collection of BGO optimised for different devices (T4.1, T4.2).

Communication, dissemination, and exploitation strategy (se abrirá en una nueva ventana)

D7.1 provides the initial plan for the communication, dissemination and exploitation activities and the evaluation framework (T7.1 – T7.4).

Publicaciones

AI, What Does the Future Hold for Us? Automating Strategic Foresight. (se abrirá en una nueva ventana)

Autores: Joze Rozanec, Peter Nemec, Gregor Leban, Marko Grobelnik
Publicado en: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Editor: Association for Computing Machinery
DOI: 10.1145/3578245.3585336

Modeling and Generating Extreme Volumes of Financial Synthetic Time-Series Data with Knowledge Graphs

Autores: Laurentiu Vasiliu, S. Haleh S. Dizaji, Aaron Eberhart, Dumitru Roman, Radu Prodan
Editor: CEUR

An Extensive Characterization of Graph Sampling Algorithms (se abrirá en una nueva ventana)

Autores: S. Haleh S. Dizaji, Joze M. Rozanec, Reza Farahani, Dumitru Roman, Radu Prodan
Publicado en: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2025
Editor: ACM
DOI: 10.1145/3629527.3652899

Semi-Supervised Event Predictions with Graph Networks (se abrirá en una nueva ventana)

Autores: Peter Nemec, Gregor Leban, Joze Rozanec, Marko Grobelnik
Publicado en: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Editor: Association for Computing Machinery
DOI: 10.1145/3578245.3585332

metaphactory for Massive Graphs (se abrirá en una nueva ventana)

Autores: Aaron Eberhart, Peter Haase, Wolfgang Schell
Publicado en: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Editor: ACM
DOI: 10.1145/3578245.3585330

Designing a Sustainable Serverless Graph Processing Tool on the Computing Continuum (se abrirá en una nueva ventana)

Autores: Reza Farahani, Sashko Ristov & Radu Prodan
Publicado en: Euro-Par 2023: Parallel Processing Workshops, 2024, ISSN 0302-9743
Editor: Springer Verlag
DOI: 10.1007/978-3-031-48803-0_18

Scaling Data Science Solutions with Semantics and Machine Learning: Bosch Case (se abrirá en una nueva ventana)

Autores: Zhou, Baifan; Nikolov, Nikolay Vladimirov; Zheng, Zhuoxun; Luo, Xianghui; Savkovic, Ognjen; Roman, Dumitru; Soylu, Ahmet; Kharlamov, Evgeny
Publicado en: The Semantic Web – ISWC 2023, 2023, ISSN 0302-9743
Editor: Springer
DOI: 10.48550/arxiv.2308.01094

A Unified Ontology for Scalable Knowledge Graph-Driven Operational Data Analytics in High-Performance Computing Systems (se abrirá en una nueva ventana)

Autores: Junaid Ahmed Khan, Andrea Bartolini
Publicado en: 2025
Editor: Cornell Unversty
DOI: 10.48550/ARXIV.2507.06107

Monte Cimone v2: Down the Road of RISC-V High-Performance Computers (se abrirá en una nueva ventana)

Autores: Emanuele Venieri, Simone Manoni, Gabriele Ceccolini, Giacomo Madella, Federico Ficarelli, Daniele Gregori, Daniele Cesarini, Luca Benini, Andrea Bartolini
Publicado en: 2025
Editor: Cornell University
DOI: 10.48550/ARXIV.2503.18543

Proactive SLA-aware Application Placement in the Computing Continuum (se abrirá en una nueva ventana)

Autores: Samani, Zahra Najafabadi; Mehran, Narges; Kimovski, Dragi; Prodan, Radu
Publicado en: 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2023, ISSN 1530-2075
Editor: IEEE
DOI: 10.5281/zenodo.7770236

Towards cloud storage tier optimization with rule-based classification (se abrirá en una nueva ventana)

Autores: Akif Quddus Khan, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman & Ahmet Soylu
Publicado en: Service-Oriented and Cloud Computing, 2023, ISBN 978-3-031-46234-4
Editor: Springer, Cham
DOI: 10.1007/978-3-031-46235-1_13

The MATRIX Ontology – Semantic Memory for Multi-agent Experience Transfer, Reasoning and Interaction eXchange

Autores: Liubov Kovriguina, Dmitry Mouromtsev, Peter Haase
Publicado en: 2025
Editor: Springer

SpikeStream: Accelerating Spiking Neural Network Inference on RISC-V Clusters with Sparse Computation Extensions (se abrirá en una nueva ventana)

Autores: Simone Manoni, Paul Scheffler, Luca Zanatta, Andrea Acquaviva, Luca Benini, Andrea Bartolini
Publicado en: 2025 Design, Automation & Test in Europe Conference (DATE), 2025
Editor: IEEE
DOI: 10.23919/DATE64628.2025.10992749

Towards Graph-based Cloud Cost Modelling and Optimisation (se abrirá en una nueva ventana)

Autores: Khan, Akif Quddus; Nikolov, Nikolay; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet
Publicado en: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), 2023, ISSN 0730-3157
Editor: IEEE
DOI: 10.1109/COMPSAC57700.2023.00203

A trace-driven performance evaluation of hash-based task placement algorithms for cache-enabled serverless computing (se abrirá en una nueva ventana)

Autores: Sacheendra Talluri, Nikolas Herbst, Cristina Abad, Animesh Trivedi, and Alexandru Iosup
Publicado en: CF '23: Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023, ISBN 979-8-4007-0140-5
Editor: ACM
DOI: 10.1145/3587135.3592195

DEEP: Edge-Based Dataflow Processing with Hybrid Docker Hub and Regional Registries (se abrirá en una nueva ventana)

Autores: Narges Mehran, Zahra Najafabadi Samani, Reza Farahani, Josef Hammer, Dragi Kimovski
Publicado en: 2025 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2025
Editor: IEEE
DOI: 10.1109/IPDPSW66978.2025.00162

Serverless Orchestration on the Edge-Cloud Continuum: Challenges and Solutions (se abrirá en una nueva ventana)

Autores: Reza Farahani, Radu Prodan
Publicado en: Companion of the 16th ACM/SPEC International Conference on Performance Engineering, 2025
Editor: ACM
DOI: 10.1145/3680256.3721254

The SPEC-RG reference architecture for the edge continuum (se abrirá en una nueva ventana)

Autores: Matthijs Jansen, Auday Al-Dulaimy, Alessandro V. Papadopoulos, Animesh Trivedi, Alexandru Iosup
Publicado en: 2022
DOI: 10.48550/arXiv.2207.04159

Serverless Everywhere: A Comparative Analysis of WebAssembly Workflows Across Browser, Edge, and Cloud (se abrirá en una nueva ventana)

Autores: Mario Colosi, Reza Farahani, Lauri Loven, Radu Prodan, Massimo Villari
Editor: Cornell University
DOI: 10.48550/ARXIV.2512.04089

GraphSys-2024: 2nd Workshop on Serverless, Extreme-Scale, and Sustainable Graph Processing Systems (se abrirá en una nueva ventana)

Autores: Alexandru Iosup, Radu Prodan, and Ana-Lucia Varbanescu
Publicado en: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISBN 979-8-4007-0445-1
Editor: ACM
DOI: 10.1145/3629527.3651435

NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores (se abrirá en una nueva ventana)

Autores: Simone Manoni, Paul Scheffler, Alfio Di Mauro, Luca Zanatta, Andrea Acquaviva, Luca Benini, Andrea Bartolini
Publicado en: Proceedings of the 21st ACM International Conference on Computing Frontiers: Workshops and Special Sessions, 2025
Editor: ACM
DOI: 10.1145/3637543.3652879

GREEM: An Open-Source Energy Measurement Tool for Video Processing (se abrirá en una nueva ventana)

Autores: Christian Bauer, Samira Afzal, Sandro Linder, Radu Prodan, and Christian Timmerer
Publicado en: MMSys '24: Proceedings of the 15th ACM Multimedia Systems Conference, 2024, ISBN 979-8-4007-0412-3
Editor: ACM
DOI: 10.1145/3625468.3652168

Lecture Notes in Computer Science (se abrirá en una nueva ventana)

Autores: Zhou, Baifan; Nikolov, Nikolay Vladimirov; Zheng, Zhuoxun; Luo, Xianghui; Savkovic, Ognjen; Roman, Dumitru; Soylu, Ahmet; Kharlamov, Evgeny
Publicado en: The Semantic Web – ISWC 2023, 2023, ISSN 0302-9743
Editor: Springer
DOI: 10.48550/arxiv.2308.01094

Enabling Operational Data Analytics for Datacenters through Ontologies, Monitoring, and Simulation-based Prediction (se abrirá en una nueva ventana)

Autores: Shekhar Suman, Xiaoyu Chu, Dante Niewenhuis, Sacheendra Talluri, Tiziano De Matteis, and Alexandru Iosup
Publicado en: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISBN 979-8-4007-0445-1
Editor: ACM
DOI: 10.1145/3629527.3652897

Fiaingen: A financial time series generative method matching real-world data quality

Autores: Jozw M. Rozanec, Tina Zezlin, Laurentiu Vasiliu, Dunja Mladernic, Radu Prodan, Dumitru Roman
Publicado en: 2025
Editor: Cornell University

Graph-Inceptor: Towards Extreme Data Ingestion, Massive Graph Creation and Storage (se abrirá en una nueva ventana)

Autores: Joze Rozanec, Brian Elvesæter, Dumitru Roman, Marko Grobelnik, Peter Haase
Publicado en: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Editor: Association for Computing Machinery
DOI: 10.1145/3578245.3585339

Serverless Workflow Management on the Computing Continuum: A Mini-Survey (se abrirá en una nueva ventana)

Autores: Reza Farahani, Frank Loh, Dumitru Roman, Radu Prodan
Publicado en: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2025
Editor: ACM
DOI: 10.1145/3629527.3652901

EnergyLess: An Energy-Aware Serverless Workflow Batch Orchestration on the Computing Continuum (se abrirá en una nueva ventana)

Autores: Reza Farahani, Radu Prodan
Publicado en: 2025 IEEE 18th International Conference on Cloud Computing (CLOUD), 2025
Editor: IEEE
DOI: 10.1109/CLOUD67622.2025.00033

VEEP: Video Encoding Energy and CO2 Emission Prediction (se abrirá en una nueva ventana)

Autores: Armin Lachini, Manuel Hoi, Samira Afzal, Sandro Linder, Farzad Tashtarian, Radu Prodan, and Christian Timmerer
Publicado en: GMSys '24: Proceedings of the Second International ACM Green Multimedia Systems Workshop, 2024, ISBN 979-8-4007-0617-2
Editor: ACM
DOI: 10.1145/3652104.3652528

A Reference Architecture for Datacenter Scheduler Programming Abstractions: Design and Experiments (Work In Progress Paper) (se abrirá en una nueva ventana)

Autores: Aratz Manterola Lasa, Sacheendra Talluri, and Alexandru Iosup
Publicado en: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Editor: ACM
DOI: 10.1145/3578245.3585035

Graph-Greenifier: towards sustainable and energy-aware massive graph processing in the computing continuum (se abrirá en una nueva ventana)

Autores: Alexandru Iosup, Radu Prodan, Ana-Lucia Varbanescu, Sacheendra Talluri, Gilles Magalhaes, Kailhan Hokstam, Hugo Zwaan, Vincent van Beek, Reza Farahani, and Dragi Kimovski
Publicado en: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Editor: ACM
DOI: 10.1145/3578245.3585329

Literal-Aware Knowledge Graph Embedding for Welding Quality Monitoring: A Bosch Case (se abrirá en una nueva ventana)

Autores: Zhipeng Tan, Baifan Zhou, Zhuoxun Zheng, Ognjen Savkovic, Ziqi Huang, Irlan-Grangel Gonzalez, Ahmet Soylu, Evgeny Kharlamov
Publicado en: ISWC 2023: The Semantic Web – ISWC 2023, 2023, ISSN 0302-9743
Editor: Springer ISWC2023
DOI: 10.48550/arXiv.2308.01105

Serverless Workflow Management on the Computing Continuum: A Mini-Survey (se abrirá en una nueva ventana)

Autores: Reza Farahani, Frank Loh, Dumitru Roman, and Radu Prodan
Publicado en: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISBN 979-8-4007-0445-1
Editor: ACM
DOI: 10.1145/3629527.3652901

Estimating link confidence for human-in-the-loop table annotation (se abrirá en una nueva ventana)

Autores: Roberto Avogadro; Michele Ciavotta; Flavio De Paoli; Matteo Palmonari; Dumitru Roman
Publicado en: 2023 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2023, ISBN 979-8-3503-0919-5
Editor: IEEE
DOI: 10.1109/WI-IAT59888.2023.00025

The RML Ontology: A Community-Driven Modular Redesign After a Decade of Experience in Mapping Heterogeneous Data to RDF (se abrirá en una nueva ventana)

Autores: Ana Iglesias-Molina, Dylan Van Assche, Julián Arenas-Guerrero, Ben De Meester, Christophe Debruyne, Samaneh Jozashoori, Pano Maria, Franck Michel, David Chaves-Fraga & Anastasia Dimou
Publicado en: The Semantic Web – ISWC 2023, 2023, ISSN 0302-9743
Editor: Springer Verlag
DOI: 10.1007/978-3-031-47243-5_9

Exploring the Utility of Graph Methods in HPC Thermal Modeling (se abrirá en una nueva ventana)

Autores: Bruno Guindani, Martin Molan, Andrea Bartolini, and Luca Benini
Publicado en: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISBN 979-8-4007-0445-1
Editor: ACM
DOI: 10.1145/3629527.3652895

NARS: Neuromorphic Acceleration through Register-Streaming Extensions on RISC-V Cores (se abrirá en una nueva ventana)

Autores: Manoni, Simone and Scheffler, Paul and Di Mauro, Alfio and Zanatta, Luca and Acquaviva, Andrea and Benini, Luca and Bartolini, Andrea
Publicado en: Proceedings of the 21st ACM International Conference on Computing Frontiers: Workshops and Special Sessions, 2024, ISBN 9798400704925
Editor: ACM
DOI: 10.1145/3637543.3652879

ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER (se abrirá en una nueva ventana)

Autores: Layegh, Amirhossein; Hossein Payberah, Amir; Soylu, Ahmet; Roman, Dumitru; Matskin, Mihhail
Publicado en: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), 2023, ISSN 0730-3157
Editor: IEEE
DOI: 10.48550/arxiv.2305.17951

ExeKGLib: Knowledge Graphs-Empowered Machine Learning Analytics (se abrirá en una nueva ventana)

Autores: Antonis Klironomos, Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Gad-Elrab Mohamed, Heiko Paulheim, Evgeny Kharlamov
Publicado en: The Semantic Web: ESWC 2023 Satellite Events, 2023, ISSN 0302-9743
Editor: Springer Verlag
DOI: 10.1007/978-3-031-43458-7_23

AutoGrAN: Autonomous Vehicle LiDAR Contaminant Detection using Graph Attention Networks (se abrirá en una nueva ventana)

Autores: Grafika Jati, Martin Molan, Junaid Ahmed Khan, Francesco Barchi, Andrea Bartolini, Giuseppe Mercurio, and Andrea Acquaviva
Publicado en: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISBN 979-8-4007-0445-1
Editor: ACM
DOI: 10.1145/3629527.3652896

Building Massive Knowledge Graphs using an Automated ETL Pipeline (se abrirá en una nueva ventana)

Autores: Aaron Eberhart, Wolfgang Schell, and Peter Haase
Publicado en: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISBN 979-8-4007-0445-1
Editor: ACM
DOI: 10.1145/3629527.3652900

SemOpenAlex: The Scientific Landscape in 26 Billion RDF Triples (se abrirá en una nueva ventana)

Autores: Michael Färber, David Lamprecht, Johan Krause, Linn Aung & Peter Haase
Publicado en: The Semantic Web – ISWC 2023, 2023, ISSN 0302-9743
Editor: Springer Verlag
DOI: 10.1007/978-3-031-47243-5_6

ADApt: Edge Device Anomaly Detection and Microservice Replica Prediction (se abrirá en una nueva ventana)

Autores: Narges Mehran, Nikolay Nikolov, Radu Prodan, Dumitru Roman, Dragi Kimovski, Frank Pallas, Peter Dorfinger
Publicado en: 2025 IEEE 9th International Conference on Fog and Edge Computing (ICFEC), 2025
Editor: IEEE
DOI: 10.1109/ICFEC65699.2025.00009

An integrated approach using ontologies, knowledge graphs,machine learning, and rules models for synthetic financial time series generation

Autores: Laurentiu Vasiliu, Radu Prodan, Ahmet Soylu, Dumitru Roman
Publicado en: 2024
Editor: CEUR

Learning anomalies from graph: predicting compute node failures on HPC clusters

Autores: Joze M. rozanec, Roy Krumpak, Martin Molan, Andrea Bartolini
Publicado en: 2024
Editor: PMLR

Adapting Neural Link Predictors for Data-Efficient Complex Query Answering (se abrirá en una nueva ventana)

Autores: Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein
Publicado en: 37th Conference on Neural Information Processing Systems, 2024
Editor: Curran Associates Inc., 57 Morehouse Lane, Red Hook, NY, United States
DOI: 10.5555/3666122.3667300

Scheduling of Distributed Applications on the Computing Continuum: A Survey (se abrirá en una nueva ventana)

Autores: Narges Mehran, Dragi Kimovski, Hermann Hellwagner, Dumitru Roman, Ahmet Soylu, and Radu Prodan
Publicado en: UCC '23: Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2024, ISBN 979-8-4007-0234-1
Editor: ACM
DOI: 10.1145/3603166.3632540

metis: AI Agent Platform for Human-AI Interaction with Knowledge Graphs

Autores: Linn Aung, Aaron Eberhart, Peter Haase, Nicolas Heist, Liubov Kovriguina, David Lamprecht, Nazanin Mashhaditafreshi
Publicado en: 2025
Editor: CEUR

Towards Sustainable Serverless Processing of Massive Graphs on the Computing Continuum (se abrirá en una nueva ventana)

Autores: Reza Farahani; Dragi Kimovski; Sashko Ristov; Alexandru Iosup; Radu Prodan
Publicado en: ICPE 2023 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 221 - 226, 2023, ISBN 979-8-4007-0072-9
Editor: ACM
DOI: 10.1145/3578245.3585331

The Graph-Massivizer approach toward a European sustainable data centre digital twin (se abrirá en una nueva ventana)

Autores: Martin Molan, Junaid Ahmed Khan, Andrea Bartolini, Roberta Turra, Giorgio Pedrazzi, Michael Cochez, Alexandru Iosup, Dumitru Roman, Jože Rožanec, Ana Lucia Vărbănescu, Radu Prodan
Publicado en: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), 2023, ISSN 0730-3157
Editor: IEEE
DOI: 10.1109/COMPSAC57700.2023.00224

HEFTLess: A Bi-Objective Serverless Workflow Batch Orchestration on the Computing Continuum (se abrirá en una nueva ventana)

Autores: Reza Farahani, Narges Mehran, Sashko Ristov, Radu Prodan
Publicado en: 2024 IEEE International Conference on Cluster Computing (CLUSTER), 2024
Editor: IEEE
DOI: 10.1109/CLUSTER59578.2024.00032

VEED: Video Encoding Energy and CO2 Emissions Dataset for AWS EC2 instances (se abrirá en una nueva ventana)

Autores: Sandro Linder, Samira Afzal, Christian Bauer, Hadi Amirpour, Radu Prodan, and Christian Timmerer
Publicado en: MMSys '24: Proceedings of the 15th ACM Multimedia Systems Conference, 2024, ISBN 979-8-4007-0412-3
Editor: Association for Computing Machinery
DOI: 10.1145/3625468.3652178

Osmotic Learning: A Self-Supervised Paradigm for Decentralized Contextual Data Representation (se abrirá en una nueva ventana)

Autores: Mario Colosi, Reza Farahani, Maria Fazio, Radu Prodan, Massimo Villari
Publicado en: 2025 International Joint Conference on Neural Networks (IJCNN), 2025
Editor: IEEE
DOI: 10.1109/IJCNN64981.2025.11228913

A Performance Evaluation of OWL 2 DL Reasoners using ORE 2015 and Very Large Bio Ontologies

Autores: An Ngoc Lam, Brian Elvesæter and Francisco Martin-Recuerda
Publicado en: 1st International Workshop on Data Management for Knowledge Graphs (DMKG 2023), CEUR Workshop Proceedings. 2023, 2023, ISSN 1613-0073
Editor: CEUR Workshop Proceedings

ExaQuery: Proving Data Structure to Unstructured Telemetry Data in Large-Scale HPC (se abrirá en una nueva ventana)

Autores: Junaid Ahmed Khan, Martin Molan, Matteo Angelinelli, and Andrea Bartolini
Publicado en: ICPE '24: 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISBN 979-8-4007-0445-1
Editor: ACM
DOI: 10.1145/3629527.3652898

Graph-Optimizer: towards predictable large-scale graph processing workloads (se abrirá en una nueva ventana)

Autores: Ana Lucia Varbanescu and Andrea Bartolini
Publicado en: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineer, 2023, ISBN 979-8-4007-0072-9
Editor: ACM
DOI: 10.1145/3578245.3585340

Wedge-Parallel Triangle Counting for GPUs

Autores: Jeffrey Spaan, Kuan-Hsun Chen, David A. Bader, Ana Lucia Varbanescu
Publicado en: 2025
Editor: Springer Verlag

Assessing Tenstorrent's RISC-V MatMul Acceleration Capabilities (se abrirá en una nueva ventana)

Autores: Hiari Pizzini Cavagna, Daniele Cesarini, Andrea Bartolini
Publicado en: 2025
Editor: Cornell University
DOI: 10.48550/ARXIV.2505.06085

Large-scale Graph Processing and Simulation with Serverless Workflows in Federated FaaS (se abrirá en una nueva ventana)

Autores: Sashko Ristov, Reza Farahani, Radu Prodan
Publicado en: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Editor: Association for Computing Machinery
DOI: 10.1145/3578245.3585333

Towards Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe (se abrirá en una nueva ventana)

Autores: Radu Prodan, Dragi Kimovski, Andrea Bartolini, Michael Cochez, Alexandru Iosup,Evgeny Kharlamov,Joze Rozanec,Laurentiu Vasiliu,Ana Lucia Varbanescu
Publicado en: 2022 IEEE Cloud Summit, 2022, ISBN 978-1-6654-5113-0
Editor: IEEE
DOI: 10.1109/CloudSummit54781.2022.00010

Graph-Scrutinizer: Towards Massive Graph Analytics and Reasoning (se abrirá en una nueva ventana)

Autores: Joze Rozanec, Michael Cochez, Ruud van Bakel, Brian Elvesæter, Dumitru Roman
Publicado en: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Editor: Association for Computing Machinery
DOI: 10.1145/3578245.3585338

A Comparative Study of Streaming Graph Processing Systems

Autores: Shaoshuai Du, Jože M. Rožanec, Ana Lucia Varbanescu, Andy D. Pimentel
Editor: Springer

Towards ML-Driven Video Encoding Parameter Selection for Quality and Energy Optimization (se abrirá en una nueva ventana)

Autores: Zoha Azimi; Reza Farahani; Vignesh V. Menon; Christian Timmerer; Radu Prodan
Publicado en: 2024 16th International Conference on Quality of Multimedia Experience (QoMEX), 2024, ISSN 2472-7814
Editor: IEEE
DOI: 10.1109/QoMEX61742.2024.10598278

Studies in Computational Intelligence (se abrirá en una nueva ventana)

Autores: Gåsvær, Kaspara Skovli; Lind, Pedro G.; Langguth, Johannes; Hjorth-Jensen, Morten; Kreil, Michael; Schroeder, Daniel Thilo
Publicado en: COMPLEX NETWORKS 2023 The 12th International Conference on Complex Networks and their Applications, 2023, ISSN 1860-949X
Editor: Springer
DOI: 10.48550/arxiv.2310.05542

Boosting the Impact of Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe Graph-Massivizer: A Horizon Europe Project (se abrirá en una nueva ventana)

Autores: Nuria de Lama Sanchez, Peter Haase, Dumitru Roman, Radu Prodan
Publicado en: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Editor: Association for Computing Machinery
DOI: 10.1145/3578245.3585334

Go-Network: a graph sampling library written in Go (se abrirá en una nueva ventana)

Autores: Jože M. Rožanec and Matias Rožanec
Publicado en: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISBN 979-8-4007-0445-1
Editor: ACM
DOI: 10.1145/3629527.3652903

SimLess: simulate serverless workflows and their twins and siblings in federated FaaS (se abrirá en una nueva ventana)

Autores: Sashko Ristov, Mika Hautz, Christian Hollaus, Radu Prodan
Publicado en: SoCC '22: Proceedings of the 13th Symposium on Cloud Computing, 2022, ISBN 978-1-4503-9414-7
Editor: Association for Computing Machinery, New York, NY, United States
DOI: 10.1145/3542929.3563478

Extreme and Sustainable Graph Processing for GreenFinance Investment and Trading (se abrirá en una nueva ventana)

Autores: Laurentiu Alexandru Vasiliu, Dumitru Roman, Radu Prodan
Publicado en: ICPE '23: ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Editor: Association for Computing Machinery, New York, NY, United States
DOI: 10.1145/3578245.3585337

Comparison of Microservice Call Rate Predictions for Replication in the Cloud (se abrirá en una nueva ventana)

Autores: Narges Mehran, Arman Haghighi, Pedram Aminharati, Nikolay Nikolov, Ahmet Soylu, Dumitru Roman, Radu Prodan
Publicado en: 16th IEEE/ACM International Conference on Utility and Cloud Computing, 2023, ISSN 2373-6860
Editor: IEEE/ACM
DOI: 10.1145/3603166.3632566

FootPrinter: Quantifying Data Center Carbon Footprint (se abrirá en una nueva ventana)

Autores: Dante Niewenhuis, Sacheendra Talluri, Alexandru Iosup, Tiziano De Matteis
Publicado en: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISSN 79-8-4007-0445-1
Editor: ACM
DOI: 10.1145/3629527.3651419

GraphMa: Towards new Models for Pipeline-Oriented Computation on Graphs (se abrirá en una nueva ventana)

Autores: Daniel Thilo Schroeder, Tobias Herb, Brian Elvesæter, and Dumitru Roman
Publicado en: ICPE '24 Companion: Companion of the 15th ACM/SPEC International Conference on Performance Engineering, 2024, ISBN 979-8-4007-0445-1
Editor: ACM
DOI: 10.1145/3629527.3652894

MCBound: An Online Framework to Characterize and Classify Memory/Compute-bound HPC Jobs (se abrirá en una nueva ventana)

Autores: Francesco Antici, Andrea Bartolini, Zeynep Kiziltan, Ozalp Babaoglu, Yuetsu Kodama
Publicado en: SC24: International Conference for High Performance Computing, Networking, Storage and Analysis, 2024
Editor: IEEE
DOI: 10.1109/SC41406.2024.00062

Evaluation of a Representative Selection of SPARQL Query Engines using Wikidata (se abrirá en una nueva ventana)

Autores: An Ngoc Lam, Brian Elvesæter & Francisco Martin-Recuerda
Publicado en: The Semantic Web. ESWC 2023, 2023, ISSN 0302-9743
Editor: Springer
DOI: 10.1007/978-3-031-33455-9_40

Towards InnoGraph: A Knowledge Graph for AI Innovation (se abrirá en una nueva ventana)

Autores: M.Besher Massri; Blerina Spahiu; Marko Grobelnik; Vladimir Alexiev; Matteo Palmonari; Dumitru Roman
Publicado en: WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023, 2023, ISBN 978-1-4503-9419-2
Editor: Association for Computing Machinery New York, NY United States
DOI: 10.1145/3543873.3587614

Matching-based Scheduling of Asynchronous Data Processing Workflows on the Computing Continuum (se abrirá en una nueva ventana)

Autores: Narges Mehran; Zahra Najafabadi Samani; Dragi Kimovski; Radu Prodan
Publicado en: 2022 IEEE International Conference on Cluster Computing (CLUSTER), 2022, ISSN 2168-9253
Editor: IEEE
DOI: 10.1109/CLUSTER51413.2022.00021

Graph Neural Networks for Anomaly Anticipation in HPC Systems (se abrirá en una nueva ventana)

Autores: Martin Molan, Junaid Ahmed Khan, Andrea Borghesi, Andrea Bartolini
Publicado en: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023, ISBN 979-8-4007-0072-9
Editor: Association for Computing Machinery
DOI: 10.1145/3578245.3585335

Graph Sampling Quality Prediction for Algorithm Recommendation (se abrirá en una nueva ventana)

Autores: S. Haleh S. Dizaji, Reza Farahani, Jože M. Rožanec, Dragi Kimovski, Ahmet Soylu, Radu Prodan
Publicado en: 2024 IEEE 31st International Conference on High Performance Computing, Data, and Analytics (HiPC), 2025
Editor: IEEE
DOI: 10.1109/HIPC62374.2024.00032

Influence Maximization in Dynamic Networks Using Reinforcement Learning (se abrirá en una nueva ventana)

Autores: S. Haleh S. Dizaji, Kishor Patil & Konstantin Avrachenkov
Publicado en: SN Computer Science, 2024, ISSN 2661-8907
Editor: Springer
DOI: 10.1007/s42979-023-02453-1

The REGALE Library: A DDS Interoperability Layer for the HPC PowerStack (se abrirá en una nueva ventana)

Autores: Giacomo Madella, Federico Tesser, Lluis Alonso, Julita Corbalan, Daniele Cesarini, Andrea Bartolini
Publicado en: Journal of Low Power Electronics and Applications, Edición 15, 2025, ISSN 2079-9268
Editor: MDPI AG
DOI: 10.3390/JLPEA15010010

Incremental Multilayer Resource Partitioning for Application Placement in Dynamic Fog (se abrirá en una nueva ventana)

Autores: Zahra Najafabadi Samani; Narges Mehran; Dragi Kimovski; Shajulin Benedict; Nishant Saurabh; Radu Prodan,
Publicado en: IEEE Transactions on Parallel and Distributed Systems, 2023, ISSN 1045-9219
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TPDS.2023.3262695

EXASAGE: The first data center operational data analysis assistant (se abrirá en una nueva ventana)

Autores: Junaid Ahmed Khan, Martin Molan, Andrea Bartolini
Publicado en: Future Generation Computer Systems, Edición 176, 2025, ISSN 0167-739X
Editor: Elsevier BV
DOI: 10.1016/J.FUTURE.2025.108185

BioBLP: a modular framework for learning on multimodal biomedical knowledge graphs (se abrirá en una nueva ventana)

Autores: Daniel Daza, Dimitrios Alivanistos, Payal Mitra, Thom Pijnenburg, Michael Cochez, and Paul Groth
Publicado en: Journal of Biomedical Semantics, 2023, ISSN 2041-1480
Editor: Springer Nature
DOI: 10.1186/s13326-023-00301-y

Serverless Computing: What It Is, and What It Is Not? (se abrirá en una nueva ventana)

Autores: Samuel Kounev, Nikolas Herbst, Cristina L. Abad, Alexandru Iosup, Ian Foster, Prashant Shenoy, Omer Rana, and Andrew A. Chien
Publicado en: Communications of the ACM, Volume 66, Edición 9, 2023, ISSN 0001-0782
Editor: Association for Computing Machinary, Inc.
DOI: 10.1145/3587249

The computing continuum: From IoT to the cloud (se abrirá en una nueva ventana)

Autores: Auday Al-Dulaimy, Matthijs Jansen, Bjarne Johansson, Animesh Trivedi, Alexandru Iosup, Mohammad Ashjaei, Antonino Galletta, Dragi Kimovski, Radu Prodan, Konstantinos Tserpes, George Kousiouris, Chris Giannakos, Ivona Brandic, Nawfal Ali, André B. Bondi
Publicado en: Internet of Things, 2024, ISSN 2542-6605
Editor: Elsevier
DOI: 10.1016/j.iot.2024.101272

Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines (se abrirá en una nueva ventana)

Autores: Akif Quddus Khan, Nikolay Nikolov, Mihhail Matskin, Radu Prodan, Dumitru Roman, Bekir Sahin, Christoph Bussler and Ahmet Soylu
Publicado en: Sensors, 2023, ISSN 1424-8220
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s23020564

Container-Based Data Pipelines on the Computing Continuum for Remote Patient Monitoring (se abrirá en una nueva ventana)

Autores: Nikolov, Nikolay; Solberg, Arnor; Prodan, Radu; Soylu, Ahmet; Matskin, Mihhail; Roman, Dumitru
Publicado en: Computer, 2023, ISSN 0018-9162
Editor: IEEE
DOI: 10.1109/MC.2023.3285414

An online algorithm for power consumption prediction of HPC workload (se abrirá en una nueva ventana)

Autores: Francesco Antici, Andrea Borghesi, Zeynep Kiziltan, Jens Domke, Andrea Bartolini
Publicado en: Future Generation Computer Systems, Edición 175, 2026, ISSN 0167-739X
Editor: Elsevier BV
DOI: 10.1016/J.FUTURE.2025.108064

Cloud storage cost: a taxonomy and survey (se abrirá en una nueva ventana)

Autores: Akif Quddus Khan, Mihhail Matskin, Radu Prodan, Christoph Bussler, Dumitru Roman & Ahmet Soylu
Publicado en: World Wide Web, 2024, ISSN 1386-145X
Editor: Baltzer Science Publishers B.V.
DOI: 10.1007/s11280-024-01273-4

Serverless Electrocardiogram Stream Processing in Federated Clouds With Lambda Architecture (se abrirá en una nueva ventana)

Autores: Sashko Ristov, Marjan Gusev, Armin Hohenegger,Radu Prodan,Dimitar Mileski,Pano Gushev,Goran Temelkov
Publicado en: Computer, 2023, ISSN 0018-9162
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/MC.2023.3281873

F-DATA: A Fugaku Workload Dataset for Job-centric Predictive Modelling in HPC Systems (se abrirá en una nueva ventana)

Autores: Francesco Antici, Andrea Bartolini, Jens Domke, Zeynep Kiziltan, Keiji Yamamoto
Publicado en: Scientific Data, Edición 12, 2025, ISSN 2052-4463
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41597-025-05633-1

M100 ExaData: a data collection campaign on the CINECA’s Marconi100 Tier-0 supercomputer (se abrirá en una nueva ventana)

Autores: Andrea Borghesi, Carmine Di Santi, Martin Molan, Mohsen Seyedkazemi Ardebili, Alessio Mauri, Massimiliano Guarrasi, Daniela Galetti, Mirko Cestari, Francesco Barchi, Luca Benini, Francesco Beneventi & Andrea Bartolini
Publicado en: Scientific Data, 2023, ISSN 2052-4463
Editor: Springer Nature
DOI: 10.1038/s41597-023-02174-3

A transformer-based approach for source code classification for heterogeneous device mapping (se abrirá en una nueva ventana)

Autores: Marco Siino, Emanuele Parisi, Francesco Barchi, Andrea Acquaviva, Andrea Bartolini
Publicado en: Engineering Applications of Artificial Intelligence, Edición 163, 2026, ISSN 0952-1976
Editor: Elsevier BV
DOI: 10.1016/J.ENGAPPAI.2025.112987

A knowledge graph approach to predict and interpret disease-causing gene interactions (se abrirá en una nueva ventana)

Autores: Alexandre Renaux; Chloé Terwagne; Michael Cochez; Ilaria Tiddi; Ann Nowé; Tom Lenaerts
Publicado en: BMC Bioinformatics, 2023, ISSN 1471-2105
Editor: BMC Bioinformatics - Springer Nature
DOI: 10.1186/s12859-023-05451-5

GRAAFE: GRaph Anomaly Anticipation Framework for Exascale HPC systems (se abrirá en una nueva ventana)

Autores: Martin Molan, Mohsen Seyedkazemi Ardebili, Junaid Ahmed Khan, Francesco Beneventi, Daniele Cesarini, Andrea Borghesi, Andrea Bartolini
Publicado en: Future Generation Computer Systems, 2024, ISSN 0167-739X
Editor: Elsevier BV
DOI: 10.1016/j.future.2024.06.032

GNN2R: Weakly-Supervised Rationale-Providing Question Answering over Knowledge Graphs

Autores: Ruijie Wang, Luca Rossetto, Michael Cochez, Abraham Bernstein
Publicado en: 2024

An Integrated Approach Using Ontologies, Knowledge Graphs, Machine Learning, and Rules Models for Synthetic Financial Time Series Generation

Autores: Laurentiu Vasiliu, Radu Prodan, Ahmet Soylu, Dumitru Roman
Editor: CEUR

Software Architectures for AI Systems: State of Practice and Challenges (se abrirá en una nueva ventana)

Autores: Ian Gorton, Foutse Khomh, Valentina Lenarduzzi, Claudio Menghi & Dumitru Roman
Publicado en: Software Architecture: Research Roadmaps from the Community, 2023, ISBN 978-3-031-36847-9
Editor: Springer, Cham
DOI: 10.1007/978-3-031-36847-9_2

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