Ana Lucia Vărbănescu

Professor at University of Twente

Research Focus
Paralell computing, performance engineering

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Publications

• Alexandru Iosup,
• Radu Prodan,
• Ana Lucia Vărbănescu
• (2023)

Graph Greenifier: Towards Sustainable and Energy-Aware Massive Graph Processing in the Computing Continuum

ICPE GraphSys 2023

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• Radu Prodan,
• Dragi Kimovski,
• Andrea Bartolini,
• Michael Cochez,
• Alexandru Iosup,
• Evgeny Kharlamov,
• Jože Rožanec,
• Laurenţiu Vasiliu,
• Ana Lucia Vărbănescu
• (2022)

Towards Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe

2022 IEEE Cloud Summit, 23-30

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• Sherif Sakr,
• Angela Bonifati,
• Hannes Voigt,
• Alexandru Iosup,
• Khaled Ammar,
• Renzo Angles,
• Walid Aref,
• Marcelo Arenas,
• Maciej Besta,
• Peter A. Boncz,
• Khuzaima Daudjee,
• Emanuele Della Valle,
• Stefania Dumbrava,
• Olaf Hartig,
• Bernhard Haslhofer,
• Tim Hegeman,
• Jan Hidders,
• Katja Hose,
• Adriana Iamnitchi,
• Vasiliki Kalavri,
• Hugo Kapp,
• Wim Martens,
• M. Tamer Özsu,
• Eric Peukert,
• Stefan Plantikow,
• Mohamed Ragab,
• Matei R. Ripeanu,
• Semih Salihoglu,
• Christian Schulz,
• Petra Selmer,
• Juan F. Sequeda,
• Joshua Shinavier,
• Gábor Szárnyas,
• Riccardo Tommasini,
• Antonino Tumeo,
• Alexandru Uta,
• Ana Lucia Vărbănescu,
• Hsiang-Yun Wu,
• Nikolay Yakovets,
• Da Yan,
• Eiko Yoneki
• (2021)

The Future is Big Graphs: A Community View on Graph Processing Systems

Communications of the ACM, September 2021, Vol. 64 No. 9, Pages 62-71

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• Matthijs Jansen,
• Ana Lucia Vărbănescu,
• Valeriu Codreanu
• (2020)

DDLBench: Towards a Scalable Benchmarking Infrastructure for Distributed Deep Learning

2020 IEEE/ACM Fourth Workshop on Deep Learning on Supercomputers (DLS)

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• Ahmed Musaafir,
• Henk Dreuning,
• Alexandru Uta,
• Ana Lucia Vărbănescu
• (2020)

A Sampling-Based Tool for Scaling Graph Datasets

2020, ACM/SPEC International Conference on Performance Engineering (ICPE)

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• Alexandru Uta,
• Ana Lucia Vărbănescu,
• Ahmed Musaafir,
• Chris LeMaire,
• Alexandru Iosup
• (2018)

Exploring HPC and Big Data Convergence: A Graph Processing Study on Intel Knights Landing

Cluster 2018 : IEEE International Conference on Cluster Computing

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• Stijn Heldens,
• Ana Lucia Vărbănescu,
• Wing Lung Ngai,
• Tim Hegeman,
• Alexandru Iosup
• (2016)

Towards the Next Generation of Large-Scale Network Archives.

Euro-Par Workshops 2016: 571-579

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• Yong Guo,
• Ana Lucia Vărbănescu,
• Dick H.J. Epema,
• Alexandru Iosup
• (2016)

Design and Experimental Evaluation of Distributed Heterogeneous Graph-Processing Systems

CCGrid 2016: 203-212

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• Yong Guo,
• Ana Lucia Vărbănescu,
• Alexandru Iosup,
• Dick H.J. Epema
• (2015)

An Empirical Performance Evaluation of GPU-Enabled Graph-Processing Systems.

CCGRID 2015: 423-432

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• Alexandru Iosup,
• Mihai Capota,
• Tim Hegeman,
• Yong Guo,
• Wing Lung Ngai,
• Ana Lucia Vărbănescu,
• Merijn Verstraaten
• (2014)

Towards Benchmarking IaaS and PaaS Clouds for Graph Analytics.

WBDB 2014: 109-131

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• Yong Guo,
• Ana Lucia Vărbănescu,
• Alexandru Iosup,
• Claudio Martella,
• Theodore (Ted) Willke
• (2014)

Benchmarking graph-processing platforms: a vision.

ICPE 2014: 289-292

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• Yong Guo,
• Marcin Biczak,
• Ana Lucia Vărbănescu,
• Alexandru Iosup,
• Claudio Martella,
• Theodore (Ted) Willke
• (2014)

How Well Do Graph-Processing Platforms Perform? An Empirical Performance Evaluation and Analysis.

IPDPS 2014: 395-404

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Supervised Master Theses

• Matthijs Jansen,
• Ana Lucia Vărbănescu,
• Valeriu Codreanu,
• Alexandru Iosup
• (2020)

A Performance-Based Recommender System for Distributed DNN Training

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