Demo Data from EDBT 2026 / reviewers in the wild / expert
Alberto Di Meglio
dblp:66/5480
· DBLP profile ↗
6ranked-venue papers
1as first author
4since 2021 · last 2024
0000-0001-6466-5413ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 3 · 3 since 2021Applied, interdisciplinary, general and emerging computing · 3 · 1 first-author · 1 since 2021Software engineering, systems software and programming languages · 2 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
High-performance computing · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational social science and digital humanities
agent-based simulation |
0.6 | 1 | 2022 | BioDynaMo: a modular platform for high-performance agent-based simulation · Bioinform. 2022 |
High-performance computing
scientific computing systems |
0.2 | 1 | 2022 | BioDynaMo: a modular platform for high-performance agent-based simulation · Bioinform. 2022 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Quantum-centric supercomputing for materials science: A perspective on challenges and future directions
Yuri Alexeev, Maximilian Amsler, Marco Antonio Barroca, Sanzio Bassini, Torey Battelle, Daan Camps, David Casanova, Young Jay Choi, Fred 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, William 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, Bert 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 0006, 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 W. Pitera, Patrick Rall, Gokul Subramanian Ravi, Niall Robertson, Matteo A. C. Rossi, Piotr Rydlichowski, Hoon Ryu, Georgy Samsonidze, Mitsuhisa Sato, Nishant Saurabh, Kunal Sharma, Soyoung Shin, George Slessman, Mathias Steiner, Iskandar Sitdikov, In-Saeng Suh, Eric D. Switzer, 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 W. Wojciechowski, Xiaodi Wu 0001, Shinjae Yoo, Nobuyuki Yoshioka, Victor Wen-zhe Yu, Seiji Yunoki, Sergiy Zhuk, Dmitry Zubarev |
Future Gener. Comput. Syst. | 14 |
| 2022 | BioDynaMo: a modular platform for high-performance agent-based simulationabstractMOTIVATION: Agent-based modeling is an indispensable tool for studying complex biological systems. However, existing simulation platforms do not always take full advantage of modern hardware and often have a field-specific software design. RESULTS: We present a novel simulation platform called BioDynaMo that alleviates both of these problems. BioDynaMo features a modular and high-performance simulation engine. We demonstrate that BioDynaMo can be used to simulate use cases in: neuroscience, oncology and epidemiology. For each use case, we validate our findings with experimental data or an analytical solution. Our performance results show that BioDynaMo performs up to three orders of magnitude faster than the state-of-the-art baselines. This improvement makes it feasible to simulate each use case with one billion agents on a single server, showcasing the potential BioDynaMo has for computational biology research. AVAILABILITY AND IMPLEMENTATION: BioDynaMo is an open-source project under the Apache 2.0 license and is available at www.biodynamo.org. Instructions to reproduce the results are available in the supplementary information. SUPPLEMENTARY INFORMATION: Available at https://doi.org/10.5281/zenodo.5121618. Lukas Breitwieser, Ahmad Hesam, Jean de Montigny, Vasileios Vavourakis, Alexandros Iosif, Jack Jennings, Marcus Kaiser, Marco Manca 0002, Alberto Di Meglio, Zaid Al-Ars, Fons Rademakers, Onur Mutlu, Roman Bauer 0001 |
Bioinform. | 9 |
| 2021 | A report on teaching a series of online lectures on quantum computing from CERN
Elías F. Combarro, Sofia Vallecorsa, Luis J. Rodríguez-Muñiz, Álvaro Aguilar-González, José Ranilla, Alberto Di Meglio |
J. Supercomput. | 6 |
| 2021 | Correction to: A report on teaching a series of online lectures on quantum computing from CERN
Elías F. Combarro, Sofia Vallecorsa, Luis J. Rodríguez-Muñiz, Álvaro Aguilar-González, José Ranilla, Alberto Di Meglio |
J. Supercomput. | 6 |
| 2012 | Towards next generations of software for distributed infrastructures: The European Middleware InitiativeabstractThe last two decades have seen an exceptional increase of the available networking, computing and storage resources. Scientific research communities have exploited these enhanced capabilities developing large scale collaborations, supported by distributed infrastructures. In order to enable usage of such infrastructures, several middleware solutions have been created. However such solutions, having been developed separately, have been resulting often in incompatible middleware and infrastructures. The European Middleware Initiative (EMI) is a collaboration, started in 2010, among the major European middleware providers (ARC, dCache, gLite, UNICORE), aiming to consolidate and evolve the existing middleware stacks, facilitating their interoperability and their deployment on large distributed infrastructures, establishing at the same time a sustainable model for the future maintenance and evolution of the middleware components. This paper presents the strategy followed for the achievements of these goals : after an analysis of the situation before EMI, it is given an overview of the development strategy, followed by the most notable technical results, grouped according to the four development areas (Compute, Data, Infrastructure, Security). The rigorous process ensuring the quality of provided software is then illustrated, followed by a description the release process, and of the relations with the user communities. The last section provides an outlook to the future, focusing on the undergoing actions looking toward the sustainability of activities. Cristina Aiftimiei, Alberto Aimar, Andrea Ceccanti, Marco Cecchi, Alberto Di Meglio, Florida Estrella, Patrick Fuhrmam, Emidio Giorgio, Balázs Kónya, Laurence Field, Jon K. Nilsen, Morris Riedel |
eScience | 5 |
| 2012 | On realizing the concept study ScienceSoft of the European Middleware Initiative: Open Software for Open ScienceabstractIn September 2011 the European Middleware Initiative (EMI) started discussing the feasibility of creating an open source community for science with other projects like EGI, StratusLab, OpenAIRE, iMarine, and IGE, SMEs like DCore, Maat, SixSq, SharedObjects, communities like WLCG and LSGC. The general idea of establishing an open source community dedicated to software for scientific applications was understood and appreciated by most people. However, the lack of a precise definition of goals and scope is a limiting factor that has also made many people sceptical of the initiative. In order to understand more precisely what such an open source initiative should do and how, EMI has started a more formal feasibility study around a concept called ScienceSoft - Open Software for Open Science. A group of people from interested parties was created in December 2011 to be the ScienceSoft Steering Committee with the short-term mandate to formalize the discussions about the initiative and produce a document with an initial high-level description of the motivations, issues and possible solutions and a general plan to make it happen. The conclusions of the initial investigation were presented at CERN in February 2012 at a ScienceSoft Workshop organized by EMI. Since then, presentations of ScienceSoft have been made in various occasions, in Amsterdam in January 2012 at the EGI Workshop on Sustainability, in Taipei in February at the ISGC 2012 conference, in Munich in March at the EGI/EMI Conference and at OGF 34 in March. This paper provides information this concept study ScienceSoft as an overview distributed to the broader scientific community to critique it. Alberto Di Meglio, Florida Estrella, Morris Riedel |
eScience | 1 |