Andreu Moreno Vendrell
AffiliationsInstitute of Electrical and Electronics Engineers
Professional homepagehttps://www.euss.cat/en/ficha-persona/1105685
ORCID more infohttps://orcid.org/0000-0002-0784-7138
GitHub more infoNo associated GitHub account.
Dr. Andreu Moreno Vendrell got the BS degree in Telecommunications Engineering in 1995 and the PhD in Telecommunications Engineering in 2000, both from Universitat Politècnica de Catalunya (Spain). Since 2005 his research is related to parallel and distributed computing. His main interests are focused on high performance parallel applications, automatic performance analysis and dynamic tuning, and agent based simulation systems. He has been involved in the definition of performance models for automatic and dynamic performance tuning and in the development of a new benchmark for agent based frameworks. He is lecturer at the Escola Universitària Salesiana de Sarrià, associated college of Universitat Autònoma de Barcelona. He is IEEE member.
Research Interests
Agent-based systems
Benchmark for RepastHPC Agent-based modeling and simulation (ABMS) platform
Andreu Moreno Vendrell Josep Jorba Eduardo César Anna Sikora | Published Friday, November 22, 2024Agent-based modeling and simulation (ABMS) is a class of computational models for simulating the actions and interactions of autonomous agents with the goal of assessing their effects on a system as a whole. Several frameworks for generating parallel ABMS applications have been developed taking advantage of their common characteristics, but there is a lack of a general benchmark for comparing the performance of generated applications. We propose and design a benchmark that takes into consideration the most common characteristics of this type of applications and includes parameters for influencing their relevant performance aspects. We provide an initial implementation of the benchmark for RepastHPC one of the most popular parallel ABMS platforms, and we use it for comparing the applications generated by these platforms.
Benchmark for FLAME Agent-based modeling and simulation (ABMS) platform
Andreu Moreno Vendrell Anna Sikora Eduardo César Josep Jorba | Published Friday, November 22, 2024Agent-based modeling and simulation (ABMS) is a class of computational models for simulating the actions and interactions of autonomous agents with the goal of assessing their effects on a system as a whole. Several frameworks for generating parallel ABMS applications have been developed taking advantage of their common characteristics, but there is a lack of a general benchmark for comparing the performance of generated applications. We propose and design a benchmark that takes into consideration the most common characteristics of this type of applications and includes parameters for influencing their relevant performance aspects. We provide an initial implementation of the benchmark for FLAME one of the most popular parallel ABMS platforms, and we use it for comparing the applications generated by these platforms.
Benchmark for DMASON
Andreu Moreno Vendrell Eduardo César Anna Sikora Josep Jorba Cristina Peralta Quesada | Published Friday, November 22, 2024Agent-based modeling and simulation (ABMS) is a class of computational models for simulating the actions and interactions of autonomous agents with the goal of assessing their effects on a system as a whole. Several frameworks for generating parallel ABMS applications have been developed taking advantage of their common characteristics, but there is a lack of a general benchmark for comparing the performance of generated applications. We propose and design a benchmark that takes into consideration the most common characteristics of this type of applications and includes parameters for influencing their relevant performance aspects. We provide an initial implementation of the benchmark for DMASON parallel ABMS platform, and we use it for comparing the applications generated by these platforms.
Contact Tracing agent model
Andreu Moreno Vendrell Eduardo César Anna Sikora Josep Jorba | Published Friday, November 22, 2024Contact Tracing Repast HPC agent model
Under development.