Short Courses of ERCEMAPI 2025

Authors

Antonio Fernando Lavareda Jacob Junior (ed)
UEMA
Atslands Rego da Rocha (ed)
UFC
Eduilson Lívio Neves da Costa Carneiro (ed)
UFDPar

Keywords:

Chatbot, Paradigma Multiagente, LangChain, LangGraph, Aplicações Paralelas, Parallel Scalability Suite

Synopsis

This book gathers the tutorials presented at the Regional School of Computing of Ceará, Maranhão and Piauí (ERCEMAPI 2025), addressing topics related to agent-based artificial intelligence and performance analysis of parallel applications. The chapters discuss fundamental concepts and practical aspects of developing computational systems, including agent architectures based on Large Language Models (LLMs) and methods for evaluating scalability and efficiency in parallel computing environments. The first chapter presents the construction of chatbots and intelligent agents using the multi-agent paradigm with the LangChain and LangGraph frameworks, relating concepts from classical agent theory to their implementation in modern applications. The second chapter discusses profiling and scalability analysis of parallel applications, addressing metrics such as speedup, efficiency, and scalability, as well as the use of the Parallel Scalability Suite (PaScal Suite) for collecting and visualizing performance data. The book therefore serves as supporting material for students, researchers, and professionals interested in artificial intelligence and high-performance computing.

Chapters

  • 1. AI Agents: Building a Chatbot Using the Multi-Agent Paradigm with LangChain and LangGraph
    Gutemberg P. A. da Silva, Jailson C. Zarur, Luis H. M. Queiroz, Raimundo S. Moura
  • 2. Profiling and Visualization of Parallel Application Scalability Using the Parallel Scalability Suite
    Felipe H. Santos-da-Silva, João B. Fernandes, Anderson B. N. da Silva, Ítalo A. S. Assis, Samuel Xavier-de-Souza

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References

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Silva, Vitor, Nóbrega-da-Silva, Anderson, Valderrama Sakuyama, C., Manneback, Pierre, and Xavier-de-Souza, Samuel (2022). "A Minimally Intrusive Approach for Automatic Assessment of Parallel Performance Scalability of Shared-Memory HPC Applications". Electronics, vol. 11, no. 5. DOI: 10.3390/electronics11050689.

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Publication date

December 4, 2025

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Details about the available publication format: Full Volume

Full Volume

ISBN-13 (15)

978-85-7669-664-3