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International Conference on Parallel and Distributed Computing in Science and Engineering

📅 18–19 May 2027 📍 Nonthaburi, Thailand 👤 Standard / Listener

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$165

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Conference session tracks

Key research areas covered across the sessions — tap a track to read more.

This track focuses on the latest advancements in parallel computing methodologies and their applications in various scientific fields. Participants will explore innovative algorithms and architectures that enhance computational efficiency and scalability.

This session addresses the challenges and solutions in distributed computing for conducting large-scale simulations. Contributions will highlight case studies and frameworks that optimize resource utilization across distributed systems.

This track emphasizes the role of high-performance computing in accelerating scientific research across disciplines. Papers will discuss novel applications and performance benchmarks that demonstrate the impact of HPC on research outcomes.

This session explores the integration of machine learning and artificial intelligence techniques in computational science. Researchers will present methodologies that leverage AI to enhance data analysis and predictive modeling.

This track focuses on the development and application of optimization algorithms for solving complex problems in various scientific domains. Discussions will include both theoretical advancements and practical implementations.

This session examines the role of cloud computing in facilitating data-intensive applications and computational tasks. Contributions will showcase cloud-based frameworks that improve accessibility and scalability of computational resources.

This track delves into the development and application of numerical methods in scientific computing. Participants will share insights on innovative techniques that enhance accuracy and efficiency in numerical simulations.

This session focuses on the application of statistical modeling and quantitative analysis in various scientific contexts. Researchers will present methodologies that improve data interpretation and decision-making processes.

This track addresses the scalability challenges faced in computational science applications. Discussions will focus on strategies and solutions that enable efficient scaling of algorithms and systems.

This session highlights innovative simulation techniques that advance our understanding of complex systems. Participants will explore new approaches that enhance the fidelity and efficiency of simulations across disciplines.

This track showcases various research applications that utilize parallel and distributed computing methodologies. Contributions will highlight real-world case studies that demonstrate the transformative impact of these technologies in scientific research.