Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications

This book offers a detailed examination of advanced computational infrastructures, focusing on their design, architecture, and implementations for adaptive applications in scientific and engineering fields.

In Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications, the authors delve into the intricate world of computational infrastructures that support large-scale adaptive implementations. This comprehensive exploration covers the design, architectures, and implementations that are at the forefront of computational technology. It highlights the increasing demand for computing and storage resources driven by emerging scientific and engineering applications, which require sophisticated infrastructure to handle their dynamic and unpredictable nature.

The book is structured into three main parts. The first part emphasizes high-performance adaptive scientific applications, presenting real-world scenarios that underscore the necessity for advanced computational engines. The second part identifies popular adaptive computational infrastructures that facilitate these applications. The final section addresses specific runtime management schemes and partitioning methods that are essential for the effective operation of these infrastructures.

Additionally, the text offers valuable insights into recent research efforts and projects, providing a unique collection of solutions that have had a significant impact on the field. It serves as a vital resource for advanced courses in computational science and software engineering, catering to senior undergraduate and graduate students, as well as professionals in the industry. The cross-disciplinary approach ensures a thorough understanding of the challenges and design philosophies that underpin advanced computational infrastructures, making it an essential reference for anyone involved in this rapidly evolving domain.