The Mastery Of Computational Templating
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The Mastery of Computational Templating
In a world increasingly driven by data and computation, computational templates have emerged as a powerful tool for solving complex problems in various domains. This book provides a comprehensive and accessible introduction to computational templates, empowering readers to harness their full potential. With its focus on clarity and practical application, this book delves into the theoretical foundations of computational templates, explaining their mathematical principles and algorithmic properties in an intuitive manner. It also offers practical guidance on template design and implementation, covering topics such as language choice, performance optimization, and debugging techniques. This book is an invaluable resource for researchers, practitioners, and students interested in computational templates. It provides a solid foundation for understanding the concepts and techniques behind templates, enabling readers to develop effective and efficient solutions to complex problems. Moreover, this book serves as a valuable reference for professionals seeking to expand their knowledge of computational templates and apply them in their respective fields. With its in-depth insights and practical examples, it empowers readers to stay at the forefront of this rapidly evolving field. This book is a comprehensive guide to computational templates, covering their design, implementation, and applications. It is an essential resource for anyone looking to master this powerful technique and unlock its full potential for solving challenging problems in various fields. If you like this book, write a review!
Computational Science and Its Applications - ICCSA 2004
The natural mission of Computational Science is to tackle all sorts of human problems and to work out intelligent automata aimed at alleviating the b- den of working out suitable tools for solving complex problems. For this reason ComputationalScience,thoughoriginatingfromtheneedtosolvethemostch- lenging problems in science and engineering (computational science is the key player in the ?ght to gain fundamental advances in astronomy, biology, che- stry, environmental science, physics and several other scienti?c and engineering disciplines) is increasingly turning its attention to all ?elds of human activity. In all activities, in fact, intensive computation, information handling, kn- ledge synthesis, the use of ad-hoc devices, etc. increasingly need to be exploited and coordinated regardless of the location of both the users and the (various and heterogeneous) computing platforms. As a result the key to understanding the explosive growth of this discipline lies in two adjectives that more and more appropriately refer to Computational Science and its applications: interoperable and ubiquitous. Numerous examples of ubiquitous and interoperable tools and applicationsaregiveninthepresentfourLNCSvolumescontainingthecontri- tions delivered at the 2004 International Conference on Computational Science and its Applications (ICCSA 2004) held in Assisi, Italy, May 14–17, 2004.
Parallel Computing for Bioinformatics and Computational Biology
Author: Albert Y. Zomaya
language: en
Publisher: John Wiley & Sons
Release Date: 2006-04-14
Discover how to streamline complex bioinformatics applications with parallel computing This publication enables readers to handle more complex bioinformatics applications and larger and richer data sets. As the editor clearly shows, using powerful parallel computing tools can lead to significant breakthroughs in deciphering genomes, understanding genetic disease, designing customized drug therapies, and understanding evolution. A broad range of bioinformatics applications is covered with demonstrations on how each one can be parallelized to improve performance and gain faster rates of computation. Current parallel computing techniques and technologies are examined, including distributed computing and grid computing. Readers are provided with a mixture of algorithms, experiments, and simulations that provide not only qualitative but also quantitative insights into the dynamic field of bioinformatics. Parallel Computing for Bioinformatics and Computational Biology is a contributed work that serves as a repository of case studies, collectively demonstrating how parallel computing streamlines difficult problems in bioinformatics and produces better results. Each of the chapters is authored by an established expert in the field and carefully edited to ensure a consistent approach and high standard throughout the publication. The work is organized into five parts: * Algorithms and models * Sequence analysis and microarrays * Phylogenetics * Protein folding * Platforms and enabling technologies Researchers, educators, and students in the field of bioinformatics will discover how high-performance computing can enable them to handle more complex data sets, gain deeper insights, and make new discoveries.