Special Issue: High Performance Computing for Advanced Modeling and Simulation of Materials - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Special Issue: High Performance Computing for Advanced Modeling and Simulation of Materials write by Jue Wang. This book was released on 2016. Special Issue: High Performance Computing for Advanced Modeling and Simulation of Materials available in PDF, EPUB and Kindle.
High Performance Computing for Advanced Modeling and Simulation of Materials
High Performance Computing for Advanced Modeling and Simulation of Materials - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook High Performance Computing for Advanced Modeling and Simulation of Materials write by Jue Wang. This book was released on 2017. High Performance Computing for Advanced Modeling and Simulation of Materials available in PDF, EPUB and Kindle.
Advances in Mathematical Methods and High Performance Computing
Advances in Mathematical Methods and High Performance Computing - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advances in Mathematical Methods and High Performance Computing write by Vinai K. Singh. This book was released on 2019-02-14. Advances in Mathematical Methods and High Performance Computing available in PDF, EPUB and Kindle. This special volume of the conference will be of immense use to the researchers and academicians. In this conference, academicians, technocrats and researchers will get an opportunity to interact with eminent persons in the field of Applied Mathematics and Scientific Computing. The topics to be covered in this International Conference are comprehensive and will be adequate for developing and understanding about new developments and emerging trends in this area. High-Performance Computing (HPC) systems have gone through many changes during the past two decades in their architectural design to satisfy the increasingly large-scale scientific computing demand. Accurate, fast, and scalable performance models and simulation tools are essential for evaluating alternative architecture design decisions for the massive-scale computing systems. This conference recounts some of the influential work in modeling and simulation for HPC systems and applications, identifies some of the major challenges, and outlines future research directions which we believe are critical to the HPC modeling and simulation community.
Modeling and Simulation in HPC and Cloud Systems
Modeling and Simulation in HPC and Cloud Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Modeling and Simulation in HPC and Cloud Systems write by Joanna Kołodziej. This book was released on 2018-01-30. Modeling and Simulation in HPC and Cloud Systems available in PDF, EPUB and Kindle. This book consists of eight chapters, five of which provide a summary of the tutorials and workshops organised as part of the cHiPSet Summer School: High-Performance Modelling and Simulation for Big Data Applications Cost Action on “New Trends in Modelling and Simulation in HPC Systems,” which was held in Bucharest (Romania) on September 21–23, 2016. As such it offers a solid foundation for the development of new-generation data-intensive intelligent systems. Modelling and simulation (MS) in the big data era is widely considered the essential tool in science and engineering to substantiate the prediction and analysis of complex systems and natural phenomena. MS offers suitable abstractions to manage the complexity of analysing big data in various scientific and engineering domains. Unfortunately, big data problems are not always easily amenable to efficient MS over HPC (high performance computing). Further, MS communities may lack the detailed expertise required to exploit the full potential of HPC solutions, and HPC architects may not be fully aware of specific MS requirements. The main goal of the Summer School was to improve the participants’ practical skills and knowledge of the novel HPC-driven models and technologies for big data applications. The trainers, who are also the authors of this book, explained how to design, construct, and utilise the complex MS tools that capture many of the HPC modelling needs, from scalability to fault tolerance and beyond. In the final three chapters, the book presents the first outcomes of the school: new ideas and novel results of the research on security aspects in clouds, first prototypes of the complex virtual models of data in big data streams and a data-intensive computing framework for opportunistic networks. It is a valuable reference resource for those wanting to start working in HPC and big data systems, as well as for advanced researchers and practitioners.
Computational Materials Engineering
Computational Materials Engineering - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Materials Engineering write by Maciej Pietrzyk. This book was released on 2015-07-14. Computational Materials Engineering available in PDF, EPUB and Kindle. Computational Materials Engineering: Achieving High Accuracy and Efficiency in Metals Processing Simulations describes the most common computer modeling and simulation techniques used in metals processing, from so-called "fast" models to more advanced multiscale models, also evaluating possible methods for improving computational accuracy and efficiency. Beginning with a discussion of conventional fast models like internal variable models for flow stress and microstructure evolution, the book moves on to advanced multiscale models, such as the CAFÉ method, which give insights into the phenomena occurring in materials in lower dimensional scales. The book then delves into the various methods that have been developed to deal with problems, including long computing times, lack of proof of the uniqueness of the solution, difficulties with convergence of numerical procedures, local minima in the objective function, and ill-posed problems. It then concludes with suggestions on how to improve accuracy and efficiency in computational materials modeling, and a best practices guide for selecting the best model for a particular application. Presents the numerical approaches for high-accuracy calculations Provides researchers with essential information on the methods capable of exact representation of microstructure morphology Helpful to those working on model classification, computing costs, heterogeneous hardware, modeling efficiency, numerical algorithms, metamodeling, sensitivity analysis, inverse method, clusters, heterogeneous architectures, grid environments, finite element, flow stress, internal variable method, microstructure evolution, and more Discusses several techniques to overcome modeling and simulation limitations, including distributed computing methods, (hyper) reduced-order-modeling techniques, regularization, statistical representation of material microstructure, and the Gaussian process Covers both software and hardware capabilities in the area of improved computer efficiency and reduction of computing time
