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.
Special Issue: High Performance Computing for Advanced Modeling and Simulation of Materials
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.
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.
High-Performance Computing Applications in Numerical Simulation and Edge Computing
High-Performance Computing Applications in Numerical Simulation and Edge 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 High-Performance Computing Applications in Numerical Simulation and Edge Computing write by Changjun Hu. This book was released on 2019-08-28. High-Performance Computing Applications in Numerical Simulation and Edge Computing available in PDF, EPUB and Kindle. This book constitutes the referred proceedings of two workshops held at the 32nd ACM International Conference on Supercomputing, ACM ICS 2018, in Beijing, China, in June 2018. This volume presents the papers that have been accepted for the following workshops: Second International Workshop on High Performance Computing for Advanced Modeling and Simulation in Nuclear Energy and Environmental Science, HPCMS 2018, and First International Workshop on HPC Supported Data Analytics for Edge Computing, HiDEC 2018. The 20 full papers presented during HPCMS 2018 and HiDEC 2018 were carefully reviewed and selected from numerous submissions. The papers reflect such topics as computing methodologies; parallel algorithms; simulation types and techniques; machine learning.
The Art of High Performance Computing for Computational Science, Vol. 2
The Art of High Performance Computing for Computational Science, Vol. 2 - 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 The Art of High Performance Computing for Computational Science, Vol. 2 write by Masaaki Geshi. This book was released on 2019-10-01. The Art of High Performance Computing for Computational Science, Vol. 2 available in PDF, EPUB and Kindle. This book presents advanced and practical techniques for performance optimization for highly parallel processing. Featuring various parallelization techniques in material science, it is a valuable resource for anyone developing software codes for computational sciences such as physics, chemistry, biology, earth sciences, space science, weather, disaster prevention and manufacturing, as well as for anyone using those software codes. Chapter 1 outlines supercomputers and includes a brief explanation of the history of hardware. Chapter 2 presents procedures for performance evaluation, while Chapter 3 describes the set of tuned applications in materials science, nanoscience and nanotechnology, earth science and engineering on the K computer. Introducing the order-N method, based on density functional theory (DFT) calculation, Chapter 4 explains how to extend the applicability of DFT to large-scale systems by reducing the computational complexity. Chapter 5 discusses acceleration and parallelization in classical molecular dynamics simulations, and lastly, Chapter 6 explains techniques for large-scale quantum chemical calculations, including the order-N method. This is the second of the two volumes that grew out of a series of lectures in the K computer project in Japan. The first volume addresses more basic techniques, and this second volume focuses on advanced and concrete techniques.
