Although the highly anticipated petascale computers of the near future will perform at an order of magnitude faster than today's quickest supercomputer, the scaling up of algorithms and applications for this class of computers remains a tough challenge. From scalable algorithm design for massive concurrency toperformance analyses and scientific vis

This book provides state-of-the-art and interdisciplinary topics on solving matrix eigenvalue problems, particularly by using recent petascale and upcoming post-petascale supercomputers. It gathers selected topics presented at the International Workshops on Eigenvalue Problems: Algorithms; Software and Applications, in Petascale Computing (EPASA2014 and EPASA2015), which brought together leading researchers working on the numerical solution of matrix eigenvalue problems to discuss and exchange ideas – and in so doing helped to create a community for researchers in eigenvalue problems. The topics presented in the book, including novel numerical algorithms, high-performance implementation techniques, software developments and sample applications, will contribute to various fields that involve solving large-scale eigenvalue problems.

Covering research topics from system software such as programming languages, compilers, runtime systems, operating systems, communication middleware, and large-scale file systems, as well as application development support software and big-data processing software, this book presents cutting-edge software technologies for extreme scale computing. The findings presented here will provide researchers in these fields with important insights for the further development of exascale computing technologies. This book grew out of the post-peta CREST research project funded by the Japan Science and Technology Agency, the goal of which was to establish software technologies for exploring extreme performance computing beyond petascale computing. The respective were contributed by 14 research teams involved in the project. In addition to advanced technologies for large-scale numerical computation, the project addressed the technologies required for big data and graph processing, the complexity of memory hierarchy, and the power problem. Mapping the direction of future high-performance computing was also a central priority.

Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. - New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more - Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism - Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing

What Is Exascale Computing Exascale computing is a measurement of the capability of supercomputers; it refers to computing systems that are capable of calculating at least "1018 IEEE 754 Double Precision (64-bit) operations (multiplications and/or additions) per second (exaFLOP)." How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Exascale computing Chapter 2: Supercomputer Chapter 3: FLOPS Chapter 4: National Energy Research Scientific Computing Center Chapter 5: TOP500 Chapter 6: Performance per watt Chapter 7: Green500 Chapter 8: Petascale computing Chapter 9: List of fastest computers Chapter 10: Manycore processor Chapter 11: Supercomputing in India Chapter 12: K computer Chapter 13: Supercomputing in Japan Chapter 14: Supercomputing in Europe Chapter 15: Xeon Phi Chapter 16: Summit (supercomputer) Chapter 17: Frontier (supercomputer) Chapter 18: Fugaku (supercomputer) Chapter 19: Fujitsu A64FX Chapter 20: Aurora (supercomputer) Chapter 21: JUWELS (II) Answering the public top questions about exascale computing. (III) Real world examples for the usage of exascale computing in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of exascale computing' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of exascale computing.

The technical and cultural boundaries between modeling, simulation, and games are increasingly blurring, providing broader access to capabilities in modeling and simulation and further credibility to game-based applications. The purpose of this study is to provide a technical assessment of Modeling, Simulation, and Games (MS&G) research and development worldwide and to identify future applications of this technology and its potential impacts on government and society. Further, this study identifies feasible applications of gaming and simulation for military systems; associated vulnerabilities of, risks to, and impacts on critical defense capabilities; and other significant indicators and warnings that can help prevent or mitigate surprises related to technology applications by those with hostile intent. Finally, this book recommends priorities for future action by appropriate departments of the intelligence community, the Department of Defense research community, and other government entities. The Rise of Games and High Performance Computing for Modeling and Simulation will serve as a useful tutorial and reference document for this particular era in the evolution of MS&G. The book also highlights a number of rising capabilities facilitated by MS&G to watch for in the coming years.