The hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types of components: multicore/manycore central processing units and special purpose hardware/massively parallel accelerators. While these technologies have numerous benefits, they also pose substantial performance challenges for developers, including scalability, software tuning, and programming issues. Researchers at the Forefront Reveal Results from Their Own State-of-the-Art Work Edited by some of the top researchers in the field and with...
The hybrid/heterogeneous nature of future microprocessors and large high-performance computing systems will result in a reliance on two major types of...
State-of-the-Art Approaches to Advance the Large-Scale Green Computing Movement
Edited by one of the founders and lead investigator of the Green500 list, The Green Computing Book: Tackling Energy Efficiency at Large Scale explores seminal research in large-scale green computing. It begins with low-level, hardware-based approaches and then traverses up the software stack with increasingly higher-level, software-based approaches.
In the first chapter, the IBM Blue Gene team illustrates how to improve the energy efficiency of a...
State-of-the-Art Approaches to Advance the Large-Scale Green Computing Movement
With an emphasis on problem solving, this book introduces the basic principles and fundamental concepts of computational modeling. It emphasizes reasoning and conceptualizing problems, the elementary mathematical modeling, and the implementation using computing concepts and principles. Examples are included that demonstrate the computation and visualization of the implemented models.
The author provides case studies, along with an overview of computational models and their development. The first part of the text presents the basic concepts of models and techniques for...
With an emphasis on problem solving, this book introduces the basic principles and fundamental concepts of computational modeling. It emphasizes re...
This book describes the coarray parallel programming model that will be part of the next standard version of the Fortran language. It provides a practical guide for Fortran programmers who want to start writing parallel applications using coarrays as soon as the compilers become commercially available. The authors present the technical specification of the coarray model in enough detail for programmers to write standard-conforming code. They also offer a large number of examples of parallel algorithms written in the coarray model and include exercises with solutions. A supplementary...
This book describes the coarray parallel programming model that will be part of the next standard version of the Fortran language. It provides a pr...
Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, policies, and economic success. But this collaborative science is still lacking the effective access and exchange of knowledge among scientists, researchers, and policy makers across a range of disciplines. Bringing together leaders from multiple scientific disciplines, Data-Intensive Science shows how a comprehensive integration of various techniques and technological advances can effectively harness the vast amount of data being...
Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, polici...
Visualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive growth in data size and complexity and to exploit emerging multi- and many-core computational platforms. High Performance Visualization: Enabling Extreme-Scale Scientific Insight focuses on the subset of scientific visualization concerned with algorithm design, implementation, and optimization for use on today s largest computational platforms.
The book collects some of the most seminal work in the field, including...
Visualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive growth in ...
This book addresses the significant challenge in designing applications to effectively use high-performance computing architectures and offers methods to more effectively restructure applications to take advantage of these powerful nodes. The authors discuss the benefit of vectorization, providing examples run on current accelerators. They also explore issues with data locality when threading on the nodes and examine the accelerator in detail. The book describes programming environments for hybrid multicore systems, from the low level OpenCL and Cuda languages to new directive-based...
This book addresses the significant challenge in designing applications to effectively use high-performance computing architectures and offers meth...
Introduction to Computational Modeling Using C and Open-Source Tools presents the fundamental principles of computational models from a computer science perspective. It explains how to implement these models using the C programming language. The software tools used in the book include the Gnu Scientific Library (GSL), which is a free software library of C functions, and the versatile, open-source GnuPlot for visualizing the data. All source files, shell scripts, and additional notes are located at ksuweb.kennesaw.edu/ jgarrido/comp_models.
The book first presents an...
Introduction to Computational Modeling Using C and Open-Source Tools presents the fundamental principles of computational models f...
Industrial Applications of High-Performance Computing: Best Global Practices offers a global overview of high-performance computing (HPC) for industrial applications, along with a discussion of software challenges, business models, access models (e.g., cloud computing), public-private partnerships, simulation and modeling, visualization, big data analysis, and governmental and industrial influence.
Featuring the contributions of leading experts from 11 different countries, this authoritative book:
Provides a brief history of the development of the...
Industrial Applications of High-Performance Computing: Best Global Practices offers a global overview of high-performance computin...
Computational scientists need guidelines on best I/O practices, in order to make best use of existing I/O infrastructure. This book presents a detailed overview of Parallel I/O on current petascale platforms, including I/O hardware resources and filesystems at leading HPC facilities in the US. It covers the leading Parallel I/O libraries and includes case studies that illustrate the use of these libraries for conducting scientific computing. The book concludes with an overview of exascale trends and implications for parallel I/O.
Computational scientists need guidelines on best I/O practices, in order to make best use of existing I/O infrastructure. This book presents a detaile...
