Heterogeneous Computing & Multidisciplinary Applications PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Heterogeneous Computing & Multidisciplinary Applications PDF full book. Access full book title Heterogeneous Computing & Multidisciplinary Applications by Nobuhiko Koike. Download full books in PDF and EPUB format.
Author: Nobuhiko Koike Publisher: SIAM ISBN: 9780898714494 Category : Computers Languages : en Pages : 184
Book Description
This symposium brought together technology providers, application program developers, and industrial users of high performance computing systems. The articles address the current and future developments of computing systems for numerical simulation seen from these various viewpoints. The main issues raised include these questions:
Author: Nobuhiko Koike Publisher: SIAM ISBN: 9780898714494 Category : Computers Languages : en Pages : 184
Book Description
This symposium brought together technology providers, application program developers, and industrial users of high performance computing systems. The articles address the current and future developments of computing systems for numerical simulation seen from these various viewpoints. The main issues raised include these questions:
Author: Institute for Computer Applications in Science and Engineering Publisher: ISBN: Category : Computer architecture Languages : en Pages : 0
Book Description
Abstract: "Data parallel languages such as Vienna Fortran and HPF can be successfully applied to a wide range of numerical applications. However, many advanced scientific and engineering applications are of a multidisciplinary and heterogeneous nature and thus do not fit well into the data parallel paradigm. In this paper we present new Fortran 90 language extensions to fill this gap. Tasks can be spawned as asynchronous activities in a homogeneous or heterogeneous computing environment; they interact by sharing access to Shared Data Abstractions (SDAs). SDAs are an extension of Fortran 90 modules, representing a pool of common data, together with a set of methods for controlled access to these data and a mechanism for providing persistent storage. Our language supports the integration of data and task parallelism as well as nested task parallelism and thus can be used to express multidisciplinary applications in a natural and efficient way."
Author: Jack Dongarra Publisher: John Wiley & Sons ISBN: 0470508191 Category : Computers Languages : en Pages : 284
Book Description
An analytical overview of the state of the art, open problems, and future trends in heterogeneous parallel and distributed computing This book provides an overview of the ongoing academic research, development, and uses of heterogeneous parallel and distributed computing in the context of scientific computing. Presenting the state of the art in this challenging and rapidly evolving area, the book is organized in five distinct parts: Heterogeneous Platforms: Taxonomy, Typical Uses, and Programming Issues Performance Models of Heterogeneous Platforms and Design of Heterogeneous Algorithms Performance: Implementation and Software Applications Future Tre High Performance Heterogeneous Computing is a valuable¿reference for researchers and practitioners in the area of high performance heterogeneous computing. It also serves as an excellent supplemental text for graduate and postgraduate courses in related areas.
Author: David R. Kaeli Publisher: Morgan Kaufmann ISBN: 0128016493 Category : Computers Languages : en Pages : 330
Book Description
Heterogeneous Computing with OpenCL 2.0 teaches OpenCL and parallel programming for complex systems that may include a variety of device architectures: multi-core CPUs, GPUs, and fully-integrated Accelerated Processing Units (APUs). This fully-revised edition includes the latest enhancements in OpenCL 2.0 including: • Shared virtual memory to increase programming flexibility and reduce data transfers that consume resources • Dynamic parallelism which reduces processor load and avoids bottlenecks • Improved imaging support and integration with OpenGL Designed to work on multiple platforms, OpenCL will help you more effectively program for a heterogeneous future. Written by leaders in the parallel computing and OpenCL communities, this book explores memory spaces, optimization techniques, extensions, debugging and profiling. Multiple case studies and examples illustrate high-performance algorithms, distributing work across heterogeneous systems, embedded domain-specific languages, and will give you hands-on OpenCL experience to address a range of fundamental parallel algorithms. Updated content to cover the latest developments in OpenCL 2.0, including improvements in memory handling, parallelism, and imaging support Explanations of principles and strategies to learn parallel programming with OpenCL, from understanding the abstraction models to thoroughly testing and debugging complete applications Example code covering image analytics, web plugins, particle simulations, video editing, performance optimization, and more
Author: National Aeronautics and Space Administration NASA Publisher: ISBN: 9781729144206 Category : Languages : en Pages : 24
Book Description
Data parallel languages such as Vienna Fortran and HPF can be successfully applied to a wide range of numerical applications. However, many advanced scientific and engineering applications are of a multidisciplinary and heterogeneous nature and thus do not fit well into the data parallel paradigm. In this paper we present new Fortran 90 language extensions to fill this gap. Tasks can be spawned as asynchronous activities in a homogeneous or heterogeneous computing environment; they interact by sharing access to Shared Data Abstractions (SDA's). SDA's are an extension of Fortran 90 modules, representing a pool of common data, together with a set of Methods for controlled access to these data and a mechanism for providing persistent storage. Our language supports the integration of data and task parallelism as well as nested task parallelism and thus can be used to express multidisciplinary applications in a natural and efficient way. Chapman, Barbara and Mehrotra, Piyush and Vanrosendale, John and Zima, Hans Unspecified Center NAS1-19480; FWF-P8989-PHY; BMWF-GZ-308.9281-IV/3/93; RTOP 505-90-52-01...
Author: Olivier Terzo Publisher: CRC Press ISBN: 0429680031 Category : Computers Languages : en Pages : 315
Book Description
Heterogeneous Computing Architectures: Challenges and Vision provides an updated vision of the state-of-the-art of heterogeneous computing systems, covering all the aspects related to their design: from the architecture and programming models to hardware/software integration and orchestration to real-time and security requirements. The transitions from multicore processors, GPU computing, and Cloud computing are not separate trends, but aspects of a single trend-mainstream; computers from desktop to smartphones are being permanently transformed into heterogeneous supercomputer clusters. The reader will get an organic perspective of modern heterogeneous systems and their future evolution.
Author: Alexey L. Lastovetsky Publisher: John Wiley & Sons ISBN: 0470349484 Category : Computers Languages : en Pages : 440
Book Description
New approaches to parallel computing are being developed that make better use of the heterogeneous cluster architecture Provides a detailed introduction to parallel computing on heterogenous clusters All concepts and algorithms are illustrated with working programs that can be compiled and executed on any cluster The algorithms discussed have practical applications in a range of real-life parallel computing problems, such as the N-body problem, portfolio management, and the modeling of oil extraction
Author: Mohamed Zahran Publisher: Morgan & Claypool ISBN: 1450361005 Category : Computers Languages : en Pages : 127
Book Description
If you look around you will find that all computer systems, from your portable devices to the strongest supercomputers, are heterogeneous in nature. The most obvious heterogeneity is the existence of computing nodes of different capabilities (e.g. multicore, GPUs, FPGAs, ...). But there are also other heterogeneity factors that exist in computing systems, like the memory system components, interconnection, etc. The main reason for these different types of heterogeneity is to have good performance with power efficiency. Heterogeneous computing results in both challenges and opportunities. This book discusses both. It shows that we need to deal with these challenges at all levels of the computing stack: from algorithms all the way to process technology. We discuss the topic of heterogeneous computing from different angles: hardware challenges, current hardware state-of-the-art, software issues, how to make the best use of the current heterogeneous systems, and what lies ahead. The aim of this book is to introduce the big picture of heterogeneous computing. Whether you are a hardware designer or a software developer, you need to know how the pieces of the puzzle fit together. The main goal is to bring researchers and engineers to the forefront of the research frontier in the new era that started a few years ago and is expected to continue for decades. We believe that academics, researchers, practitioners, and students will benefit from this book and will be prepared to tackle the big wave of heterogeneous computing that is here to stay.
Author: Nobuhiko Koike
Author: Nobuhiko Koike
Author: Institute for Computer Applications in Science and Engineering
Author: Jack Dongarra
Author: David R. Kaeli
Author: National Aeronautics and Space Administration NASA
Author: Olivier Terzo
Author: Raj Kumar Batra
Author: Alexey L. Lastovetsky
Author: Mohamed Zahran
Author: Arthur Khiang Soon Yeo