Multicore and GPU Programming

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  • Author : Gerassimos Barlas
  • Publisher : Elsevier
  • Pages : 698 pages
  • ISBN : 0124171400
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Multicore and GPU Programming

Download or Read online Multicore and GPU Programming full in PDF, ePub and kindle. this book written by Gerassimos Barlas and published by Elsevier which was released on 16 December 2014 with total page 698 pages. We cannot guarantee that Multicore and GPU Programming book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Multicore and GPU Programming offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore "massively parallel" computing. Using threads, OpenMP, MPI, and CUDA, it teaches the design and development of software capable of taking advantage of today’s computing platforms incorporating CPU and GPU hardware and explains how to transition from sequential programming to a parallel computing paradigm. Presenting material refined over more than a decade of teaching parallel computing, author Gerassimos Barlas minimizes the challenge with multiple examples, extensive case studies, and full source code. Using this book, you can develop programs that run over distributed memory machines using MPI, create multi-threaded applications with either libraries or directives, write optimized applications that balance the workload between available computing resources, and profile and debug programs targeting multicore machines. Comprehensive coverage of all major multicore programming tools, including threads, OpenMP, MPI, and CUDA Demonstrates parallel programming design patterns and examples of how different tools and paradigms can be integrated for superior performance Particular focus on the emerging area of divisible load theory and its impact on load balancing and distributed systems Download source code, examples, and instructor support materials on the book's companion website

Multicore and GPU Programming

Multicore and GPU Programming
  • Author : Gerassimos Barlas
  • Publisher : Elsevier
  • Release : 16 December 2014
GET THIS BOOK Multicore and GPU Programming

Multicore and GPU Programming offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore "massively parallel" computing. Using threads, OpenMP, MPI, and CUDA, it teaches the design and development of software capable of taking advantage of today’s computing platforms incorporating CPU and GPU hardware and explains how to transition from sequential programming to a parallel computing paradigm. Presenting material refined over more than a decade of teaching parallel computing, author Gerassimos Barlas minimizes the challenge

GPU Programming in MATLAB

GPU Programming in MATLAB
  • Author : Nikolaos Ploskas,Nikolaos Samaras
  • Publisher : Morgan Kaufmann
  • Release : 25 August 2016
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GPU programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would like to accelerate their codes using GPU programming without losing the many benefits of MATLAB. The book starts with coverage of the Parallel Computing Toolbox and other MATLAB toolboxes for GPU computing, which allow applications to be ported straightforwardly onto GPUs without extensive knowledge of GPU programming. The next part covers built-in, GPU-enabled features of MATLAB, including options to leverage

Parallel Programming

Parallel Programming
  • Author : Thomas Rauber,Gudula Rünger
  • Publisher : Springer Science & Business Media
  • Release : 13 June 2013
GET THIS BOOK Parallel Programming

Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed

Programming Multicore and Many core Computing Systems

Programming Multicore and Many core Computing Systems
  • Author : Sabri Pllana,Fatos Xhafa
  • Publisher : John Wiley & Sons
  • Release : 23 January 2017
GET THIS BOOK Programming Multicore and Many core Computing Systems

Programming multi-core and many-core computing systems Sabri Pllana, Linnaeus University, Sweden Fatos Xhafa, Technical University of Catalonia, Spain Provides state-of-the-art methods for programming multi-core and many-core systems The book comprises a selection of twenty two chapters covering: fundamental techniques and algorithms; programming approaches; methodologies and frameworks; scheduling and management; testing and evaluation methodologies; and case studies for programming multi-core and many-core systems. Program development for multi-core processors, especially for heterogeneous multi-core processors, is significantly more complex than for single-core processors.

Programming Multicore and Many core Computing Systems

Programming Multicore and Many core Computing Systems
  • Author : Sabri Pllana,Fatos Xhafa
  • Publisher : John Wiley & Sons
  • Release : 23 January 2017
GET THIS BOOK Programming Multicore and Many core Computing Systems

Programming multi-core and many-core computing systems Sabri Pllana, Linnaeus University, Sweden Fatos Xhafa, Technical University of Catalonia, Spain Provides state-of-the-art methods for programming multi-core and many-core systems The book comprises a selection of twenty two chapters covering: fundamental techniques and algorithms; programming approaches; methodologies and frameworks; scheduling and management; testing and evaluation methodologies; and case studies for programming multi-core and many-core systems. Program development for multi-core processors, especially for heterogeneous multi-core processors, is significantly more complex than for single-core processors.

Parallel and High Performance Computing

Parallel and High Performance Computing
  • Author : Robert Robey,Yuliana Zamora
  • Publisher : Simon and Schuster
  • Release : 24 August 2021
GET THIS BOOK Parallel and High Performance Computing

Parallel and High Performance Computing offers techniques guaranteed to boost your code’s effectiveness. Summary Complex calculations, like training deep learning models or running large-scale simulations, can take an extremely long time. Efficient parallel programming can save hours—or even days—of computing time. Parallel and High Performance Computing shows you how to deliver faster run-times, greater scalability, and increased energy efficiency to your programs by mastering parallel techniques for multicore processor and GPU hardware. About the technology Write fast,

Computational Physics

Computational Physics
  • Author : Rubin H. Landau,Manuel J Páez,Cristian C. Bordeianu
  • Publisher : John Wiley & Sons
  • Release : 10 July 2015
GET THIS BOOK Computational Physics

The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming. This upper-division text provides an unusually broad survey of the topics of modern computational physics from a multidisciplinary, computational science point of view. Its philosophy is rooted in learning by doing (assisted by many model programs), with new scientific

Parallel Programming with OpenACC

Parallel Programming with OpenACC
  • Author : Rob Farber
  • Publisher : Newnes
  • Release : 14 October 2016
GET THIS BOOK Parallel Programming with OpenACC

Parallel Programming with OpenACC is a modern, practical guide to implementing dependable computing systems. The book explains how anyone can use OpenACC to quickly ramp-up application performance using high-level code directives called pragmas. The OpenACC directive-based programming model is designed to provide a simple, yet powerful, approach to accelerators without significant programming effort. Author Rob Farber, working with a team of expert contributors, demonstrates how to turn existing applications into portable GPU accelerated programs that demonstrate immediate speedups. The book

Facing the Multicore Challenge III

Facing the Multicore Challenge III
  • Author : Rainer Keller,David Kramer,Jan-Philipp Weiß
  • Publisher : Springer
  • Release : 11 January 2013
GET THIS BOOK Facing the Multicore Challenge III

This state-of-the-art survey features topics related to the impact of multicore, manycore, and coprocessor technologies in science and large-scale applications in an interdisciplinary environment. The papers included in this survey cover research in mathematical modeling, design of parallel algorithms, aspects of microprocessor architecture, parallel programming languages, hardware-aware computing, heterogeneous platforms, manycore technologies, performance tuning, and requirements for large-scale applications. The contributions presented in this volume are an outcome of an inspiring conference conceived and organized by the editors at the

Facing the Multicore Challenge

Facing the Multicore Challenge
  • Author : Rainer Keller,David Kramer,Jan-Philipp Weiss
  • Publisher : Springer
  • Release : 05 October 2010
GET THIS BOOK Facing the Multicore Challenge

This survey of the impact of multicore and co-processor technologies on science as well as on large-scale interdisciplinary applications covers the state of the art in the field. It also points to a number of potentially fruitful areas for future research.

Trends in Functional Programming

Trends in Functional Programming
  • Author : Hans Wolfgang Loidl,Ricardo Peña
  • Publisher : Springer
  • Release : 13 August 2013
GET THIS BOOK Trends in Functional Programming

This book constitutes the thoroughly refereed revised selected papers of the 13th International Symposium on Trends in Functional Programming, TFP 2012, held in St Andrews, Scotland, UK in June 2012. The 18 revised full papers included in this volume were carefully and selected from 49 submissions and are complemented with an invited paper. They cover various aspects of trends in functional programming.

Task Scheduling for Multi core and Parallel Architectures

Task Scheduling for Multi core and Parallel Architectures
  • Author : Quan Chen,Minyi Guo
  • Publisher : Springer
  • Release : 23 November 2017
GET THIS BOOK Task Scheduling for Multi core and Parallel Architectures

This book presents task-scheduling techniques for emerging complex parallel architectures including heterogeneous multi-core architectures, warehouse-scale datacenters, and distributed big data processing systems. The demand for high computational capacity has led to the growing popularity of multicore processors, which have become the mainstream in both the research and real-world settings. Yet to date, there is no book exploring the current task-scheduling techniques for the emerging complex parallel architectures. Addressing this gap, the book discusses state-of-the-art task-scheduling techniques that are optimized for

Information Systems Architecture and Technology Proceedings of 38th International Conference on Information Systems Architecture and Technology ISAT 2017

Information Systems Architecture and Technology  Proceedings of 38th International Conference on Information Systems Architecture and Technology     ISAT 2017
  • Author : Leszek Borzemski,Jerzy Świątek,Zofia Wilimowska
  • Publisher : Springer
  • Release : 31 August 2017
GET THIS BOOK Information Systems Architecture and Technology Proceedings of 38th International Conference on Information Systems Architecture and Technology ISAT 2017

This three-volume set of books presents advances in the development of concepts and techniques in the area of new technologies and contemporary information system architectures. It guides readers through solving specific research and analytical problems to obtain useful knowledge and business value from the data. Each chapter provides an analysis of a specific technical problem, followed by the numerical analysis, simulation and implementation of the solution to the problem. The books constitute the refereed proceedings of the 2017 38th International Conference “