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Multicore and GPU Programming

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

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Parallel Programming

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

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GPU Programming in MATLAB

GPU Programming in MATLAB
  • Author : Nikolaos Ploskas,Nikolaos Samaras
  • Publisher : Morgan Kaufmann
  • Release : 25 August 2016
GET THIS BOOKGPU Programming in MATLAB

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

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Computational Physics

Computational Physics
  • Author : Rubin H. Landau,Manuel J Páez,Cristian C. Bordeianu
  • Publisher : John Wiley & Sons
  • Release : 11 June 2015
GET THIS BOOKComputational 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

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Parallel and Concurrent Programming in Haskell

Parallel and Concurrent Programming in Haskell
  • Author : Simon Marlow
  • Publisher : "O'Reilly Media, Inc."
  • Release : 12 July 2013
GET THIS BOOKParallel and Concurrent Programming in Haskell

If you have a working knowledge of Haskell, this hands-on book shows you how to use the language’s many APIs and frameworks for writing both parallel and concurrent programs. You’ll learn how parallelism exploits multicore processors to speed up computation-heavy programs, and how concurrency enables you to write programs with threads for multiple interactions. Author Simon Marlow walks you through the process with lots of code examples that you can run, experiment with, and extend. Divided into separate

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Programming Multicore and Many-core Computing Systems

Programming Multicore and Many-core Computing Systems
  • Author : Sabri Pllana,Fatos Xhafa
  • Publisher : John Wiley & Sons
  • Release : 06 February 2017
GET THIS BOOKProgramming 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.

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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 BOOKTask 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

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Distributed and Parallel Architectures for Spatial Data

Distributed and Parallel Architectures for Spatial Data
  • Author : Alberto Belussi,Sara Migliorini
  • Publisher : MDPI
  • Release : 20 January 2021
GET THIS BOOKDistributed and Parallel Architectures for Spatial Data

This book aims at promoting new and innovative studies, proposing new architectures or innovative evolutions of existing ones, and illustrating experiments on current technologies in order to improve the efficiency and effectiveness of distributed and cluster systems when they deal with spatiotemporal data.

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Multicore Computing

Multicore Computing
  • Author : Sanguthevar Rajasekaran,Lance Fiondella,Mohamed Ahmed,Reda A. Ammar
  • Publisher : CRC Press
  • Release : 12 December 2013
GET THIS BOOKMulticore Computing

Every area of science and engineering today has to process voluminous data sets. Using exact, or even approximate, algorithms to solve intractable problems in critical areas, such as computational biology, takes time that is exponential in some of the underlying parameters. Parallel computing addresses this issue and has become affordable with the advent of multicore architectures. However, programming multicore machines is much more difficult due to oddities existing in the architectures. Offering insights into different facets of this area, Multicore

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Parallel Programming for Modern High Performance Computing Systems

Parallel Programming for Modern High Performance Computing Systems
  • Author : Pawel Czarnul
  • Publisher : CRC Press
  • Release : 05 March 2018
GET THIS BOOKParallel Programming for Modern High Performance Computing Systems

In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems. It first discusses selected and popular state-of-the-art computing devices and systems available today, These include multicore CPUs, manycore (co)processors, such

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Heterogeneous Computing with OpenCL

Heterogeneous Computing with OpenCL
  • Author : Benedict Gaster
  • Publisher : Newnes
  • Release : 13 November 2012
GET THIS BOOKHeterogeneous Computing with OpenCL

Heterogeneous Computing with OpenCL, Second Edition 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) such as AMD Fusion technology. It is the first textbook that presents OpenCL programming appropriate for the classroom and is intended to support a parallel programming course. Students will come away from this text with hands-on experience and significant knowledge of the syntax and use of OpenCL to address

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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 BOOKProgramming 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.

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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 “

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Parallel Programming and Optimization with Intel® Xeon PhiTM™ Coprocessors

Parallel Programming and Optimization with Intel® Xeon PhiTM™ Coprocessors
  • Author : Colfax International Staff
  • Publisher : Anonim
  • Release : 27 October 2021
GET THIS BOOKParallel Programming and Optimization with Intel® Xeon PhiTM™ Coprocessors

This book is targeted toward developers familiar with C/C++ programming in Linux. Developers with little parallel programming experience will be able to grasp the core concepts of these subjects from the detailed commentary in Chapter 3. For advanced developers familiar with multi-core and/or GPU programming, the ebook offers materials specific to Intel compilers and Intel® Xeon® family products, as well as optimization advice pertinent to Many Integrated Core (MIC) architecture.

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