Programming Massively Parallel Processors

Programming Massively Parallel Processors PDF
Author: David B. Kirk
Publisher: Morgan Kaufmann
ISBN: 9780128119860
Size: 45.60 MB
Format: PDF, ePub
Category :
Languages : en
Pages : 568
View: 715

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Programming Massively Parallel Processors: A Hands-on Approach, Third Edition shows both student and professional alike the basic concepts of parallel programming and GPU architecture, exploring, in detail, various techniques for constructing parallel programs. Case studies demonstrate the development process, detailing computational thinking and ending with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in-depth. For this new edition, the authors have updated their coverage of CUDA, including coverage of newer libraries, such as CuDNN, moved content that has become less important to appendices, added two new chapters on parallel patterns, and updated case studies to reflect current industry practices. Teaches computational thinking and problem-solving techniques that facilitate high-performance parallel computing Utilizes CUDA version 7.5, NVIDIA's software development tool created specifically for massively parallel environments Contains new and updated case studies Includes coverage of newer libraries, such as CuDNN for Deep Learning

Programming Massively Parallel Processors

Programming Massively Parallel Processors PDF
Author: David Kirk
Publisher: Morgan Kaufmann
ISBN: 9780123814722
Size: 19.89 MB
Format: PDF, Docs
Category : Computers
Languages : en
Pages : 258
View: 5858

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This work demonstrates the basic concepts of parallel programming and GPU architecture. It explores various techniques for constructing parallel programs in detail and features case studies to illuminate the development process.

Using Opencl

Using OpenCL PDF
Author: Janusz Kowalik
Publisher: IOS Press
ISBN: 1614990298
Size: 73.77 MB
Format: PDF, Mobi
Category : Computers
Languages : en
Pages : 295
View: 3922

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Programming Massively Parallel Processors

Programming Massively Parallel Processors PDF
Author: David Kirk
Publisher: Springer
ISBN: 9781441967176
Size: 55.20 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 300
View: 4735

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This groundbreaking textbook teaches readers how to program massively parallel processors to achieve high performance, and the approach does not require a great deal of hardware expertise. The presentation focuses on computational thinking techniques that enable readers to think about problems in ways that are amenable to parallel computing. Students will learn to complete a suite of API programming tools and techniques at least once, so that they will be able to apply the experience to other APIs and other tools in the future. This book teaches parallel programming for correct functionality and dependability, which constitute a subtle issue in parallel computing. Those who have worked on parallel systems in the past know that achieving initial performance is not enough. The challenge is to achieve it in such a way that you can later debug the code, reproduce the bugs when they reappear, and support the code. This book shows that with the CUDA programming model, which focuses on data parallelism, one can achieve both high-performance and high-reliability in their applications.

Programming Massively Parallel Processors

Programming Massively Parallel Processors PDF
Author: David B. Kirk
Publisher: Createspace Independent Publishing Platform
ISBN: 9781548845155
Size: 22.16 MB
Format: PDF, Mobi
Category :
Languages : en
Pages : 142
View: 1243

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GPUs can be used for much more than graphics processing. As opposed to a CPU, which can only run four or five threads at once, a GPU is made up of hundreds or even thousands of individual, low-powered cores, allowing it to perform thousands of concurrent operations. Because of this, GPUs can tackle large, complex problems on a much shorter time scale than CPUs. Dive into parallel programming on NVIDIA hardware with CUDA by Chris Rose, and learn the basics of unlocking your graphics card. This updated and expanded second edition of Book provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for all those interested in the subject . We hope you find this book useful in shaping your future career & Business.

Programming Massively Parallel Processors

Programming Massively Parallel Processors PDF
Author: David B. Kirk
Publisher: Createspace Independent Publishing Platform
ISBN: 9781548588038
Size: 56.35 MB
Format: PDF, ePub, Docs
Category :
Languages : en
Pages : 142
View: 7036

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GPUs can be used for much more than graphics processing. As opposed to a CPU, which can only run four or five threads at once, a GPU is made up of hundreds or even thousands of individual, low-powered cores, allowing it to perform thousands of concurrent operations. Because of this, GPUs can tackle large, complex problems on a much shorter time scale than CPUs. Dive into parallel programming on NVIDIA hardware with CUDA by Chris Rose, and learn the basics of unlocking your graphics card. This updated and expanded second edition of Book provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for all those interested in the subject . We hope you find this book useful in shaping your future career & Business.

Programming Massively Parallel Processors 2nd Edition

Programming Massively Parallel Processors  2nd Edition PDF
Author: David Kirk
Publisher:
ISBN:
Size: 34.10 MB
Format: PDF, ePub, Docs
Category : Software engineering
Languages : en
Pages : 514
View: 3340

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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.

Programming Massively Parallel Processors 3rd Edition

Programming Massively Parallel Processors  3rd Edition PDF
Author: David Kirk
Publisher:
ISBN:
Size: 69.45 MB
Format: PDF, ePub
Category :
Languages : en
Pages : 576
View: 4770

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Programming Massively Parallel Processors: A Hands-on Approach, Third Edition shows both student and professional alike the basic concepts of parallel programming and GPU architecture, exploring, in detail, various techniques for constructing parallel programs. Case studies demonstrate the development process, detailing computational thinking and ending with effective and efficient parallel programs. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in-depth. For this new edition, the authors have updated their coverage of CUDA, including coverage of newer libraries, such as CuDNN, moved content that has become less important to appendices, added two new chapters on parallel patterns, and updated case studies to reflect current industry practices. Teaches computational thinking and problem-solving techniques that facilitate high-performance parallel computing Utilizes CUDA version 7.5, NVIDIA's software development tool created specifically for massively parallel environments Contains new and updated case studies Includes coverage of newer libraries, such as CuDNN for Deep Learning.

Programming Massively Parallel Processors

Programming Massively Parallel Processors PDF
Author: Alex I. Wheeler
Publisher: CreateSpace
ISBN: 9781516851539
Size: 69.91 MB
Format: PDF, ePub, Docs
Category :
Languages : en
Pages : 120
View: 1750

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Thought-provoking and accessible in approach, this updated and expanded second edition of the Programming Massively Parallel Processors: A Hands-on Approach provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for advanced graduate-level students. We hope you find this book useful in shaping your future career. Feel free to send us your enquiries related to our publications to [email protected] Rise Press

Programming Massively Parallel Processors

Programming Massively Parallel Processors PDF
Author: David B. Kirk
Publisher: Newnes
ISBN: 0123914183
Size: 18.73 MB
Format: PDF, Kindle
Category : Computers
Languages : en
Pages : 514
View: 1383

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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

Studyguide For Programming Massively Parallel Processors

Studyguide for Programming Massively Parallel Processors PDF
Author: Cram101 Textbook Reviews
Publisher: Cram101
ISBN: 9781478495697
Size: 10.56 MB
Format: PDF, ePub, Docs
Category :
Languages : en
Pages : 72
View: 1062

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Never HIGHLIGHT a Book Again Virtually all testable terms, concepts, persons, places, and events are included. Cram101 Textbook Outlines gives all of the outlines, highlights, notes for your textbook with optional online practice tests. Only Cram101 Outlines are Textbook Specific. Cram101 is NOT the Textbook. Accompanys: 9780521673761

Mpi Eine Einf Hrung

MPI   Eine Einf  hrung PDF
Author: William Gropp
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3486841009
Size: 62.35 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : de
Pages : 387
View: 6208

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Message Passing Interface (MPI) ist ein Protokoll, das parallel Berechnungen auf verteilten, heterogenen, lose-gekoppelten Computersystemen ermöglicht. Das Buch beginnt mit einem kurzen Überblick über parallele Entwicklungsumgebungen und führt in die grundlegenden Konzepte ein. Anschließend wird gezeigt, wie anhand von graphischen Analysewerkzeugen die Leistungsfähigkeit eines Programms getestet werden kann. Die grundlegenden Fähigkeiten von MPI werden mittels des Poisson-Problems erörtert und gezeigt, wie MPI zur Umsetzung von virtuellen Topologien genutzt werden kann. Zur Illustration von anspruchsvolleren Funktionen des Message-Passing in MPI wird auf das N-Körper-Problem eingegangen. Nach einem Vergleich von MPI-Implementierungen mit anderen Systemen wird das Buch durch Sprachfestlegungen für C-, C++ und Fortran-Versionen aller MPI-Routinen abgerundet.

Machine Learning F R Softwareentwickler

Machine Learning f  r Softwareentwickler PDF
Author: Paolo Perrotta
Publisher: dpunkt.verlag
ISBN: 3969100267
Size: 61.41 MB
Format: PDF, Kindle
Category : Computers
Languages : de
Pages : 396
View: 2864

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Maschinelles Lernen programmieren lernen! Sie möchten sich mit dem maschinellen Lernen vertraut machen – aber wo beginnen? Selbst für Softwareentwickler*innen und Programmierer*innen ist der Einstieg manchmal nicht einfach. Es muss aber nicht so kompliziert sein: Starten Sie, indem Sie Zeile für Zeile Code schreiben, vom einfachen Machine-Learning- bis hin zum kompletten Deep-Learning-System. Schwierige Themen werden verständlich, wenn Sie sie in Teilprobleme zerlegen, sodass jeder Schritt leicht nachvollziehbar ist. Der Schwerpunkt des Buchs liegt auf den drei wichtigsten Aspekten des Machine Learning: auf überwachtem Lernen, neuronalen Netzen und Deep Learning. Indem Sie bei Null beginnen und den ganzen Weg bis zum Deep Learning gehen, werden Sie ganz allmählich mit der Materie vertraut. Weil Sie dazu den Python-Code selbst schreiben, ohne Bibliotheken, die das eigentliche Geschehen verschleiern, werden Sie besser verstehen, wie die Dinge funktionieren. Verstehen Sie Machine Learning, indem Sie es selbst programmieren!