Programming massively parallel processors a hands-on approach

Unlike normal programming books, it talks a lot about how GPUs work and how the introduced techniques fit in that picture. Strongly recommended.

Verlag Elsevier Reference Monographs, Kopierschutz DRM. Chapter 1 Introduction Chapter Outline 1. Microprocessors based on a single central processing unit CPU , such as those in the Intel Pentium family and the AMD Opteron family, drove rapid performance increases and cost reductions in computer applications for more than two decades. This relentless drive for performance improvement has allowed application software to provide more functionality, have better user interfaces, and generate more useful results. The users, in turn, demand even more improvements once they become accustomed to these improvements, creating a positive virtuous cycle for the computer industry.

Programming massively parallel processors a hands-on approach

In addition to explaining the language and the architecture, they define the nature of data parallel problems that run well on the heterogeneous CPU-GPU hardware This book is a valuable addition to the recently reinvigorated parallel computing literature. The hands-on learning included is cutting-edge, yet very readable. This is a most rewarding read for students, engineers, and scientists interested in supercharging computational resources to solve today's and tomorrow's hardest problems. They have done it again in this book. This joint venture of a passionate teacher and a GPU evangelizer tackles the trade-off between the simple explanation of the concepts and the in-depth analysis of the programming techniques. This is a great book to learn both massive parallel programming and CUDA. David Kirk and Wen-mei Hwu's new book is an important contribution towards educating our students on the ideas and techniques of programming for massively parallel processors. David Kirk and Wen-mei Hwu are the pioneers in this increasingly important field, and their insights are invaluable and fascinating. This book will be the standard reference for years to come. GPU programming is growing by leaps and bounds. This new book will be very welcomed and highly useful across inter-disciplinary fields. The rise of these multi-core architectures has raised the need to teach advanced programmers a new and essential skill: how to program massively parallel processors.

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Wen mei W. Hwu , David B. Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Various techniques for constructing parallel programs are explored in detail. Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs.

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. Kirk, Wen-mei W. Cooper, Linda Torczon. This entirely revised second edition of Engineering a Compiler is full of technical updates and new ….

Programming massively parallel processors a hands-on approach

Programming Massively Parallel Processors: A Hands-on Approach shows both students and professionals alike the basic concepts of parallel programming and GPU architecture. Concise, intuitive, and practical, it is based on years of road-testing in the authors' own parallel computing courses. Various techniques for constructing and optimizing parallel programs are explored in detail, while case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. New chapters on frequently used parallel patterns have been added, and case studies have been updated to reflect current industry practices. Wen-mei W. His research interests are in the area of architecture, implementation, compilation, and algorithms for parallel computing. Hwu received his Ph.

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Conclusion and outlook Abstract As of , the ratio of peak floating-point calculation throughput between many-thread GPUs and multicore CPUs is about Various techniques for constructing parallel programs are explored in detail. Navigation Navigation. This book is a valuable addition to the recently reinvigorated parallel computing literature. There are also live events, courses curated by job role, and more. The many-threads began with a large number of threads, and once again, the number of threads increases with each generation. This best-selling guide to CUDA and GPU parallel programming has been revised with more parallel programming examples, commonly-used libraries, and explanations of the latest tools. His research interests are in the areas of architecture, implementation, and software for high-performance computer systems. Application case study—molecular visualization and analysis Abstract Topplistor per kategori.

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.

Computer users have also become accustomed to the expectation that these programs run faster with each new generation of microprocessors. I wonder though, is the fourth edition worth buying another copy? Application case study—machine learning Abstract Ladda ned. The reduced area and power of the memory access hardware and arithmetic units allows the designers to have more of them on a chip and thus increase the total execution throughput. There is now a great need for software developers to learn about parallel programming, which is the focus of this book. Now that all new microprocessors are parallel computers, the number of applications that need to be developed as parallel programs has increased dramatically. Many-threads processors, especially the GPUs, have led the race of floating-point performance since The CPUs, on the other hand, are designed to minimize the execution latency of a single thread Programming Massively Parallel Processors: A Hands-on Approach shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Introduction Abstract 1.