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.

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.

Programming massively parallel processors a hands-on approach

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. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. For this new edition, the authors are updating their coverage of CUDA, including the concept of unified memory, and expanding content in areas such as threads, while still retaining its concise, intuitive, practical approach based on years of road-testing in the authors' own parallel computing courses. Kirk, Izzat El Hajj. Overview Fingerprint. Online availability

Mina sidor.

Unlike normal programming books, it talks a lot about how GPUs work and how the introduced techniques fit in that picture. Strongly recommended. I bought the first edition when it came out, and definitely it was a gold mine of information on the subject. I wonder though, is the fourth edition worth buying another copy? But none of that was present when this book came out in It would be great if the authors revisited all the early chapters to modernize that content, but that's a lot of work so I don't usually count on authors making such an effort for later editions. I also read the older edition and got the 4th for the second read recently.

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. David B. Kirk is well recognized for his contributions to graphics hardware and algorithm research. By the time he began his studies at Caltech, he had already earned B.

Programming massively parallel processors a hands-on approach

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 …. Skip to main content. There are also live events, courses curated by job role, and more. Start your free trial.

Jet ski rental dale hollow lake

Barnens bokrea. 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. Rather, the applications software that will continue to enjoy performance improvement with each new generation of microprocessors will be parallel programs, in which multiple threads of execution cooperate to complete the work faster. I bought the first edition when it came out, and definitely it was a gold mine of information on the subject. Parallel patterns: merge sort: An introduction to tiling with dynamic input data identification Abstract The prevailing solution is to optimize for the execution throughput of massive numbers of threads. A sequential program will only run on one of the processor cores, which will not become significantly faster than those in use today. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in-depth. For this new edition, the authors are updating their coverage of CUDA, including the concept of unified memory, and expanding content in areas such as threads, while still retaining its concise, intuitive, practical approach based on years of road-testing in the authors' own parallel computing courses. Nya deckare. Frakt och leverans. This drive, however, has slowed since due to energy consumption and heat dissipation issues that limited the increase of the clock frequency and the level of productive activities that can be performed in each clock period within a single CPU. But I might be wrong. This new book will be very welcomed and highly useful across inter-disciplinary fields.

Programming Massively Parallel Processors: A Hands-on Approach shows both students and professionals alike the basic concepts of parallel programming and GPU architecture.

Case studies demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. It covers new GPU features and architectures well. With these improvements, the book retains its concise, intuitive, practical approach based on years of road-testing in the authors' own parallel computing courses. Kirk, Izzat El Hajj. His research interests are in the areas of architecture, implementation, and software for high-performance computer systems. Aktuella erbjudanden. At NVIDIA, Kirk led graphics-technology development for some of today's most popular consumer-entertainment platforms, playing a key role in providing mass-market graphics capabilities previously available only on workstations costing hundreds of thousands of dollars. Barnens bokrea. 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. It would be great if the authors revisited all the early chapters to modernize that content, but that's a lot of work so I don't usually count on authors making such an effort for later editions. Firmenkunden Bibliotheken Buchhandel Verlage. 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.