Programming massively parallel processors a hands-on approach

Wen mei W. HwuDavid B.

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

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.

We have reached that point now.

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, 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.

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. 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.

Jejamma movie

Nur ebooks mit Firmenlizenz anzeigen: alle Medien Firmenlizenz. Many-threads processors, especially the GPUs, have led the race of floating-point performance since The speed of many applications is limited by the rate at which data can be delivered from the memory system into the processors. How does it compare to the docs from Nvidia, which always struck me as fairly comprehensive? Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in-depth. This book will be the standard reference for years to come. The design philosophy of GPUs is shaped by the fast-growing video game industry that exerts tremendous economic pressure for the ability to perform a massive number of floating-point calculations per video frame in advanced games. From to , Dr. The hands-on learning included is cutting-edge, yet very readable. The prevailing solution is to optimize for the execution throughput of massive numbers of threads. 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 Bokus Pluspriser. Online availability Parallel programming and computational thinking Abstract We have reached that point now.

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

The users, in turn, demand even more improvements once they become accustomed to these improvements, creating a positive virtuous cycle for the computer industry. Various techniques for constructing parallel programs are explored in detail. Kirk holds 50 patents and patent applications relating to graphics design and has published more than 50 articles on graphics technology, won several best-paper awards, and edited the book Graphics Gems III. Barnens bokrea. Neither control logic nor cache memories contribute to the peak calculation speed. CUDA dynamic parallelism Abstract Cooper, Linda Torczon. Logga in. Reklamera vara. Hwu , David B. Du kanske gillar. Overview Fingerprint.