
Accelerated Computing With HIP
Second Edition
Sun, Al Jannat, Baruah, Kaeli (Publisher)
Published on 31. January 2025
Book
Paperback/Softback
300 pages
979-8-218-57657-8 (ISBN)
Description
This book is designed for programmers who wish to use GPUs to improve application performance, and it is suitable for both AMD and NVIDIA GPU programmers, as HIP is a portable language that runs on both platforms. ROCm is open sourced, allowing other GPU developers to support this platform. This book does not require knowledge of CUDA programming, however, we highlight how HIP differs from CUDA while explaining how to port those programs to HIP, promoting interoperability such that a single application can be executed on different underlying hardware. For non-CUDA programmers, our book starts with the basics by presenting how HIP is a full-featured parallel programming language. Then, we provide coding examples that cover a wide range of relevant programming paradigms.
More details
Edition
Large type / large print edition
Language
English
Edition type
Large type / large print edition
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 20 mm
Weight
834 gr
ISBN-13
979-8-218-57657-8 (9798218576578)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Yifan Sun is an Assistant Professor in the Department of Computer Science at William & Mary, where he leads the Scalable Architecture Lab. He received his Ph.D. degree from the Department of Electrical and Computer Engineering at Northeastern University in 2020. His research interests lie in GPU architecture, performance evaluation, and performance modeling.