Accelerated Computing With HIP - Sun, Yifan; Al Jannat, Sabila; Baruah, Trinayan
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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…mehr

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Produktbeschreibung
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.
Autorenporträt
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.