The goal of this book is to provide helpful guidance to GPU programmers looking to develop HIP programs for the ROCm platform using GPUs. The reader of this book will learn how to reason through real-world problems and break them down into independent parts so that GPUs can be used to solve them efficiently. This text is designed to take programmers on a tour of GPU hardware design and demonstrate how to effectively leverage its unique hardware features to optimize software performance. Finally, the text includes instructions on how programmers can exploit the ROCm ecosystem by invoking libraries to perform linear algebra operations while leveraging multiple GPUs in one application.
关于作者
Dr. Kaeli received a BS and Ph D in Electrical Engineering from Rutgers University, and an MS in Computer Engineering from Syracuse University. He is a Distinguished Full Processor on the ECE faculty at Northeastern University, Boston, MA where he directs the Northeastern University Computer Architecture Research Laboratory (NUCAR). Prior to joining Northeastern in 1993, Kaeli spent 12 years at IBM, the last 7 at T.J. Watson Research Center, Yorktown Heights, NY. Dr. is a Fellow of both the ACM and IEEE.
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