Description
Morgan General-Purpose Graphics Processor Architectures by Tor M. Aamodt, Wilson Wai Lun Fung, Timothy G. Rogers
Originally developed to support video games, graphics processor units (GPUs) are now increasingly used for general-purpose (non-graphics) applications ranging from machine learning to mining of cryptographic currencies. GPUs can achieve improved performance and efficiency versus central processing units (CPUs) by dedicating a larger fraction of hardware resources to computation. In addition, their general-purpose programmability makes contemporary GPUs appealing to software developers in comparison to domain-specific accelerators. This book provides an introduction to those interested in studying the architecture of GPUs that support general-purpose computing. It collects together information currently only found among a wide range of disparate sources. The authors led development of the GPGPU-Sim simulator widely used in academic research on GPU architectures._x000D__x000D_The first chapter of this book describes the basic hardware structure of GPUs and provides a brief overview of their history. Chapter 2 provides a summary of GPU programming models relevant to the rest of the book. Chapter 3 explores the architecture of GPU compute cores. Chapter 4 explores the architecture of the GPU memory system. After describing the architecture of existing systems, Chapters \ref{ch03} and \ref{ch04} provide an overview of related research. Chapter 5 summarizes cross-cutting research impacting both the compute core and memory system._x000D__x000D_This book should provide a valuable resource for those wishing to understand the architecture of graphics processor units (GPUs) used for acceleration of general-purpose applications and to those who want to obtain an introduction to the rapidly growing body of research exploring how to improve the architecture of these GPUs._x000D_ Table of contents :- _x000D_
Preface_x000D_
Acknowledgments_x000D_
Introduction_x000D_
Programming Model_x000D_
The SIMT Core: Instruction and Register Data Flow_x000D_
Memory System_x000D_
Crosscutting Research on GPU Computing Architectures_x000D_
Bibliography_x000D_
Authors' Biographies_x000D_