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Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design
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General-Purpose Graphics Processor Architectures (Paperback)
Loot Price: R1,490
Discovery Miles 14 900
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General-Purpose Graphics Processor Architectures (Paperback)
Series: Synthesis Lectures on Computer Architecture
Expected to ship within 18 - 22 working days
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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. 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 3 and 4 provide an
overview of related research. Chapter 5 summarizes cross-cutting
research impacting both the compute core and memory system. 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.
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