Название: Hardware Accelerators in Data Centers Автор: Christoforos Kachris, Babak Falsafi, Dimitrios Soudris
Издательство: Springer
ISBN: 3319927914
Год: 2018 (2019 Edition)
Страниц: 280
Язык: английский
Формат: pdf (true), epub
Размер: 14.9 MB
This book provides readers with an overview of the architectures, programming frameworks, and hardware accelerators for typical cloud computing applications in data centers. The authors present the most recent and promising solutions, using hardware accelerators to provide high throughput, reduced latency and higher energy efficiency compared to current servers based on commodity processors. Readers will benefit from state-of-the-art information regarding application requirements in contemporary data centers, computational complexity of typical tasks in cloud computing, and a programming framework for the efficient utilization of the hardware accelerators.
Emerging cloud applications like machine learning, artificial intelligence (AI), deep neural networks, and big data analytics have created the need for more powerful data centers that can process huge amounts of data without consuming excessive amounts of power. To face these challenges, data center operators have to adopt novel architectures with specialized high-performance energy-efficient computing systems, such as hardware accelerators, that can process the increasing amount of data in a more energy-efficient way. To this end, a new era has emerged; the era of heterogeneous distributed computing systems that consist of contemporary general-purpose processors (CPUs), general-purpose graphic processing units (GP-GPUs), and field-programmable gate arrays (FPGAs or ACAP Adaptive Compute Acceleration Platform). The utilization of several heterogeneous architectures poses several challenges in the domain of efficient resource utilization, efficient scheduling, and resource management.
In this book, we have collected the most promising and the most recent research activities in this emerging domain of heterogeneous computing that is based on the efficient utilization of hardware accelerators (i.e., FPGAs). The book contains 13 system-level architectures that show how to efficiently utilize hardware accelerators in the data centers to face emerging cloud applications.
Contents:
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