Hardware Accelerators in Data Centers
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Beschreibung
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.
- Provides a single-source reference to the state of the art for hardware accelerators in data centers;
- Describes integrated frameworks for the seamless deployment of hardware accelerators;
- Includes several use-case scenarios of hardware accelerators for typical cloud computingapplications, such as machine learning, graph computation, and databases.
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.
Provides a single-source reference to the state of the art for hardware accelerators in data centers Describes integrated frameworks for the seamless deployment of hardware accelerators Includes several use-case scenarios of hardware accelerators for typical cloud computing applications, such as machine learning, graph computation, and databases
Autor*in
Christoforos Kachris
Themen in »Hardware Accelerators in Data Centers«
Internet of Things Hardware accelerators for Machine learning Hardware accelerators for Neural Networks Hardware accelerators for Graph applications Hardware accelerators for Streaming applications
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“The presented research includes discussions of the advantages, limitations, and scope of the proposed solutions. The references given at the end of every chapter offer scope for further reading. The presented work will enlighten readers about the ongoing research, tools and platforms used, available solutions, limitations, and underlying challenges; interested readers can use it to build their own research.” (Rinki Sharma, Computing Reviews, July 25, 2019)
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