Hardware Accelerators in Data Centers

• Corporate Author: SpringerLink (Online service)
• Other Authors: Kachris, Christoforos (Editor, http://id.loc.gov/vocabulary/relators/edt), Falsafi, Babak (Editor, http://id.loc.gov/vocabulary/relators/edt), Soudris, Dimitrios (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Electronic circuits.; Microprocessors.; Signal processing.; Image processing.; Speech processing systems.; Circuits and Systems.; Processor Architectures.; Signal, Image and Speech Processing.

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 l...

Table of Contents:

• Introduction
• Building the Infrastructure for Deploying FPGAs in the Cloud
• dReDBox: A Disaggregated Architectural Perspective for Data Centers
• The Green Computing Continuum: The OPERA Perspective
• SPynq: Acceleration of Machine Learning Applications over Spark on Pynq
• M2DC - A Novel Heterogeneous Hyperscale Microserver Platform
• Towards an Energy-aware Framework for Application Development and Execution in Heterogeneous Parallel Architectures
• Enabling Virtualized Programmable Logic Resources at the Edge and the Cloud
• Energy Efficient Servers and Cloud
• Towards Ubiquitous Low-power Image Processing Platforms
• Energy-efficient Heterogeneous COmputing at exaSCALE - ECOSCALE
• On Optimizing the Energy Consumption of Urban Data Centers.