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Hardware Accelerators in Data Centers

✍ Scribed by Christoforos Kachris, Babak Falsafi, Dimitrios Soudris


Publisher
Springer International Publishing
Year
2019
Tongue
English
Leaves
280
Edition
1st ed.
Category
Library

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✦ Synopsis


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.

✦ Table of Contents


Front Matter ....Pages i-ix
Introduction (Christoforos Kachris, Babak Falsafi, Dimitrios Soudris)....Pages 1-7
Building the Infrastructure for Deploying FPGAs in the Cloud (Naif Tarafdar, Thomas Lin, Daniel Ly-Ma, Daniel Rozhko, Alberto Leon-Garcia, Paul Chow)....Pages 9-33
dReDBox: A Disaggregated Architectural Perspective for Data Centers (Nikolaos Alachiotis, Andreas Andronikakis, Orion Papadakis, Dimitris Theodoropoulos, Dionisios Pnevmatikatos, Dimitris Syrivelis et al.)....Pages 35-56
The Green Computing Continuum: The OPERA Perspective (A. Scionti, O. Terzo, P. Ruiu, G. Giordanengo, S. Ciccia, G. Urlini et al.)....Pages 57-86
Energy-Efficient Acceleration of Spark Machine Learning Applications on FPGAs (Christoforos Kachris, Elias Koromilas, Ioannis Stamelos, Georgios Zervakis, Sotirios Xydis, Dimitrios Soudris)....Pages 87-107
M2DCβ€”A Novel Heterogeneous Hyperscale Microserver Platform (Ariel Oleksiak, Michal Kierzynka, Wojciech Piatek, Micha vor dem Berge, Wolfgang Christmann, Stefan Krupop et al.)....Pages 109-128
Towards an Energy-Aware Framework for Application Development and Execution in Heterogeneous Parallel Architectures (Karim Djemame, Richard Kavanagh, Vasilios Kelefouras, AdriΓ  AguilΓ , Jorge Ejarque, Rosa M. Badia et al.)....Pages 129-148
Enabling Virtualized Programmable Logic Resources at the Edge and the Cloud (Kimon Karras, Orthodoxos Kipouridis, Nick Zotos, Evangelos Markakis, George Bogdos)....Pages 149-162
Energy-Efficient Servers and Cloud (Huanhuan Xiong, Christos Filelis-Papadopoulos, Dapeng Dong, Gabriel G. CastaΓ±Γ©, Stefan Meyer, John P. Morrison)....Pages 163-180
Developing Low-Power Image Processing Applications with the TULIPP Reference Platform Instance (Tobias Kalb, Lester Kalms, Diana GΓΆhringer, Carlota Pons, Ananya Muddukrishna, Magnus Jahre et al.)....Pages 181-197
Energy-Efficient Heterogeneous Computing at exaSCALEβ€”ECOSCALE (Konstantinos Georgopoulos, Iakovos Mavroidis, Luciano Lavagno, Ioannis Papaefstathiou, Konstantin Bakanov)....Pages 199-213
On Optimizing the Energy Consumption of Urban Data Centers (Artemis C. Voulkidis, Terpsichori Helen Velivassaki, Theodore Zahariadis)....Pages 215-239
Improving the Energy Efficiency by Exceeding the Conservative Operating Limits (Lev Mukhanov, Konstantinos Tovletoglou, Georgios Karakonstantis, George Papadimitriou, Athanasios Chatzidimitriou, Manolis Kaliorakis et al.)....Pages 241-271
Back Matter ....Pages 273-279

✦ Subjects


Engineering; Circuits and Systems; Processor Architectures; Signal, Image and Speech Processing


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