Hardware Accelerators in Data Centers -

Hardware Accelerators in Data Centers

Buch | Hardcover
IX, 279 Seiten
2018 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-319-92791-6 (ISBN)
149,79 inkl. MwSt
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.

Christoforos Kachris is a Senior Research Associate at Institute of Communication and Computer Systems (ICCS) - National Technical University of Athens (NTUA) and assistant Professor at Democritus University of Thrace. From 2016 till 2019 he was the Technical Project Manager of VINEYARD EC-funded project that envisioned the adoption of FPGAs in the data centers for cloud computing applications and the emerging market of acceleration-as-a-service. Christoforos received his Ph.D. in computer engineering in 2007 from the Technical University of Delft, The Netherlands in 2008 and the diploma and the M.Sc. in Electronic and Computer Engineering from the Technical University of Crete, Greece in 2001 and 2003 respectively. In 2006 he was a research intern at Xilinx Research Labs, San Jose, CA, working at the Networks Group. From 2009 till 2010 he was a visiting lecturer at University of Crete and a visiting researcher at FORTH where he coordinated the Interconnects cluster of High Performance Embedded Architectures and Compilers (HiPEAC). From 2010 till 2015 he was senior research associate at Athens Information Technology (AIT). He has more than 16 years of experience on development of hardware accelerators (FPGA, reconfigurable computing) and more than 8 years' experience on technical project management of competitive European and National research projects (mainly for multi-million international European funder research projects). Babak Falsafi is a Professor in the Computer & Communication Sciences department at Ecole Polytechnique Federale de Lausanne (EPFL). He is the founding director of the EcoCloud research center targeting energy-efficient and environmentally friendly cloud technologies. His research interests are primarily centered around computer systems with emphasis on techniques for integration, specialization and approximation (ISA) to improve efficiency in datacenters, design for emerging technologies and design evaluation methodologies for servers.

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.

"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)

Erscheinungsdatum
Zusatzinfo IX, 279 p. 107 illus., 88 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 602 g
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Technik Elektrotechnik / Energietechnik
Schlagworte Hardware accelerators for Graph applications • Hardware accelerators for Machine learning • Hardware accelerators for Neural Networks • Hardware accelerators for Streaming applications • internet of things
ISBN-10 3-319-92791-4 / 3319927914
ISBN-13 978-3-319-92791-6 / 9783319927916
Zustand Neuware
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