Architecture of Computing Systems – ARCS 2019: 32nd International Conference, Copenhagen, Denmark, May 20–23, 2019, Proceedings: 11479 (Theoretical Computer Science and General Issues) - Tapa blanda

 
9783030186555: Architecture of Computing Systems – ARCS 2019: 32nd International Conference, Copenhagen, Denmark, May 20–23, 2019, Proceedings: 11479 (Theoretical Computer Science and General Issues)
Tapa blanda
ISBN 10: 3030186555 ISBN 13: 9783030186555
Editorial: Springer, 2019

Sinopsis

This book constitutes the proceedings of the 32nd International Conference on Architecture of Computing Systems, ARCS 2019, held in Copenhagen, Denmark, in May 2019.

The 24 full papers presented in this volume were carefully reviewed and selected from 40 submissions. ARCS has always been a conference attracting leading-edge research outcomes in Computer Architecture and Operating Systems, including a wide spectrum of topics ranging from embedded and real-time systems all the way to large-scale and parallel systems. The selected papers are organized in the following topical sections: Dependable systems; real-time systems; special applications; architecture; memory hierarchy; FPGA; energy awareness; NoC/SoC.

The chapter 'MEMPower: Data-Aware GPU Memory Power Model' is open access under a CC BY 4.0 license at link.springer.com.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

This book constitutes the proceedings of the 32nd International Conference on Architecture of Computing Systems, ARCS 2019, held in Copenhagen, Denmark, in May 2019.

The 24 full papers presented in this volume were carefully reviewed and selected from 40 submissions. ARCS has always been a conference attracting leading-edge research outcomes in Computer Architecture and Operating Systems, including a wide spectrum of topics ranging from embedded and real-time systems all the way to large-scale and parallel systems. The selected papers are organized in the following topical sections: Dependable systems; real-time systems; special applications; architecture; memory hierarchy; FPGA; energy awareness; NoC/SoC.

The chapter 'MEMPower: Data-Aware GPU Memory Power Model' is open access under a CC BY 4.0 license at link.springer.com.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2019
Idioma
Inglés
ISBN 10 
3030186555
ISBN 13 
9783030186555
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
356
Editor
Schoeberl Martin, Hochberger Christian, Uhrig Sascha, Brehm Jürgen, Pionteck Thilo
Contacto del fabricante
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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