Architecture Of Computing Systems Arcs 2011
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Architecture of Computing Systems - ARCS 2012
Author: Andreas Herkersdorf
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-02-09
This book constitutes the refereed proceedings of the 25th International Conference on Architecture of Computing Systems, ARCS 2012, held in Munich, Germany, in February/March 2012. The 20 revised full papers presented in 7 technical sessions were carefully reviewed and selected from 65 submissions. The papers are organized in topical sections on robustness and fault tolerance, power-aware processing, parallel processing, processor cores, optimization, and communication and memory.
Architecture of Computing Systems -- ARCS 2013
This book constitutes the refereed proceedings of the 26th International Conference on Architecture of Computing Systems, ARCS 2013, held in Prague, Czech Republic, in February 2013. The 29 papers presented were carefully reviewed and selected from 73 submissions. The topics covered are computer architecture topics such as multi-cores, memory systems, and parallel computing, adaptive system architectures such as reconfigurable systems in hardware and software, customization and application specific accelerators in heterogeneous architectures, organic and autonomic computing including both theoretical and practical results on self-organization, self-configuration, self-optimization, self-healing, and self-protection techniques, operating systems including but not limited to scheduling, memory management, power management, RTOS, energy-awareness, and green computing.
Architecture of Computing Systems – ARCS 2018
This book constitutes the proceedings of the 31st International Conference on Architecture of Computing Systems, ARCS 2018, held in Braunschweig, Germany, in April 2018. The 23 full papers presented in this volume were carefully reviewed and selected from 53 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.