Architecture Of Computing Systems Arcs 2008
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Architecture of Computing Systems - ARCS 2009
Author: Mladen Berekovic
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-02-25
This book constitutes the refereed proceedings of the 22nd International Conference on Architecture of Computing Systems, ARCS 2009, held in Delft, The Netherlands, in March 2009. The 21 revised full papers presented together with 3 keynote papers were carefully reviewed and selected from 57 submissions. This year's special focus is set on energy awareness. The papers are organized in topical sections on compilation technologies, reconfigurable hardware and applications, massive parallel architectures, organic computing, memory architectures, enery awareness, Java processing, and chip-level multiprocessing.
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.
Architecture of Computing Systems - ARCS 2010
Author: Christian Müller-Schloer
language: en
Publisher: Springer Science & Business Media
Release Date: 2010-02-17
This book constitutes the refereed proceedings of the 23rd International Conference on Architecture of Computing Systems, ARCS 2010, held in Hannover, Germany, in February 2010. The 20 revised full papers presented together with 1 keynote lecture were carefully reviewed and selected from 55 submissions. This year's special focus is set on heterogeneous systems. The papers are organized in topical sections on processor design, embedded systems, organic computing and self-organization, processor design and transactional memory, energy management in distributed environments and ad-hoc grids, performance modeling and benchmarking, as well as accelerators and GPUs.