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020 _a9783031218675
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024 7 _a10.1007/978-3-031-21867-5
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072 7 _aCOM043000
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082 0 4 _a004.6
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245 1 0 _aArchitecture of Computing Systems
_h[electronic resource] :
_b35th International Conference, ARCS 2022, Heilbronn, Germany, September 13-15, 2022, Proceedings /
_cedited by Martin Schulz, Carsten Trinitis, Nikela Papadopoulou, Thilo Pionteck.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _aXVII, 287 p. 137 illus., 98 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
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347 _atext file
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490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v13642
505 0 _aEnergy Efficiency -- Energy Efficient Frequency Scaling on GPUs in Heterogeneous HPC Systems -- Dual-IS: Instruction Set Modality for Efficient Instruction Level Parallelism -- Pasithea-1: An Energy-Efficient Self-Contained CGRA With RISC-Like ISA -- Applied Machine Learning -- Orchestrated Co-Scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning -- FPGA-based Dynamic Deep Learning Acceleration for Real-time Video Analytics -- Advanced Computing Techniques -- Effects of Approximate Computing on Workload Characteristics -- QPU-System Co-Design for Quantum HPC Accelerators -- Hardware and Software System Security -- Protected Functions: User Space Privileged Function Calls -- Using Look Up Table Content as Signatures to Identify IP Cores in Modern FPGAs -- Hardware Isolation Support for Low-Cost SoC-FPGAs -- Reliable and Fault-tolerant systems -- Memristor based FPGAs: Understanding the Effect of Configuration Memory Faults -- On the Reliability of Real-time Operating System on Embedded Soft Processor for Space Applications -- Special Track: Organic Computing -- NDNET: a Unified Framework for Anomaly and Novelty Detection -- Organic Computing to Improve the Dependability of an Automotive Environment -- A context aware and self-improving monitoring system for field vegetables -- Semi-Model-Based Reinforcement Learning in Organic Computing Systems -- Deep Reinforcement Learning with a Classifier System - First Steps -- GAE-LCT: A run-time GA-based Classifier Evolution Method for Hardware LCT controlled SoC Performance-Power Optimization.
520 _aThis book constitutes the proceedings of the 35th International Conference on Architecture of Computing Systems, ARCS 2022, held virtually in July 2022. The 18 full papers in this volume were carefully reviewed and selected from 35 submissions. ARCS provides a platform covering newly emerging and cross-cutting topics, such as autonomous and ubiquitous systems, reconfigurable computing and acceleration, neural networks and artificial intelligence. The selected papers cover a variety of topics from the ARCS core domains, including energy efficiency, applied machine learning, hardware and software system security, reliable and fault-tolerant systems and organic computing.
650 0 _aComputer networks .
_931572
650 0 _aComputer systems.
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650 0 _aComputer engineering.
_910164
650 0 _aArtificial intelligence.
_93407
650 0 _aComputers.
_98172
650 1 4 _aComputer Communication Networks.
_9105302
650 2 4 _aComputer System Implementation.
_938514
650 2 4 _aComputer Engineering and Networks.
_9105303
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aComputer Hardware.
_933420
700 1 _aSchulz, Martin.
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700 1 _aTrinitis, Carsten.
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700 1 _aPapadopoulou, Nikela.
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700 1 _aPionteck, Thilo.
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710 2 _aSpringerLink (Online service)
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Computer Science,
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856 4 0 _uhttps://doi.org/10.1007/978-3-031-21867-5
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