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Architecture of computing systems = 35th International Conference, ARCS 2022, Heilbronn, Germany, September 13-15, 2022 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Architecture of computing systems/ edited by Martin Schulz ... [et al.].
Reminder of title:	35th International Conference, ARCS 2022, Heilbronn, Germany, September 13-15, 2022 : proceedings /
remainder title:	ARCS 2022
other author:	Schulz, Martin.
corporate name:	ARCS (Conference)
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xvii, 287 p. :ill., digital ;24 cm.
[NT 15003449]:	Energy 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.
Contained By:	Springer Nature eBook
Subject:	Computer architecture - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-21867-5
ISBN:	9783031218675

Architecture of computing systems = 35th International Conference, ARCS 2022, Heilbronn, Germany, September 13-15, 2022 : proceedings /
Architecture of computing systems35th International Conference, ARCS 2022, Heilbronn, Germany, September 13-15, 2022 : proceedings /[electronic resource] :ARCS 2022edited by Martin Schulz ... [et al.]. - Cham :Springer International Publishing :2022. - xvii, 287 p. :ill., digital ;24 cm. - Lecture notes in computer science,136420302-9743 ;. - Lecture notes in computer science ;13642..

Energy 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.

This 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.

ISBN: 9783031218675

Standard No.: 10.1007/978-3-031-21867-5doiSubjects--Topical Terms:

678568
Computer architecture
--Congresses.

LC Class. No.: QA76.9.A73 / A73 2022

Dewey Class. No.: 004.22

Architecture of computing systems = 35th International Conference, ARCS 2022, Heilbronn, Germany, September 13-15, 2022 : proceedings /
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505 0 $a Energy 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 $a This 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.
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