ARCS2023: 36TH GI/ITG INTERNATIONAL CONFERENCE ON ARCHITECTURE OF COMPUTING SYSTEMS

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Al-Falouji, Ghassan	Autonomous ship collision avoidance trained on observational data
Anthimopoulos, Theologos	A Comparative Study of Neural Network Compilers on ARMv8 Architecture
B
Bertran Alvarez, Luis	COMPESCE: A Co-design Approach for memory subsystem Performance Analysis in HPC many-cores
Brinkschulte, Uwe	Towards Dependable Unmanned Aerial Vehicle Swarms Using Organic Computing Abstract Artificial DNA’s Improved Time Bounds Self-Adaptive Diagnosis and Reconfigurationin ADNA-Based Organic Computing
Brinkschulte, Uwe	Evaluating the Comprehensive Adaptive Chameleon Middleware for Mixed-Critical Cyber-Physical Networks
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Carro, Luigi	Overcoming the ReRAM scalibility challenges to optimize memory processing in NNs
Ciemala, Tobias	A Decision-Theoretic Approach for Prioritzing Maintenance Activities in Organic Computing Systems
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Dangl, Thomas	Retrofitting AMD x86 processors with active virtual machine introspection capabilities
Diegelmann, Jonas	Towards Dependable Unmanned Aerial Vehicle Swarms Using Organic Computing
Dolbeau, Romain	COMPESCE: A Co-design Approach for memory subsystem Performance Analysis in HPC many-cores
Duchrau, Georg	Modified Cross Parity Codes For Adjacent Double Error Correction
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Eichler, Christian	Back to the Core-Memory Age: Running Operating Systems in NVRAM only
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Falquez, Carlos	COMPESCE: A Co-design Approach for memory subsystem Performance Analysis in HPC many-cores
Feist, Melanie	Evaluating the Comprehensive Adaptive Chameleon Middleware for Mixed-Critical Cyber-Physical Networks
Fey, Dietmar	Optimization of OLAP In-memory DB Management Systems with PIM
Fão de Moura, Rafael	Overcoming the ReRAM scalibility challenges to optimize memory processing in NNs
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Giersch, Oliver	Back to the Core-Memory Age: Running Operating Systems in NVRAM only
Goessel, Michael	Modified Cross Parity Codes For Adjacent Double Error Correction
Görlich-Bucher, Markus	A Decision-Theoretic Approach for Prioritzing Maintenance Activities in Organic Computing Systems Predicting Physical Disturbances in Organic Computing Systems using Automated Machine Learning
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Heider, Michael	A Decision-Theoretic Approach for Prioritzing Maintenance Activities in Organic Computing Systems Predicting Physical Disturbances in Organic Computing Systems using Automated Machine Learning
Herkersdorf, Andreas	CoLeCTs: Cooperative Learning Classifier Tables for Resource Management in MPSoCs
Ho, Nam	COMPESCE: A Co-design Approach for memory subsystem Performance Analysis in HPC many-cores
Hochberger, Christian	Improved Condition Handling in CGRAs with Complex Loop Support
Homann, Philipp	Towards Dependable Unmanned Aerial Vehicle Swarms Using Organic Computing
Hosseinzadeh, Shima	Optimization of OLAP In-memory DB Management Systems with PIM
Hähner, Jörg	A Decision-Theoretic Approach for Prioritzing Maintenance Activities in Organic Computing Systems Predicting Physical Disturbances in Organic Computing Systems using Automated Machine Learning
Hönig, Timo	Back to the Core-Memory Age: Running Operating Systems in NVRAM only
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Jafanza, Vahid	Post-Silicon Customization Using Deep Neural Networks
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Kansal, Arnav	Post-Silicon Customization Using Deep Neural Networks
Kelefouras, Vasilios	A Comparative Study of Neural Network Compilers on ARMv8 Architecture
Keller, Jörg	Error Codes in and for Network Steganography
Keramidas, Georgios	A Comparative Study of Neural Network Compilers on ARMv8 Architecture
Koschowoj, Aleksey	Abstract Artificial DNA’s Improved Time Bounds Self-Adaptive Diagnosis and Reconfigurationin ADNA-Based Organic Computing
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Langsdorf, Saskia	Error Codes in and for Network Steganography
Ling, Tianheng	Energy Efficient LSTM Accelerators for Embedded FPGAs through Parameterised Architecture Design
Lohmann, Daniel	TOSTING: Investigating Total Store Ordering on ARM
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Marazakis, Manolis	COMPESCE: A Co-design Approach for memory subsystem Performance Analysis in HPC many-cores
Maurer, Florian	CoLeCTs: Cooperative Learning Classifier Tables for Resource Management in MPSoCs
Meckel, Simon	Self-Adaptive Diagnosis and Reconfigurationin ADNA-Based Organic Computing
Mungra, Dhara	Post-Silicon Customization Using Deep Neural Networks
Muzahid, Abdullah	Post-Silicon Customization Using Deep Neural Networks
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Nassyr, Stepan	COMPESCE: A Co-design Approach for memory subsystem Performance Analysis in HPC many-cores
Nguyen, Dustin	Back to the Core-Memory Age: Running Operating Systems in NVRAM only
Nocua Cifuentes, Jorge Alejandro	COMPESCE: A Co-design Approach for memory subsystem Performance Analysis in HPC many-cores
Nolte, Jörg	Back to the Core-Memory Age: Running Operating Systems in NVRAM only
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Obermaisser, Roman	Self-Adaptive Diagnosis and Reconfigurationin ADNA-Based Organic Computing
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Pacher, Mathias	Towards Dependable Unmanned Aerial Vehicle Swarms Using Organic Computing Evaluating the Comprehensive Adaptive Chameleon Middleware for Mixed-Critical Cyber-Physical Networks Self-Adaptive Diagnosis and Reconfigurationin ADNA-Based Organic Computing
Parvaresh, Amirhossein	Optimization of OLAP In-memory DB Management Systems with PIM
Petrakis, Polydoros	COMPESCE: A Co-design Approach for memory subsystem Performance Analysis in HPC many-cores
Pleiter, Dirk	COMPESCE: A Co-design Approach for memory subsystem Performance Analysis in HPC many-cores
Portero, Antoni	COMPESCE: A Co-design Approach for memory subsystem Performance Analysis in HPC many-cores
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Qian, Chao	Energy Efficient LSTM Accelerators for Embedded FPGAs through Parameterised Architecture Design
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Rabenstein, Jonas	Back to the Core-Memory Age: Running Operating Systems in NVRAM only
Raj, Utkarsh	Self-Adaptive Diagnosis and Reconfigurationin ADNA-Based Organic Computing
Reiser, Hans P.	Retrofitting AMD x86 processors with active virtual machine introspection capabilities
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Schiele, Gregor	Energy Efficient LSTM Accelerators for Embedded FPGAs through Parameterised Architecture Design
Schröder-Preikschat, Wolfgang	Back to the Core-Memory Age: Running Operating Systems in NVRAM only
Schwinger, Raphael	Autonomous ship collision avoidance trained on observational data
Sentanoe, Stewart	Retrofitting AMD x86 processors with active virtual machine introspection capabilities
Smirnov, Nikita	Real-Time Data Transmission Optimization on 5G Remote-Controlled Units using Deep Reinforcement Learning
Stabernack, Benno	FPGA-based Network-attached Accelerators – An Environmental Life Cycle Perspective
Stamoulis, Iakovos	A Comparative Study of Neural Network Compilers on ARMv8 Architecture
Steinert, Fritjof	FPGA-based Network-attached Accelerators – An Environmental Life Cycle Perspective
Suarez, Estela	COMPESCE: A Co-design Approach for memory subsystem Performance Analysis in HPC many-cores
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Tomforde, Sven	Real-Time Data Transmission Optimization on 5G Remote-Controlled Units using Deep Reinforcement Learning Autonomous ship collision avoidance trained on observational data
Töllner, Dominik	TOSTING: Investigating Total Store Ordering on ARM
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Weston, Kevin	Post-Silicon Customization Using Deep Neural Networks
Wild, Thomas	CoLeCTs: Cooperative Learning Classifier Tables for Resource Management in MPSoCs
Wirsch, Ramon	Improved Condition Handling in CGRAs with Complex Loop Support
Wrenger, Lars	TOSTING: Investigating Total Store Ordering on ARM
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Zahran, Mohamed	Post-Silicon Customization Using Deep Neural Networks
Zyla, Klajd	CoLeCTs: Cooperative Learning Classifier Tables for Resource Management in MPSoCs

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