ARCS 2022: INTERNATIONAL CONFERENCE ON ARCHITECTURE OF COMPUTING SYSTEMS

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Arima, Eishi	Orchestrated Co-Scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning
Asghar, Ali	Using Look Up Table Content as Signatures to Identify IP Cores in Modern FPGAs
Azimi, Sarah	On the Reliability of Real-time Operating System on Embedded Soft Processor for Space Applications
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Becher, Andreas	Using Look Up Table Content as Signatures to Identify IP Cores in Modern FPGAs
Bieshaar, Maarten	NDNET: a Unified Framework for Anomaly and Novelty Detection
Botache, Diego	NDNET: a Unified Framework for Anomaly and Novelty Detection
Boysen, Jonas	A context aware and self-improving monitoring system for field vegetables
Brinkmann, André	Protected Functions: User Space Privileged Function Calls
Brinkschulte, Uwe	Organic Computing to Improve the Dependability of an Automotive Environment
Böhm, Felix	Hardware Isolation Support for Low-Cost SoC-FPGAs
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De Sio, Corrado	On the Reliability of Real-time Operating System on Embedded Soft Processor for Space Applications
Decke, Jens	NDNET: a Unified Framework for Anomaly and Novelty Detection
Doan, Nguyen Anh Vu	GAE-LCT: A run-time GA-based Classifier Evolution Method for Hardware LCT controlled SoC Performance-Power Optimization
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Gao, Cong	FPGA-based Dynamic Deep Learning Acceleration for Real-time Video Analytics
Gerfers, Friedel	Pasithea-1: An Energy-Efficient Self-Contained CGRA With RISC-Like ISA
Goumas, Georgios	SpMV: An embarrassing kernel for modern compute devices
Gruhl, Christian	NDNET: a Unified Framework for Anomaly and Novelty Detection
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Hepola, Kari	Dual-IS: Instruction Set Modality for Efficient Instruction Level Parallelism
Herkersdorf, Andreas	GAE-LCT: A run-time GA-based Classifier Evolution Method for Hardware LCT controlled SoC Performance-Power Optimization
Hochberger, Christian	Memristor based FPGAs: Understanding the Effect of Configuration Memory Faults
Hähner, Jörg	Semi-Model-Based Reinforcement Learning in Organic Computing Systems
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Juurlink, Ben	Effects of Approximate Computing on Workload Characteristics
Jääskeläinen, Pekka	Dual-IS: Instruction Set Modality for Efficient Instruction Level Parallelism
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Kaiser, Tobias	Pasithea-1: An Energy-Efficient Self-Contained CGRA With RISC-Like ISA
Kerger, Daniel	Energy Efficient Frequency Scaling on GPUs in Heterogeneous HPC Systems
Kisselbach, Timo	Organic Computing to Improve the Dependability of an Automotive Environment
Klemm, Michael	Low-level Fun with Parallel Runtime Systems
Kraljic, Karlo	Energy Efficient Frequency Scaling on GPUs in Heterogeneous HPC Systems
Kuper, Henning	A context aware and self-improving monitoring system for field vegetables
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Liu, Dai	Orchestrated Co-Scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning
Lu, Yufan	FPGA-based Dynamic Deep Learning Acceleration for Real-time Video Analytics
Lüling, Nils	A context aware and self-improving monitoring system for field vegetables
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Maier, Daniel	Effects of Approximate Computing on Workload Characteristics
Mauerer, Wolfgang	QPU-System Co-Design for Quantum HPC Accelerators
Maurer, Florian	GAE-LCT: A run-time GA-based Classifier Evolution Method for Hardware LCT controlled SoC Performance-Power Optimization
McDonald-Maier, Klaus	FPGA-based Dynamic Deep Learning Acceleration for Real-time Video Analytics
Meckel, Simon	Organic Computing to Improve the Dependability of an Automotive Environment
Moti, Nafiseh	Protected Functions: User Space Privileged Function Calls
Multanen, Joonas	Dual-IS: Instruction Set Modality for Efficient Instruction Level Parallelism
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Obermaisser, Roman	Organic Computing to Improve the Dependability of an Automotive Environment
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Pacher, Mathias	Organic Computing to Improve the Dependability of an Automotive Environment
Passaretti, Daniele	Hardware Isolation Support for Low-Cost SoC-FPGAs
Pilar von Pilchau, Wenzel	Semi-Model-Based Reinforcement Learning in Organic Computing Systems
Pionteck, Thilo	Hardware Isolation Support for Low-Cost SoC-FPGAs
Portaluri, Andrea	On the Reliability of Real-time Operating System on Embedded Soft Processor for Space Applications
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Rizzieri, Daniele	On the Reliability of Real-time Operating System on Embedded Soft Processor for Space Applications
Robillard, Amanda Katherine	Using Look Up Table Content as Signatures to Identify IP Cores in Modern FPGAs
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Saba, Issa	Orchestrated Co-Scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning
Safi, Hila	QPU-System Co-Design for Quantum HPC Accelerators
Saha, Rappy	FPGA-based Dynamic Deep Learning Acceleration for Real-time Video Analytics
Saha, Sangeet	FPGA-based Dynamic Deep Learning Acceleration for Real-time Video Analytics
Salkhordeh, Reza	Protected Functions: User Space Privileged Function Calls
Schirmeister, Stefan	Effects of Approximate Computing on Workload Characteristics
Schmeißing, Jörn	NDNET: a Unified Framework for Anomaly and Novelty Detection
Schulz, Martin	Orchestrated Co-Scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning Energy Efficient Frequency Scaling on GPUs in Heterogeneous HPC Systems
Schwarz, Tobias	Memristor based FPGAs: Understanding the Effect of Configuration Memory Faults
Schönberner, Connor	Deep Reinforcement Learning with a Classifier System – First Steps
Sick, Bernhard	NDNET: a Unified Framework for Anomaly and Novelty Detection
Stein, Anthony	A context aware and self-improving monitoring system for field vegetables Semi-Model-Based Reinforcement Learning in Organic Computing Systems
Sterpone, Luca	On the Reliability of Real-time Operating System on Embedded Soft Processor for Space Applications
Surhonne, Anmol Prakash	GAE-LCT: A run-time GA-based Classifier Evolution Method for Hardware LCT controlled SoC Performance-Power Optimization
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Tomforde, Sven	Deep Reinforcement Learning with a Classifier System – First Steps
Tuzov, Ilya	Using Look Up Table Content as Signatures to Identify IP Cores in Modern FPGAs
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Wild, Thomas	GAE-LCT: A run-time GA-based Classifier Evolution Method for Hardware LCT controlled SoC Performance-Power Optimization
Wilhelm, Martin	Hardware Isolation Support for Low-Cost SoC-FPGAs
Wintersperger, Karen	QPU-System Co-Design for Quantum HPC Accelerators
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Zhai, Xiaojun	FPGA-based Dynamic Deep Learning Acceleration for Real-time Video Analytics
Ziener, Daniel	Using Look Up Table Content as Signatures to Identify IP Cores in Modern FPGAs

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