Accelerating Neural Networks.- Energy Efficient LSTM Accelerators for Embedded FPGAs through Parameterised Architecture Design.- A Comparative Study of Neural Network Compilers on ARMv8 Architecture.- Organic Computing Methodology (OC).- A Decision-Theoretic Approach for Prioritzing Maintenance Activities in Organic Computing Systems.- Predicting Physical Disturbances in Organic Computing Systems using Automated Machine Learning.- Self-Adaptive Diagnosis and Reconfigurationin ADNA-Based Organic Computing.- Dependability and Fault Tolerance (VERFE) Error Codes in and for Network Steganography.- Modified Cross Parity Codes For Adjacent Double Error Correction.- Computer Architecture Co-Design.- COMPESCE: A Co-design Approach for memory subsystem Performance Analysis in HPC many-cores.- Post-Silicon Customization Using Deep Neural Networks.- Computer Architectures and Operating Systems.- TOSTING: Investigating Total Store Ordering on ARM.- Back to the Core-Memory Age: Running Operating Systems in NVRAM only.- Retrofitting AMD x86 processors with active virtual machine introspection capabilities.- Organic Computing Applications 1 (OC).- Abstract Artificial DNA’s Improved Time Bounds.- Evaluating the Comprehensive Adaptive Chameleon Middleware for Mixed-Critical Cyber-Physical Networks.- CoLeCTs: Cooperative Learning Classifier Tables for Resource Management in MPSoCs.- Hardware Acceleration.- Improved Condition Handling in CGRAs with Complex Loop Support.- FPGA-based Network-attached Accelerators – An Environmental Life Cycle Perspective.- Optimization of OLAP In-memory DB Management Systems with PIM.- Organic Computing Applications 2 (OC).- Real-Time Data Transmission Optimization on 5G Remote-Controlled Units using Deep Reinforcement Learning.- Autonomous ship collision avoidance trained on observational data.- Towards Dependable Unmanned Aerial Vehicle Swarms Using Organic Computing.