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.