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.