Architecture of Computing Systems

Chapter 1 Energy Efficient Frequency Scaling on GPUs in Heterogeneous HPC Systems

Chapter 2 Dual-IS: Instruction Set Modality for Efficient Instruction Level Parallelism

Chapter 3 Pasithea-1: An Energy-Efficient Self-contained CGRA with RISC-Like ISA

Chapter 4 Orchestrated Co-scheduling, Resource Partitioning, and Power Capping on CPU-GPU Heterogeneous Systems via Machine Learning

Chapter 5 FPGA-Based Dynamic Deep Learning Acceleration for Real-Time Video Analytics

Chapter 6 Effects of Approximate Computing on Workload Characteristics

Chapter 7 QPU-System Co-design for Quantum HPC Accelerators

Chapter 8 Protected Functions: User Space Privileged Function Calls

Chapter 9 Using Look Up Table Content as Signatures to Identify IP Cores in Modern FPGAs

Chapter 10 Hardware Isolation Support for Low-Cost SoC-FPGAs

Chapter 12 On the Reliability of Real-Time Operating System on Embedded Soft Processor for Space Applications

Chapter 13 NDNET: A Unified Framework for Anomaly and Novelty Detection

Chapter 14 Organic Computing to Improve the Dependability of an Automotive Environment

Chapter 15 A Context Aware and Self-improving Monitoring System for Field Vegetables

Chapter 16 Semi-model-Based Reinforcement Learning in Organic Computing Systems

Chapter 17 Deep Reinforcement Learning with a Classifier System – First Steps

Chapter 18 GAE-LCT: A Run-Time GA -Based Classifier E volution Method for Hardware LCT Controlled SoC Performance-Power Optimization