The primary aim of this book is to provide a timely and coherent account of the recent advances in many-core computing research. Starting with programming models, operating systems and their applications; it presents runtime management techniques, followed by system modelling, verification and testing methods, and architectures and systems.

• Part I: Programming models, OS and applications
  
  
  • Chapter 1: HPC with many core processors
  
  
  • Chapter 2: From irregular heterogeneous software to reconfigurable hardware
  
  
  • Chapter 3: Operating systems for many-core systems
  
  
  • Chapter 4: Decoupling the programming model from resource management in throughput processors
  
  
  • Chapter 5: Tools and workloads for many-core computing
  
  
  • Chapter 6: Hardware and software performance in deep learning
  
  
  
  
  
• Part II: Runtime management
  
  
  • Chapter 7: Adaptive-reflective middleware for power and energy management in many-core heterogeneous systems
  
  
  • Chapter 8: Advances in power management of many-core processors
  
  
  • Chapter 9: Runtime thermal management of many-core systems
  
  
  • Chapter 10: Adaptive packet processing on CPU-GPU heterogeneous platforms
  
  
  • Chapter 11: From power-efficient to power-driven computing
  
  
  
  
  
• Part III: System modelling, verification, and testing
  
  
  • Chapter 12: Modelling many-core architectures
  
  
  • Chapter 13: Power modelling of multicore systems
  
  
  • Chapter 14: Developing portable embedded software for multicore systems through formal abstraction and refinement
  
  
  • Chapter 15: Self-testing of multicore processors
  
  
  • Chapter 16: Advances in hardware reliability of reconfigurable many-core embedded systems
  
  
  
  
  
• Part IV: Architectures and systems
  
  
  • Chapter 17: Manycore processor architectures
  
  
  • Chapter 18: Silicon photonics enabled rack-scale many-core systems
  
  
  • Chapter 19: Cognitive I/O for 3D-integrated many-core system
  
  
  • Chapter 20: Approximate computing across the hardware and software stacks
  
  
  • Chapter 21: Many-core systems for big-data computing
  
  
  • Chapter 22: Biologically-inspired massively-parallel computing