University of Tehran
Energy and power density concerns in modern processors have led to significant computer architecture research efforts in power-aware and temperature-aware computing. With power dissipation becoming an increasingly vexing problem, power analysis of Graphical Processing Unit (GPU) and its components has become crucial for hardware and software system design. Here, the authors describe their technique for a coordinated measurement approach that combines real total power measurement and per-component power estimation. To identify power consumption accurately, they introduce the Activity-based Model for GPUs (AMG), from which they identify activity factors and power for micro-architectures on GPUs that will help in analyzing power tradeoffs of one component versus another using micro-benchmarks.