A hierarchical approach for energy efficient application design using heterogeneous embedded systems

Several features such as reconfiguration, voltage and frequency scaling, low-power operating states, duty-cycling, etc. are exploited for latency and energy efficient application design using heterogeneous embedded systems. However, more choices during application design results in a large design space that must be traversed efficiently. In this paper, we propose a hierarchical methodology that integrates optimization heuristics, high-level performance estimators, and low-level simulators to enable efficient exploration of large design spaces. Our methodology is fast, robust against approximation errors due to high-level modeling, and can evaluate a much larger design space than an optimization heuristic only design space exploration technique. We have augmented MILAN, a model-based integrated simulation framework for embedded systems, to develop an environment to perform hierarchical design space exploration. Using our methodology for a beamforming application, we identify an energy-...

• Type: Conference
• Year: 2003
• Where: CASES
• Authors: Sumit Mohanty, Viktor K. Prasanna
• Keywords: CASES 2003, Design Space, Design Space Exploration, Embedded System, System Software