1 / 5

Integrated Design Environment for Sensor Network Applications

This project aims to develop a modeling and simulation environment for power-aware design of sensor network applications. It includes hierarchical simulation, design space exploration, and integration of different simulators. The goal is to enable rapid evaluation of energy efficiency, latency, and throughput metrics.

samuelmcguire
Download Presentation

Integrated Design Environment for Sensor Network Applications

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. An Integrated Design Environment to Evaluate Power/Performance Tradeoffs for Sensor Network Applications Amol Bakshi, Jingzhao Ou, and Viktor K. Prasanna Dept. of Electrical Engineering - Systems University of Southern California Los Angeles, CA Project URL: http://milan.usc.edu/ funded by the DARPA Power-aware Computing and Communications program

  2. Initial design space ~105-106 Design space pruning ~100 Hierarchical simulation ~10 MILAN: A Model-based Integrated Simulation Framework A unified environment capable of: • modeling a large class of embedded systems and applications • driving design space exploration tools for rapid evaluation of a large design space • seamlessly integrating different widely-used simulators into a single framework for hierarchical simulation • enabling rapid evaluation of different performance metrics such as energy, latency, and throughput • Use coarse system models based on key parameters • Reduce initial design choices • Use low-level simulators to analyze the reduced design options • Choose one (or more) designs for implementation

  3. Design Space Application Model Resource Model Generic ModelingEnvironment (GME 2000) Design Space Exploration (analytical technique) Constraints Offline Estimates High-level Perf. Estimator Identify a set of designs Instruction Level Simulator Cycle Accurate Simulator RT-level Simulator Final Design Accuracy Level of abstraction Hierarchical Simulation Design Flow in MILAN Application (Task Graph) Hardware Resources

  4. SENSOR SENSOR SENSOR SENSOR SENSOR SENSOR SENSOR RADIO MEMORY PROCESSOR BUS (DVS) Sensors fd fd fd fd fd fd fd I. Energy-Efficient Design of Sensor Network Applications • A modeling and simulation environment for power-aware design of a multi-node sensor network • Multi-granularity simulation • Simulator integration • Results from Wattch simulation are used to automatically configure ns-2 parameters • Results from Wattch/ns-2 are used to automatically refine parameters for high-level estimator

  5. Domain selection Kernel application Tradeoff analysis and design space exploration Domain-specific modeling Low-level simulation of candidate designs Energy-efficient design Architecture, parameters (ranges) VHDL code MILAN Low-level simulators (XPower, ModelSim,…) Model interpreters Component specific power function Power estimates Power function builder (curve fitting …) II. Energy-Efficient Design of Kernel Applications for FPGAs

More Related