Model-Based Integrated Simulation (MILAN)

Abstract

The motivation for the Model-based Integrated Simulation (MILAN) project is to develop an extensible modeling, simulation, and design space exploration framework for the design of latency and energy efficient embedded systems for signal processing applications. Design of embedded systems requires minimization of energy dissipation (to maximize battery life) while meeting a given latency constraint (typically real-time constraints). While until now Application Specific Integrated Circuits (ASICs) were considered the primary choice for low power high performance embedded systems, the recent advances in the design of general purpose processors (GPP), digital signal processors (DSP), field programmable gate arrays (FPGAs), and memories have provided viable commercial-off-the-self (COTS) alternatives to ASICs. These devices are designed using low-leakage process and support a number of low power operating and standby states, dynamic voltage and frequency scaling, among others to support energy optimization. In the MILAN project, we focus on signal processing applications that process a stream of input frames while meeting a given latency constraint for the processing of a single frame. MILAN is a joint effort by the University of Southern California and Vanderbilt University and is supported by the DARPA Power Aware Computing and Communication Program.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2005
Accession Number
ADA438910

Entities

People

  • Akos Lédeczi
  • Cauligi S. Raghavendra
  • Viktor K. Prasanna

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Application-Specific Integrated Circuits
  • Automated Target Recognition
  • California
  • Computer Simulations
  • Computers
  • Detectors
  • Digital Signal Processing
  • Embedded Systems
  • Field Programmable Gate Arrays
  • Integrated Circuits
  • Microcontrollers
  • Signal Processing
  • Simulations
  • Space Exploration
  • Target Recognition
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Integrated Circuit Design and Technology.
  • Parallel and Distributed Computing.
  • Technical Research and Report Writing.

Technology Areas

  • Space