Affiliation:
1. University of Southern California, Los Angeles, CA
2. Vanderbilt University, Nashville, TN
Abstract
We present MILAN, a model based extensible framework that facilitates rapid, multigranular performance evaluation of a large class of embedded systems, by seamlessly integrating different widely used simulators in to a unified environment. MILAN provides a formal paradigm for specification of structural and behavioral aspects of embedded systems, an integrated model-based approach, and a unified software environment for system design and simulation. This paper provides an overview of MILAN, discusses the Model Integrated Computing philosophy, and illustrates the high-level modeling concepts being developed in the MILAN project for embedded systems design and evaluation.
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Graphics and Computer-Aided Design,Software
Reference21 articles.
1. Algorithms for Data Intensive Applications on Intelligent and Smart Memories (ADVISOR) Univ. of Southern California. http://advisor.usc.edu.]] Algorithms for Data Intensive Applications on Intelligent and Smart Memories (ADVISOR) Univ. of Southern California. http://advisor.usc.edu.]]
Cited by
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