Name
Abstract | ||
|---|---|---|
High-level synthesis tools are gaining more and more acceptance in industrial design flows. While they increase productivity in implementing a single complex hardware module, synthesizing and optimizing many hardware components simultaneously is still an open problem. Here, domain-specific models and specifications are seen as a key ingredient to raise the level of abstraction in future design flows. In this paper, we present a novel model-based synthesis framework which provides for efficient high-level-synthesis of streaming applications modeled as a set of communicating processes. The underlying formal dataflow model of computation enables model-based optimizations like efficient data caching, and naturally exposes parallelism contained in the application which can also be exploited by the proposed synthesis framework. Using a Motion-JPEG decoder as case-study, we will show how this model-based synthesis approach improves the overall quality of generated implementations in terms of performance and resource utilization. |
Year | Venue | Field |
|---|---|---|
2012 | MBMV | Industrial design,Open problem,Abstraction,Computer science,High-level synthesis,Design flow,Implementation,Dataflow model,Distributed computing,Computation |
DocType | Citations | PageRank |
Conference | 1 | 0.36 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christian Zebelein | 1 | 38 | 5.43 |
| Christian Haubelt | 2 | 796 | 68.77 |
| Joachim Falk | 3 | 215 | 17.27 |
| Jürgen Teich | 4 | 2886 | 273.54 |