Abstract
<jats:p>A systematic methodology for near-optimal software/hardware codesign mapping onto an FPGA platform with microprocessor and HW accelerators is proposed. The mapping steps deal with the inter-organization, the foreground memory management, and the datapath mapping. A step is described by parameters and equations combined in a scalable template. Mapping decisions are propagated as design constraints to prune suboptimal options in next steps. Several performance-area Pareto points are produced by instantiating the parameters. To evaluate our methodology we map a real-time bio-imaging application and loop-dominated benchmarks.</jats:p>
| Original language | English |
|---|---|
| Pages (from-to) | 1-25 |
| Number of pages | 0 |
| Journal | ACM Transactions on Architecture and Code Optimization |
| Volume | 10 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - May 2013 |
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