Name
Abstract | ||
|---|---|---|
Design and implementation of smart vision systems often involve the mapping of complex image processing algorithms into efficient, real-time implementations on multicore platforms. In this paper, we describe a novel design tool that is developed to address this important challenge. A key component of the tool is a new approach to hierarchical dataflow scheduling that integrates a global scheduler and multiple local schedulers. The local schedulers are lightweight modules that work independently. The global scheduler interacts with the local schedulers to optimize overall memory usage and execution time. The proposed design tool is demonstrated through a case study involving an image stitching application for large scale microscopy images. |
Year | Venue | Field |
|---|---|---|
2018 | PROCEEDINGS OF THE 2018 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE) | Computer architecture,Image stitching,Scheduling (computing),Computer science,Design tool,Image processing,Real-time computing,Memory management,Dataflow,Digital image processing,Multi-core processor |
DocType | ISSN | Citations |
Conference | 1530-1591 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| jiahao wu | 1 | 10 | 7.03 |
| Timothy Blattner | 2 | 7 | 2.62 |
| Walid Keyrouz | 3 | 7 | 3.63 |
| Shuvra S. Bhattacharyya | 4 | 1416 | 162.67 |