Publications:Programming Real-time Image Processing for Manycores in a High-level Language
From CERES
| Title | Programming Real-time Image Processing for Manycores in a High-level Language |
|---|---|
| Author | Essayas Gebrewahid and Zain Ul-Abdin and Bertil Svensson and Veronica Gaspes and Bruno Jego and Bruno Lavigueur and Mathieu Robart |
| Year | 2013 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | Advanced Parallel Processing Technology |
| DOI | http://dx.doi.org/10.1007/978-3-642-45293-2_29 |
| Conference | 10th International Conference on Advanced Parallel Processing Technology, APPT 2013, Stockholm, August |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:667725 |
| Abstract | Manycore architectures are gaining attention as a means to meet the performance and power demands of high-performance embedded systems. However, their widespread adoption is sometimes constrained by the need formastering proprietary programming languages that are low-level and hinder portability. We propose the use of the concurrent programming language occam-pi as a high-level language for programming an emerging class of manycore architectures. We show how to map occam-pi programs to the manycore architecture Platform 2012 (P2012). We describe the techniques used to translate the salient features of the language to the native programming model of the P2012. We present the results from a case study on a representative algorithm in the domain of real-time image processing: a complex algorithm for corner detectioncalled Features from Accelerated Segment Test (FAST). Our results show that the occam-pi program is much shorter, is easier to adapt and has a competitive performance when compared to versions programmed in the native programming model of P2012 and in OpenCL. |
