Name
Abstract | ||
|---|---|---|
Multicore architectures are increasingly used in embedded systems to achieve higher throughput with lower energy consumption. This trend accentuates the need to convert existing sequential code to effectively exploit the resources of these architectures. We present a parallelization flow and toolset for legacy C code that includes a performance estimation tool, a parallelization tool, and a streaming-oriented parallelization framework. These are part of the work-in-progress EU FP7 PHARAON project that aims to develop a complete set of techniques and tools to guide and assist software development for heterogeneous parallel architectures. We demonstrate the effectiveness of the use of the toolset in an experiment where we measure the parallelization quality and time for inexperienced users, and the parallelization flow and performance results for the parallelization of a practical example of a stereo vision application. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1145/2609248.2609264 | SCOPES |
Keywords | Field | DocType |
parallel programming,energy estimation,data dependency analysis,execution profiling,program parallelization | Computer architecture,Computer science,Parallel computing,Flow (psychology),Performance estimation,Real-time computing,Exploit,Throughput,Multi-core processor,Energy consumption,Software development,Automatic parallelization | Conference |
Citations | PageRank | References |
0 | 0.34 | 24 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mihai Lazarescu | 1 | 486 | 53.45 |
| Albert Cohen | 2 | 85 | 10.03 |
| Adrien Guatto | 3 | 18 | 2.77 |
| Nhat Minh Lê | 4 | 39 | 2.59 |
| Luciano Lavagno | 5 | 1752 | 216.46 |
| Antoniu Pop | 6 | 198 | 14.36 |
| Manuel Prieto | 7 | 2 | 0.74 |
| Andrei Terechko | 8 | 133 | 8.64 |
| Alexandru Sutii | 9 | 0 | 0.34 |