Name
Abstract | ||
|---|---|---|
Commercial multicore platforms offer flexibility, computational power, and energy efficiency. However, a key open issue remains: how can designers quickly and efficiently map an application onto such a platform while profiting from the potential benefits? This article presents a tool to parallelize applications for execution on embedded multicore platforms, allowing fast design space exploration. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/MM.2009.46 | IEEE Micro |
Keywords | Field | DocType |
embedded multicore platform,key open issue,fast design space exploration,multicore platform,computational power,potential benefit,commercial multicore platforms offer,energy efficiency,data structures,parallelization,exploration,data mining,embedded systems,energy efficient,multicore,profitability,embedded processor,parallel processing,encoding,synchronization | Data structure,Computer architecture,Synchronization,Efficient energy use,Computer science,Parallel processing,Parallel computing,Real-time computing,Design space exploration,Multi-core processor,Discrete cosine transforms,Encoding (memory) | Journal |
Volume | Issue | ISSN |
29 | 3 | 0272-1732 |
Citations | PageRank | References |
20 | 0.99 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jean-Yves Mignolet | 1 | 224 | 16.90 |
| Rogier Baert | 2 | 53 | 5.41 |
| Thomas J. Ashby | 3 | 180 | 10.12 |
| Prabhat Avasare | 4 | 226 | 12.97 |
| Hye-On Jang | 5 | 29 | 1.78 |
| Jae Cheol Son | 6 | 31 | 4.07 |