Name
Title | ||
|---|---|---|
Analysis of Parallel Computing Strategies to Accelerate Ultrasound Imaging Processes. |
Abstract | ||
|---|---|---|
This work analyses the use of parallel processing techniques in synthetic aperture ultrasonic imaging applications. In particular, the Total Focussing Method, which is a $O(N^2 \\times P)$ problem, is studied. This work presents different parallelization strategies for multicore CPU and GPU architectures. The parallelization processes on both platforms are discussed and optimized in order to achieve real-time performance. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TPDS.2016.2544312 | IEEE Trans. Parallel Distrib. Syst. |
Keywords | Field | DocType |
Array signal processing,Real-time systems,Graphics processing units,Ultrasonic imaging,Parallel processing,Multicore processing,Transducers | Signal processing,Computer science,Synthetic aperture radar,CUDA,Parallel computing,Parallel processing,Ultrasound imaging,General-purpose computing on graphics processing units,Multi-core processor,Automatic parallelization | Journal |
Volume | Issue | ISSN |
27 | 12 | 1045-9219 |
Citations | PageRank | References |
1 | 0.43 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| D. Romero-Laorden | 1 | 1 | 1.45 |
| Javier Villazón-Terrazas | 2 | 1 | 0.43 |
| O. Martínez-Graullera | 3 | 1 | 2.80 |
| Alberto Ibañez | 4 | 1 | 0.77 |
| Parrilla, M. | 5 | 7 | 2.26 |
| Matilde Santos Peñas | 6 | 25 | 5.08 |