Title :
Adapting Matrix-Vector-Multiply Wavefront Reconstruction to SMP
Author :
Zhang, Haotian ; Li, Mei ; Zhou, Luchun
Author_Institution :
Key Lab. on Adaptive Opt., Inst. of Opt. & Electron., Chengdu, China
Abstract :
In adaptive optics systems, the process time of wave front controller is a critical parameter. For a fixed frame rate, decreasing the process time results in higher control bandwidth. Among the process steps of a wave front controller, wave front reconstruction is a time consuming task. In this paper, we parallelized wave front reconstruction algorithm on a cutting edge shared-memory eight-core DSP to reduce process time. The conducted experiment shows that even using the most computation and memory intensive matrix-vector-multiply (MVM) reconstruction algorithm, performance requirements can be met with reconstruction latency around 130us in a 913 actuators AO system. With parallelization of the reconstruction algorithm, it´s possible. to apply high frame rate in the system and easy to scale up to larger systems with more actuators.
Keywords :
actuators; adaptive optics; digital signal processing chips; matrix algebra; SMP; actuators AO system; adaptive optics systems; cutting edge shared-memory eight-core DSP; matrix-vector-multiply wavefront reconstruction; memory intensive matrix-vector-multiply reconstruction; parallelized wave front reconstruction; reconstruction latency; wave front controller; Actuators; Adaptive optics; Delay; Digital signal processing; Image reconstruction; Multicore processing; Reconstruction algorithms; Adaptive Optics; DSP; Parallel processing; Wavefront reconstruction;
Conference_Titel :
Distributed Computing and Applications to Business, Engineering & Science (DCABES), 2012 11th International Symposium on
Conference_Location :
Guilin
Print_ISBN :
978-1-4673-2630-8
DOI :
10.1109/DCABES.2012.43