Parallel-computing architecture for JWST wavefront-sensing and integrated modeling

J. Scott Smith; Bruce H. Dean; Alexander Rilee; Thomas P. Zielinski

doi:10.1117/12.920199

10 November 2011 Parallel-computing architecture for JWST wavefront-sensing and integrated modeling

J. Scott Smith, Bruce H. Dean, Alexander Rilee, Thomas P. Zielinski

Proceedings Volume 8336, Integrated Modeling of Complex Optomechanical Systems; 83360Y (2011) https://doi.org/10.1117/12.920199
Event: Integrated Modeling of Complex Optomechanical Systems, 2011, Kiruna, Sweden

Abstract

The James Webb Space Telescope (JWST) is the successor to the Hubble Space Telescope and will be NASA's premier observatory of the next decade. Image-based wavefront sensing (phase retrieval) is the primary method for ground testing and on-orbit commissioning. For ground tests at NASA's Goddard Space Flight Center (GSFC) and Johnson Space Center (JSC), near-real-time analysis is critical for ensuring that pass/fail criteria are met before completion of a specific test. To address this need we have developed a computational architecture for image processing and phase retrieval. Using commercially available off-the-shelf hardware and software, we have designed, implemented, and tested a solution for high-speed parallel computing. The architecture is a hybrid solution utilizing both CPUs and GPUs and exploiting the unique advantages of each. Discussions are presented of the architecture, performance, and current limitations.

Citation Download Citation

J. Scott Smith, Bruce H. Dean, Alexander Rilee, and Thomas P. Zielinski "Parallel-computing architecture for JWST wavefront-sensing and integrated modeling", Proc. SPIE 8336, Integrated Modeling of Complex Optomechanical Systems, 83360Y (10 November 2011); https://doi.org/10.1117/12.920199

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