| Abstract: |
| The ASTRA Toolbox provides a set of flexible and efficient GPU primitives for transmission-based tomography. It has been powering multiple use cases and software libraries for almost 20 years already, while being continuously maintained, expanded and adapted to the changing demands in the field. One of the important and recent factors for the development of the ASTRA Toolbox has been the tremendously fast growth of Deep Learning adoption in many scientific and engineering applications. In this talk, I will outline what we have been doing to facilitate using the toolbox in combination with Deep Learning libraries and systems, and will provide our outlook for the future direction of its development. |
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