IRIS-HEP Fellow
email: maksym.andriichuk@icloud.com
Education: Mathematics, University of Wuerzburg, Germany
Ongoing project:
Optimizing automatic differentiation using activity analysis
Clad has undergone significant optimization in the recent years. One such optimization is the To-Be-Recorded optimization which reduces the memory pressure to the clad tape data structure. The next step is to implement the activity analysis which discards all statements which are irrelevant for the generated code. That is, if the statements do not depend on the input/output variables of a routine in a differentiable way, they are ignored. Combining both analyses could result in a much greater performance, which is our ultimate goal.
Project Proposal: URL
Mentors: Vassil Vassilev, David Lange, Petro Zarytskyi
We are part of the
Princeton Department of Physics
and
Princeton Institute for Computational Science and Engineering
(PICSciE).
Contact: David Lange; Vassil Vassilev
This project is supported by the National Science Foundation under Grant OAC-1931408 (2020-2023) and OAC-2311471(2023-2026). Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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