Google Summer of Code 2025 Contributor
email: abdelrhman.elrawy1@gmail.com
Education: Master of Applied Computing, Wilfrid Laurier University, Canada
Ongoing project:
Support usage of Thrust API in Clad
This project enhances Clad, a Clang-based automatic differentiation tool,
by enabling it to support NVIDIA’s Thrust library for GPU-parallel programming.
The goal is to implement custom derivative rules for Thrust primitives like
thrust::transform and thrust::reduce, making it possible to differentiate
high-performance CUDA code automatically. This work bridges the gap between
automatic differentiation and GPU acceleration, enabling efficient gradient
computations in scientific computing and machine learning workloads.
Project Proposal: URL
Mentors: Vassil Vassilev, Alexander Penev
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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