Add another project on cuda and clad

Author: vgvassilev

_data/openprojectlist.yml

@@ -35,6 +35,42 @@
     * Present the work at the relevant meetings and conferences
   tags: ["xeus", "xeus-cpp", "clang", "clang-repl", "jupyter", "gpu", "cuda", "python", "plugins"]
 
+- name: Consolidate and advance the GPU infrastructure in Clad
+  description: |
+    Clad is a Clang-based automatic differentiation (AD) plugin for C++. Over
+    the past years, several efforts have explored GPU support in Clad, including
+    differentiation of CUDA code, partial support for the Thrust API, and
+    prototype integrations with larger applications such as XSBench, LULESH, a
+    tiny raytracer in the Clad repository, and LLM training examples (including
+    work carried out last year). While these efforts demonstrate feasibility,
+    they are fragmented across forks and student branches, are inconsistently
+    tested, and lack reproducible benchmarking.
+
+    This project aims to consolidate and strengthen Clad's GPU
+    infrastructure. The focus is on upstreaming existing work, improving
+    correctness and consistency of CUDA and Thrust support, and integrating Clad
+    with realistic GPU-intensive codebases. A key goal is to establish reliable
+    benchmarks and CI coverage: if current results are already good, they should
+    be documented and validated; if not, the implementation should be optimized
+    further so that Clad is a practical AD solution for real-world GPU
+    applications.
+  tasks: |
+    * Recover, reproduce, and upstream past Clad+GPU work, including prior
+      student projects and LLM training prototypes.
+    * Integrate Clad with representative GPU applications such as XSBench,
+      LULESH, and the in-tree tiny raytracer, ensuring correct end-to-end
+      differentiation.
+    * Establish reproducible benchmarks for these codebases and compare results
+      with other AD tools (e.g. Enzyme) where feasible.
+    * Reduce reliance on atomic operations, improve accumulation strategies,
+      and add support for additional GPU primitives and CUDA/Thrust features.
+    * Add unit and integration tests and enable GPU-aware CI to catch
+      correctness and performance regressions.
+    * Improve user-facing documentation and examples for CUDA and Thrust usage.
+    * Present intermediate and final results at relevant project meetings and
+      conferences.
+  tags: ["clad", "gpu", "cuda", "gsoc", "gsoc-26"]
+
 - name: Enable automatic differentiation of OpenMP programs with Clad
   description: |
     Clad is an automatic differentiation (AD) clang plugin for C++. Given a C++