Hi, lead author here. As oddity mentions, this paper references CUDA and C++ AMP (which both support C++ lambdas as well) as examples of unified programming models for GPU compute as contrasts to the non-unified programming models available for real-time graphics. SYCL is another interesting example in the GPU compute space, but as far as I am aware, it (like the others) does not include any new features that would provide adequate support for the crucial shader specialization optimization.
Adding C++ lambda support to shader programming would certainly be beneficial, but I don't think it, alone, would provide the modularity, composition, and GPU code specialization features necessary for an effective shader programming model.
That said, I am not an expert in SYCL, so if you have some ideas about how SYCL could meet our design goals, I would appreciate further feedback!
I think you should have cited SYCL anyway. You way cited things less relevant, like rust-gpu. While SYCL may not have all the features, it's a precursor by enabling programming GPU and CPU from a single source.
Adding C++ lambda support to shader programming would certainly be beneficial, but I don't think it, alone, would provide the modularity, composition, and GPU code specialization features necessary for an effective shader programming model.
That said, I am not an expert in SYCL, so if you have some ideas about how SYCL could meet our design goals, I would appreciate further feedback!