Multiscale Lab, the lab of gpugrid, some times ago published this tool: SWAN, porting cuda to opencl...

Maybe their new "HIP" in the Open Compute / Boltzmann / ROCm 1.3 initiative could be worth a new try?

Maybe their new "HIP" in the Open Compute / Boltzmann / ROCm 1.3 initiative could be worth a new try?

Very interesting
rocRAND

Another interesting news about converting Cuda into OpenCl
LLVM Cuda to HIP

With the latest version (1.4) there are a lot of new features, bugfix, documentation, etc
HIP

- Support threadIdx, blockIdx, blockDim directly (no need for hipify conversions in kernels.) HIP Kernel syntax is now identical to CUDA kernel syntax - no need for extra parms or conversions.
- Remove need for manual destructors
- Provide printf in device code
- Support for globals when using module API
- hipify-clang now supports using newer versions of clang
- HIP texture support equivalent to CUDA texture driver APIs

etc

Another interesting news about converting Cuda into OpenCl
LLVM Cuda to HIP

ReSYCLator seems to be interesting.
And, also, an interesting article about Cuda, OpenCl and Sycl

First release of HipCl

Sycl on Cuda

Sycl on Cuda

Sycl on Cuda

Will it work with a Wrapper (ACEMD3)? That could pose some issues.

Another big step: hipCl 0.9

Hypify

Developing a Cross-Architecture DPC++ Application using Migrated CUDA Stencil Code

You can win 1000$ (and others prizes) porting CUDA code to SYCL: The Great Cross Architecture Challenge

Porting CUDA to SYCL/DPC++

AMD released Orochi to dynamic runtime switching between radeon HIP & NVIDIA CUDA

Syclomatic

SYCLomatic aims to ease the transition of NVIDIA CUDA code-bases over to C++17-based SYCL as the Khronos API single source standard

Codeplay released oneAPI plugins for Nvidia and AMD gpu for free.

Migrate CUDA to DPC++/Sycl