We know there is a LOT of problems to "adapt" cpu app to gpu.
But, for example, they use gpu to "train" AI on Rosetta, so i think it's not impossible to produce gpu app for this project

It's not impossible. After all, it was tried previously, perhaps 9 years ago. The important point is whether it is worthwhile. The previous GPU version ran at roughly the same speed as the CPU version, so that was decided to be not worth continuing.

But, as we said before, some projects run both cpu and gpu apps, so it's not impossible.

PS. I'm much more optimist about cpu optimizations...

For Ralph and Rosetta, CPU optimizations look more worthwhile. For many other BOINC projects, trying GPU versions looks worthwhile.[/quote]

For Ralph and Rosetta, CPU optimizations look more worthwhile. For many other BOINC projects, trying GPU versions looks worthwhile.

Yeap, a lot of bio/chem project and tools are working on gpu, for example Gromacs

Pytorch 1.8 supports Rocm.
CuPy 9.0 now supports Rocm.

PoCl 1.6 is here

PoCl 1.7 released

Support for Clang/LLVM 12
Improved support for cross-compiling
Improved support for SPIR-V binaries when using CPU device
Implemented OpenCL 3.0 features: clGetDeviceInfo queries

After Nvidia, now also AMD has his "Education and Research" initiative, with Rocm Learning Center.

Interesting implementation of OpenCl in Risc-V cpu

You might accomplish more with your efforts to start OpenCL use if you look for online classes for OpenCL and mention here those that are both cheap and suitable for people with no previous OpenCL experience,

LLVM 13 relased with a lot of new features about OpenCL (and initial support of OpenCl 3.0).

You might accomplish more with your efforts to start OpenCL use if you look for online classes for OpenCL and mention here those that are both cheap and suitable for people with no previous OpenCL experience,

Developers, if they want, can find a lot of courses about OpenCL.
Here i report only advancement about OpenCL's ecosystem.

You might accomplish more with your efforts to start OpenCL use if you look for online classes for OpenCL and mention here those that are both cheap and suitable for people with no previous OpenCL experience,

This could be an interesting course

You might accomplish more with your efforts to start OpenCL use if you look for online classes for OpenCL and mention here those that are both cheap and suitable for people with no previous OpenCL experience,

This could be an interesting course

It looks interesting - but not enough information to determine if SYCL is BOINC-compatible. Thanks, though.

No information on how to register fir the online classes without also registering for the not-so-cheap on-site events.

It looks interesting - but not enough information to determine if SYCL is BOINC-compatible. Thanks, though.

As i said times ago, boinc is "language agnostic". You can compile and run C++, Cuda, OpenCl, Rocm, R, etc languages without problems.
I remember a project (now closed) with Java app on Boinc.

At the end of this page there is a lot of links to C++/Rocm/OpenCl/Cuda/Sycl sources and projects

New OpenCl open source tools and resources

Kronos Group released OpenCl 3.0.10

Kronos Group released updated documentation about C++ for OpenCL on github

Intel released OneApi 2022

Intel created the world’s first unified compiler implementing C++, SYCL and Fortran for CPUs and GPUs utilizing a common LLVM backend.
Accelerated compute on CPUs and GPUs for Python, today’s most popular programming language.
The Intel DPC++ Compatibility Tool was improved to automatically migrate 90% to 95% of CUDA code to SYCL/DPC++

Interesting Intel DevFest about OneApi, Sycl and OpenCl

PoCl 1.8
Rocm 5.0.2